Career Opportunities:

• Design Engineer

• CAD Engineer

• Product Designer

• Mechanical Drafter

• Manufacturing Engineer

Most Suitable For:

• Engineering students & professionals looking to enhance CAD skills.

• Mechanical engineers aiming for careers in design & manufacturing.

• Individuals seeking expertise in industry-leading CAD tools.

• Those interested in product development & 3D modeling.

Key Highlights:

AutoCAD for Mechanical Engineers

• 2D Drafting & Annotation

• 3D Modeling & Visualization

• Geometric Dimensioning & Tolerancing (GD&T)

• Assembly & Sheet Metal Drawings

NX CAD

• Parametric & Direct Modeling

• Advanced Surface & Sheet Metal Design

• Assembly & Simulation Tools

• Drafting & Documentation

SolidWorks

• Part & Assembly Modeling

• Advanced Features (Weldments, Sheet Metal, Mold Design)

• Motion Analysis & Simulation

• Technical Drawings & BOM Creation

Career Opportunities:

• Design Engineer

• CAD Engineer

• Product Designer

• Mechanical Drafter

• Tooling Engineer

• Automotive Designer

Most Suitable For:

• Mechanical and Production Engineering students or graduates

• Professionals looking to upskill in CAD design software

• Individuals aiming for careers in automotive, aerospace, or manufacturing industries

• Those interested in product design and development

Key Highlights

AutoCAD for Mechanical Engineers

• 2D Drafting and Annotation

• Parametric Constraints and Layers

• Isometric Drawings and Projections

• Sheet Metal and Mechanical Components

CATIA

• Sketcher and Part Design

• Assembly Modeling and Surface Design

• Generative Shape and Sheet Metal Design

• Drafting, Detailing, and Realistic Rendering

NX CAD

• Solid and Surface Modeling

• Advanced Assembly Design

• Generative Design and Simulation

• Drafting, Detailing, and Manufacturing Modules

Career Opportunities:

• CAD Engineer

• Design Engineer

• Simulation Analyst

• Product Designer

• Mechanical Drafter

Most Suitable For:

• Engineering students & graduates (Mechanical, Automobile, Aerospace)

• Professionals looking to upskill in CAD & CAE software

• Individuals seeking careers in product design & simulation

• Those aiming for industry-ready expertise in CAD & FEA

Key Highlights:

AutoCAD for Mechanical Engineers

• 2D Drafting (Mechanical Drawings, Annotations, Dimensioning)

• 3D Modeling (Solid, Surface, Isometric Views)

• Assembly & Part Design Techniques

• Industry-Oriented Mechanical Drawings

CATIA

• Part Design (Sketching, Parametric Modeling)

• Assembly Design & Sheet Metal Modeling

• Surface Modeling (Complex Shape Creation)

• Drafting & Documentation for Manufacturing

ANSYS Workbench

• Finite Element Analysis (FEA) Fundamentals

• Structural & Thermal Analysis

• Mesh Generation & Optimization Techniques

• Real-World Case Studies & Project-Based Learning

Career Opportunities:

• Software Developer

• Application Engineer

• System Programmer

• Embedded Engineer

• Backend Developer

Most Suitable For:

• Students and freshers looking to build a strong foundation in programming.

• Professionals transitioning into software development roles.

• Engineers who want to enhance their coding skills for technical domains.

• Anyone interested in learning logic building and structured programming.

Key Highlights:

C Programming

• Basics: Syntax, Data Types, Variables, Operators

• Control Flow: Loops, Conditional Statements, Functions

• Pointers & Memory Management: Dynamic Allocation, Arrays, Structures

• File Handling: Read/Write Operations, Binary & Text Files

• Data Structures: Linked Lists, Stacks, Queues, Trees

Core Java

• Java Fundamentals: OOPs Concepts, Classes & Objects, Exception Handling

• Collections Framework: Lists, Sets, Maps, Iterators

• Multithreading & Concurrency: Threads, Synchronization

• JDBC & Database Connectivity: MySQL, SQL Queries, CRUD Operations

• Java GUI & Web: Swing, Servlets, JSP Basics

C++ Programming

• C++ Basics: Syntax, Data Types, Operators, Functions

• Object-Oriented Programming: Encapsulation, Inheritance, Polymorphism

• Templates & STL: Vectors, Maps, Queues, Iterators

• Memory Management: Dynamic Allocation, Smart Pointers

• File Handling & Exception Handling

Career Opportunities:

• Design Engineer

• CAD Engineer

• Product Designer

• Mechanical Draftsman

Most Suitable For:

• Engineering students & professionals aiming for a career in mechanical design

• Individuals looking to master 3D modeling & CAD tools for product design

• Fresh graduates seeking jobs in automotive, aerospace, or manufacturing industries

• Professionals wanting to upgrade their CAD skills for better career prospects

Key Highlights :

AutoCAD for Mechanical Engineers

• 2D Drafting: Creating & editing technical drawings

• Dimensioning & Annotations: Adding measurements & notes for clarity

• Layers & Blocks: Organizing designs for efficient modifications

• Isometric & 3D Drafting: Representing mechanical components accurately

SolidWorks

• Sketching & Part Modeling: Creating 2D sketches & 3D models

• Assembly Design: Combining multiple parts to form a product

• Surface Modeling: Advanced techniques for complex designs

• Simulation & Analysis: Evaluating mechanical stress & performance

CATIA

• Parametric & Freeform Modeling: Designing complex surfaces

• Sheet Metal Design: Creating bendable metal components

• Generative Shape Design: Advanced surfacing techniques

• Kinematics & Motion Analysis: Simulating real-world mechanical movements

Career Opportunities:

• Software Developer

• Backend Engineer

• Data Analyst

• Automation Tester

• AI/ML Engineer

Most Suitable For:

• Students & graduates aspiring for software jobs

• Professionals looking to upskill in programming

• Enthusiasts interested in automation & data science

• Anyone seeking a career in software development

Key Highlights:

Core Java

• Java fundamentals & OOP concepts

• Exception handling & multithreading

• Collections framework & data structures

• JDBC for database connectivity

• Servlets & JSP for web applications

• Spring Boot basics for microservices

Python

• Python syntax & data types

• Object-oriented programming in Python

• File handling & exception management

• NumPy & Pandas for data analysis

• Flask & Django for web development

• Introduction to AI & machine learning

Career Opportunities:

• Design Engineer

• CAD Engineer

• CAE Analyst

• Mechanical Designer

• Product Engineer

Most Suitable For:

• Engineering students & professionals in mechanical design

• Individuals seeking careers in CAD & CAE industries

• Professionals aiming to enhance product design skills

• Those interested in industrial & manufacturing design

Key Highlights:

AutoCAD for Mechanical Engineers

• 2D drafting & technical drawings

• 3D modeling & visualization

• Mechanical component design basics

• Layer management & dimensioning

• Assembly drawings & sheet layouts

• Blueprint reading & industry standards

NX CAD

• Parametric & direct modeling

• Assembly design & constraints

• Surface & sheet metal modeling

• Drafting & documentation tools

• Design validation & optimization

• Product lifecycle management (PLM)

ANSYS Workbench

• Finite element analysis (FEA) basics

• Structural & thermal simulations

• Meshing & material properties setup

• Static & dynamic stress analysis

• Fluid flow & heat transfer modeling

• Result interpretation & report generation

Career Opportunities:

• Software Developer

• Backend Engineer

• Java Developer

• System Architect

• Full Stack Developer

Most Suitable For:

• Students aiming for software development careers

• Professionals seeking expertise in Java ecosystems

• Engineers transitioning to full-stack development

• Developers preparing for enterprise-level applications

Key Highlights:

C Programming

• Fundamentals of C and syntax

• Data types, variables, and operators

• Control structures (loops, if-else, switch)

• Functions, recursion, and scope

• Pointers and dynamic memory allocation

• Arrays, structures, and unions

• File handling and input/output operations

C++ Programming

• Introduction to Object-Oriented Programming (OOP)

• Classes, objects, and constructors

• Inheritance, polymorphism, and abstraction

• Standard Template Library (STL) – vectors, maps, sets

• Exception handling and error management

• File handling and streams

• Templates and advanced C++ concepts

Core Java

• Java syntax and basic programming concepts

• OOP principles – classes, objects, inheritance

• Exception handling and multithreading

• Java Collections Framework (ArrayList, HashMap, LinkedList)

• File handling and input/output operations

• JDBC for database connectivity

• Introduction to Java frameworks

Advanced Java

• Servlets – request handling, session management

• JSP (JavaServer Pages) – scripting, directives

• JDBC – database interaction with MySQL/Oracle

• Multithreading and concurrent programming

• Web application development and deployment

• Enterprise JavaBeans (EJB) and Java Web Services

• Spring framework basics (optional)

Career Opportunities:

• Software Developer

• Data Scientist

• Machine Learning Engineera

• Software Engineer

• Data Analyst

Most Suitable For:

• Students & graduates aiming for software careers

• Professionals shifting to software & data science

• Developers enhancing programming & analytics skills

• Enthusiasts exploring coding & data-driven insights

Key Highlights:

C Programming

• Basics: variables, data types, operators

• Control statements: loops, functions, arrays

• Pointers & memory management techniques

• File handling: reading & writing files

• Data structures: linked lists, stacks, queues

• Dynamic memory allocation & recursion

C++ Programming

• Object-Oriented Programming (OOP) concepts

• Constructors, destructors, and inheritance

• Polymorphism and function overloading

• Standard Template Library (STL) usage

• Exception handling & file operations

• Multi-threading & memory management

Core Java

• Java fundamentals: syntax, operators, loops

• OOP in Java: classes, objects, inheritance

• Exception handling & multithreading

• Collections framework: ArrayList, HashMap, etc.

• JDBC for database connectivity

• File handling & I/O operations

Python

• Python syntax & scripting basics

• Data types, lists, tuples, and dictionaries

• Functions, lambda expressions, and OOP

• Modules, libraries, and virtual environments

• Web scraping using BeautifulSoup & Selenium

• Error handling and debugging techniques

Data Science using Python

• Data handling with Pandas & NumPy

• Data visualization using Matplotlib & Seaborn

• Statistical analysis & data preprocessing

• Machine learning with Scikit-learn

• Building predictive models & evaluation

• Real-world case studies & project implementation

Career Opportunities:

• Urban Planners

• Architectural designers

• Interior Designer

• Landscape Architect

• Building Information Modeling (BIM) Specialist

Most Suitable For:

• Students or professionals within engineering or associated disciplines

• Those in the fields of interior design, civil engineering, and urban planning

• Individuals with aspirations to pursue a career in architecture

Key Highlights:

Foundations of Architectural Design

• Understanding Perspective Views

• Exploring Design Elements

• Mastering Space Planning

• Familiarizing with Building Materials

Material Selection and Application

• Identifying Types and Uses of Materials

• Exploring Masonry Varieties and Applications

• Understanding Different Finishing Techniques and Their Uses

Visualization & Animation With Lumion

• Visualization techniques mastery.

• Dynamic animations creation.

• Realistic environment rendering.

• Hands-on practical projects.

Estimation and Cost Analysis

• Practical Estimation and Costing Exercises

• Utilizing Samples for Estimation and

Engineering Drawing with AutoCAD

• Working with Basic Profiles

• Efficient Layer Management Techniques

• Understanding Blocks and References

• Layout Design and Printing

• Collaboration and Data Exchange Procedures

• Introduction to 3D Modeling and AutoLISP Scripting

BIM Modeling using Revit

• Exploring Building Elements

• Utilizing Construction Modeling Tools

• Conducting Conceptual Energy

• Analysis

• Rendering and Creating Walkthroughs

• Collaboration Techniques

• Exploring Design Options and Phasing

• Introduction to Adaptive Components

3D Modeling using 3DS Max

• Understanding Shapes and Geometry

• Applying Modifiers

• Modeling Interior, Exterior, and Mechanical Objects

• Material Application and Management

• Lighting, Camera Setup, and Rendering

• Animation Techniques

Visualization with Vray

• V-Ray Image Sampling Techniques

• V-Ray Lighting Methods

• Implementing Global Illumination for Exterior and Interior Scenes

• Utilizing V-Ray Physical Camera

• Managing V-Ray Materials

• Creating Aerial Perspectives with V-Ray

• Exploring V-Ray Displacement Modifiers

Career Opportunities:

• AI Specialist

• Machine Learning Engineer

• Data Scientist

• Data Analyst

• IoT Developer

• AI & ML Researcher

• Business Intelligence Analyst

Most Suitable For:

• Undergraduates and recent graduates in STEM fields seeking practical, industry-relevant skills.

• Anyone with a keen interest in understanding and applying AI and ML to solve real-world problems.

• Software developers and IT professionals aiming to transition into the AI and ML domain.

Key Highlights:

Foundations of AI & ML

• Introduction to AI and ML concepts

• Historical context and evolution of AI

• Understanding the types and applications of AI and ML in various

Python Programming for AI & ML

• Python basics: Data types, loops, functions

• Data science libraries: NumPy, pandas, Matplotlib, Scikit-learn

• TensorFlow and Keras introduction for neural networks

Data Science with Python

• Data collection, cleaning, and preprocessing

• Exploratory data analysis (EDA) and visualization

• Statistical analysis and hypothesis testing for data-driven decisionmaking

Machine Learning Models

•  Supervised learning: Regression and classification

• Unsupervised learning: Clustering and dimensionality reduction

• Ensemble learning techniques and model evaluation metrics

Deep Learning and Neural Networks

• Deep Learning and Neural Networks Fundamentals

• Convolutional Neural Networks (CNNs) for image processing

• Recurrent Neural Networks (RNNs) for sequence data

• Implementing models with TensorFlow and Keras

SQL for Data Management

• Basics of SQL: Queries, joins, and aggregates

• Integrating SQL with Python for data analytics

• Advanced SQL techniques for complex data manipulation

Power BI for Data Visualization

• Creating interactive dashboards and reports

• Data modeling in Power BI

• Advanced data analytics and visualizations with DAX

Internet of Things (IoT) Integration

•  Introduction to IoT concepts and components

• Collecting and analyzing data from IoT devices with Python

• Building AI models for predictive maintenance and real-time

Career Opportunities:

• BIM Consultant

• BIM Coordinator

• BIM Manager

• BIM Modeler

• BIM Engineer

Most Suitable For:

• Architects, Engineers, Project Managers.

• Ideal for transitioning to a BIM-related career.

• Industry professionals who wish to deepen understanding of BIM principles and
  applications.

Key Highlights:

BIM Concepts

• Concepts

• Terminologies in ISO 19650

• Principles in ISO 19650

Engineering Drawing using AutoCAD 

• Basic profiles

• Layer management

• Blocks and References

• Layouts and Printing

• Collaboration and Data Exchange

• 3D modelling

• AutoLISP

Worksharing

• Mechanical system modeling

• Electrical & Piping modeling

• Sheet sets

• Family creation

• HVAC Analysis Report

Estimation and Costing

• Material quantities estimation

• Labor costs assessment

• Cost estimation software

5D BIM using Navisworks

• Introduction to 5D BIM

• Clash detection

• Timliner simulation

• Quantification - Estimation

• Animation & Scripting

LOD

• Various dimensions

• LOD and its types

• BIM Execution Plan in LOD

• BIM Integration

BIM Modeling using Revit

• Modelling BIM elements

• Construction modeling tools

• Collaboration

• Conceptual modeling

• Family creation

• Sheet sets

• Visualisation and rendering

• MEP design using Revit

Structure Modeling using Revit

• Modeling Structural elements

• Reinforcement modeling

• Structural detailing

• Construction documents

• Bar bending schedule

• Overview of structural analysis

BIM Integration

• BIM 360 Overview

• Document management

• Model coordination

• Build, RFI workflow in BIM 360

• Engineering Drawing using AutoCAD

Career Opportunities:

• Structural Designer

• Project Manager

• Interior Designer

• BIM Engineer

• Architectural Drafter

Most Suitable For:

• Architects, Engineers, Project Managers.

• Ideal for transitioning to a Building Design & Analysis

• Industry professionals who wish to deepen understanding of Building Design & Analysis and applications.

Key Highlights :

Fundamentals of Building Design

• Architectural design principles

• Site analysis

• Building typologies

• Environmental considerations in design

Estimation and Costing

• Material quantities estimation

• Labor costs assessment

• Cost estimation software

Engineering Drawing using AutoCAD

• Basic profiles

• Layer management

• Blocks and References

• Layouts and Printing

• Collaboration and Data Exchange

• 3D modelling

• AutoLISP

BIM Design using Revit

• Modelling BIM elements

• Construction modeling tools

• Collaboration

• Conceptual modeling

• Family creation

• Sheet sets

• Visualisation and rendering

Structure Modeling using STAAD Pro and ETABS

• Modeling Structural elements

• Reinforcement modeling

• Structural detailing

• Construction documents

• Bar bending schedule

Microsoft Project (MSP)

• Project scheduling

• Resource allocation

• Task dependencies

• Stakeholder Engagement Methods

Project Planning and Management (PPM) Concepts

• Project lifecycle phases

• Project management methodologies

• Scope management and risk

• assessment

ETABS Structural Analysis Overview:

• Static Analysis

• Dynamic Analysis (Response Spectrum and Time History)

• Pushover Analysis

• Concrete Design

• Steel Connection Design

• Shear Wall Design

Career Opportunities:

• CFD Analyst

• Automotive Design Engineer

• CAM Programmer

• Vehicle Dynamics Analyst

• Aerodynamics Engineer

Most Suitable For:

• Those interested in a career in automotive design and engineering.

• Industry professionals looking to broaden expertise in automotive analysis and manufacturing.

• Mechanical engineers and car designers seeking specialized skills in automotive design.

Key Highlights:

Automotive Design Concepts

• Automotive Design Fundamentals

• Aesthetic vs. Functional Design

• Ergonomics, User Experience

• Sustainability in Auto Design

Engineering Drawing using AutoCAD

• Automotive Profiles, Drafting Basics

• Precision Drawing, Geometric

• Dimensioning

• Assembly Drawings, Part Lists

• Electrical Schematics Integration

• AutoLISP Customization for Design

3D Modeling with CATIA

• Introduction to CATIA for Automotive Design

• Surface Modeling Techniques for Car Bodies

• Assembly Design and Management

• Real-Time Rendering and Visualization

• Collaboration Tools for Design Review

Advanced Surface Modeling using NX CAD

• Fundamentals of NX CAD in Car Design

• Complex Surface Generation for High- Performance Vehicles

• NX for Electric Vehicle (EV) Design Challenges

• Simulation and Analysis for Design Validation

• Introto NX CAM for Manufacturing

Parametric Modeling with Creo Parametric

• Creo Basics in Automotive Applications

• Parametric & Direct Modeling Strategies

• Advanced Assembly Modeling

• Creo Simulate: Structural & Thermal Analysis

• Conceptual Design, Rapid Prototyping

Simulation and Analysis with ANSYS Workbench

• Introduction to Simulation in Car Design

• Structural Analysis for Safety and Durability

• Fluid Dynamics Analysis with ANSYS Fluent for Aerodynamic Optimization

• Thermal Analysis for Vehicle Comfort

Vehicle Aerodynamics with CFD Concept

• Fluid Dynamics Fundamentals in Automotive Design

• CFD for Drag Reduction, Fuel Efficiency

• Wind Tunnel Simulation Techniques

• Aerodynamic Performance Optimization

• CFD Integration with Design Tools

CAM and Manufacturing with Mastercam and NX CAM

• CAM Overview in Auto Manufacturing

• Mastercam for CNC Programming

• NX CAM for High-Speed Machining

• Toolpath Simulation and Verification

• Strategies for Composite and Additive Manufacturing

Career Opportunities:

• Business Analyst

• Data Scientist / Data Analyst

• Data Engineer

• Machine Learning Engineer

• Analytics Consultant

• Business Intelligence Developer

Most Suitable For:

• Career pivoting professionals, business experts, and IT developers.

• Business professionals leveraging data for decisionmaking. enhancing their strategic approaches.

• Students and recent graduates aspiring to break into the data science field, gaining practical skills

Key Highlights:

Python Programming for Data Science

• Python Fundamentals: Syntax, Data Types, Control Flow

• Pandas for Data Manipulation and Analysis

• Data Visualization: Matplotlib and Seaborn

• Intro to Web Scraping and Data Gathering

Data Science using Python

• Exploratory Data Analysis (EDA) techniques

• Working with large datasets and cleaning data

• Statistical analysis and hypothesis testing

• Machine learning models with scikitlearn

Advanced Machine Learning

• Supervised and unsupervised learning models

• Deep learning fundamentals with TensorFlow and Keras

• Model evaluation and fine-tuning techniques

• Implementing machine learning pipelines

SQL for Data Management

• Database fundamentals and SQL syntax

• Querying databases for data retrieval

• Joining, filtering, and aggregating data

• SQL for data science: Working with large data sets

Power BI for Data Visualization and Business Intelligence

• Creating dynamic dashboards and reports

• Data modelling and DAX basics

• Power BI service for sharing insights within organizations

• Integrating Power BI with Python for advanced analytics

Integrating SQL and Python for Analytics

• Automating data extraction and transformation processes

• Building data pipelines for analytics and machine learning

• Real-time data analysis and reporting

Project Management and Collaboration

• Agile methodologies for data science projects

• Version control with Git and GitHub for collaborative development

• Best practices for documenting and presenting findings

Career Opportunities:

• EV Design Engineer

• Battery Systems Engineer

• MEP Consultant

• Electric Drive train Specialist

• EV Systems Analyst

• EV Product Development Engineer

Most Suitable For:

• Automotive engineers shifting to electric vehicle design and development.

• Mechanical and electrical engineers interested in the EV industry.

• Professionals and students seeking to contribute to sustainable automotive solutions.

Key Highlights:

EV Design Fundamentals

• Overview of electric vehicle systems and components

• Principles of EV architecture and modular design

• Trends and innovations in EV technology

Engineering Drawing using AutoCAD

• Schematic design for electrical systems in EVs

• Layout planning for battery packs and drivetrain components

• Utilizing AutoCAD for precise component placement and space optimization

• Effective layer management for MEP design

• Advanced blocks and referencing for complex systems

MATLAB for EV System Analysis

• Simulation and modeling of electric drivetrains

• Battery performance analysis and optimization

• Data analysis for vehicle dynamics and energy consumption

Battery Design Concepts

• Fundamentals of battery chemistry and configuration for EVs

• Designing battery management systems (BMS) for efficiency and safety

• Thermal management strategies for

Aerodynamic Analysis using Ansys Fluent

• Simulation of airflow around vehicle bodies

• Optimization of vehicle shape for reduced drag and improved efficiency

• Thermal analysis of battery packs and electric motors

Mechanical Component Design using SolidWorks

• Design and prototyping of mechanical components for EVs

• Assembly design for integration of electric drivetrain components

• Stress and strain analysis for structural components

Vehicle Body Design using CATIA

• Conceptualization and design of EV exteriors and interiors

• Surface modeling for aerodynamic vehicle bodies

• Integration of electrical components into vehicle chassis

Drivetrain Design using NX CAD

• Detailed design of electric motors and transmission systems

• Utilization of NX CAD for complex assembly modeling

• Simulation of drivetrain performance under various operating conditions

Career Opportunities:

• PCB Designer

• Electrical Design Engineer

• Embedded Systems Engineer

• Automotive Systems Engineer

• Firmware Developer

• IoT Solutions Architect

• Electronic Design Automation Engineer

Most Suitable For:

• Professionals aiming for expertise in electronic design and automation, PCB design and embedded systems.

• Technicians and technologists looking to upgrade their capabilities in modern electronic design tools.

• Engineering graduates interested in electronic product development and automotive electronics careers.

Key Highlights

PCB Designing Using OrCAD

• Introduction to the fundamentals of PCB design

• Navigating the OrCAD interface for schematic capture

• PCB layout design and routing techniques

• Signal integrity analysis and optimization

• Generating and managing design documentation

Engineering Drawing using AutoCAD Electrical

• Basics of electrical design and drafting

• Creating and managing electrical schematics

• Implementing electrical standards and symbols

• Automating electrical design tasks and reporting

• Collaboration and data exchange with multidisciplinary teams

Automotive Embedded Systems

• Overview of embedded systems in automotive applications

• Designing and programming microcontrollers for vehicle systems

• Integration of sensors and actuators in automotive designs

• Real-time operating systems (RTOS) for automotive applications

• Safety and reliability considerations in automotive embedded systems

MATLAB Electrical for Advanced Simulations

• MATLAB basics for electrical engineers

• Simulating electrical circuits and systems with Simulink

• Data analysis and visualization for electrical systems

• Developing custom MATLAB scripts and functions for specialized electrical analysis

• Power systems analysis and electric vehicle simulations

Microcontroller Programming and Applications

• MATLAB basics for electrical engineers

• Simulating electrical circuits and systems with Simulink

• Data analysis and visualization for electrical systems

• Developing custom MATLAB scripts and functions for specialized electrical analysis

• Power systems analysis and electric vehicle simulations

Integration of EDA Tools in Project Development

• Workflow optimization through integration of EDA tools

• Managing complex electronic design projects

• Quality assurance and testing methodologies for electronic designs

• Prototyping and rapid iteration with EDA tools

• Introduction to version control systems for electronic design projects

Career Opportunities:

• Firmware Developer

• Automotive Systems Developer

• Embedded Systems Engineer

• Control Systems Engineer

• IoT Solutions Architect

• Systems Integration Engineer

• Electronic Design Automation Engineer

Most Suitable For:

• Professionals and engineers aiming to improve skills in embedded systems and control engineering.

• Automotive embedded systems and IoT development enthusiasts, electronics students and professionals.

• Technicians, and individuals looking to advance skills in microcontroller programming and control systems.

Key Highlights:

Microcontroller Fundamentals

• Introduction to microcontrollers and their architecture

• Programming languages for microcontrollers: C, C++, and assembly

• GPIO (General Purpose Input Output) basics and interfacing with external devices

• Analog and digital sensor integration

• Timers, interrupts, and event-driven programming

Advanced Microcontroller Techniques

• Basics of electrical design and drafting

• Creating and managing electrical schematics

• Implementing electrical standards and symbols

• Automating electrical design tasks and reporting

• Collaboration and data exchange with

Automotive Embedded Systems

• Overview of embedded systems in modern vehicles

• Design and development of automotive control systems

• CAN bus and automotive networking protocols

• Integration of embedded systems for vehicle diagnostics and telematics

• Safety standards and regulations in automotive embedded systems

MATLAB Electronics Applications

• Utilizing MATLAB for simulation and modeling of electronic circuits

• Design and analysis of filters, amplifiers, and power converters

• Implementing digital signal processing (DSP) algorithms in MATLAB

• Generating code from MATLAB for microcontroller deployment

MATLAB Electrical for Control Systems

• Fundamentals of control system design with MATLAB and Simulink

• Modeling and simulation of dynamic systems

• PID (Proportional, Integral, Derivative) control tuning and implementation

• Advanced control strategies: fuzzy logic, model predictive control

• Analyzing system stability and performance metrics

Integration of EDA Tools in Project Development

• Principles of IoT and its intersection with embedded systems

• Designing IoT-enabled devices with microcontrollers

• Communication protocols for IoT: MQTT, CoAP, and WebSockets

• Cloud integration and data analytics with MATLAB

• Security considerations for embedded IoT devices

Career Opportunities:

• Design Engineer

• CAD Engineer

• Product Designer

• Mechanical Drafter

Most Suitable For:

• Engineering students & graduates in Mechanical, Aerospace, or Automotive fields.

• Professionals looking to upskill in CAD and product design.

• Individuals aiming for careers in mechanical design & modeling.

• Those interested in 3D modeling and simulation software.

Key Highlights:

AutoCAD for Mechanical Engineers

• 2D drafting and annotation tools

• Parametric drawing techniques

• Mechanical component design

• Layer management and dimensioning

• Blocks, templates, and plotting

• File management and data exchange

Creo Parametric

• Parametric and direct modeling

• Sketching and 3D part modeling

• Assembly modeling techniques

• Sheet metal and surface modeling

• Mechanism design and simulation

• Drawing and detailing automation

CATIA

• 3D part and surface modeling

• Assembly design and kinematics

• Sheet metal and weld design

• Generative shape design techniques

• Drafting and detailing essentials

• Finite Element Analysis (FEA) basics

Career Opportunities:

• Design Engineer

• CAD Specialist

• Simulation Analyst

• Mechanical Engineer

Most Suitable For:

• Individuals aiming to work in mechanical and product design roles.

• Aspiring engineers looking to master advanced CAD and simulation software.

• Professionals seeking in-depth knowledge of mechanical design, analysis, and simulation tools.

• Engineers interested in developing proficiency in industry-standard software used for product development.

Key Highlights:

AutoCAD for Mechanical Engineers

• 2D and 3D design creation and editing

• Understanding drafting and modeling techniques

• Creating mechanical assemblies and detailed drawings

• Customizing AutoCAD for mechanical design

• Generating and interpreting technical drawings

• Working with blocks, layers, and annotations

Creo Parametric

• 3D parametric modeling fundamentals

• Creating part models, assemblies, and drawings

• Advanced surfacing techniques

• Parametric feature-based design workflows

• Creating detailed engineering drawings

• Simulating and analyzing designs

ANSYS Workbench

• Structural analysis of mechanical components

• Conducting thermal and fluid dynamics simulations

• Mesh generation and refinement

• Analyzing stress, strain, and deformation

• Setting up boundary conditions and load cases

• Visualizing and interpreting simulation results

Career Opportunities:

• Automation Engineer

• Control Systems Engineer 

• PLC Programmer

• Embedded Systems Developer 

• SCADA Specialist

• Electrical Design Engineer 

• Industrial Automation Consultant

Most Suitable For:

• Electrical, electronics, and mechanical engineering graduates aiming for automation specialization.

• ITI and vocational training graduates looking to upgrade their skills for better career opportunities

• Manufacturing and process industry professionals seeking to advance in modern automation technologies

Key Highlights:

PLC & SCADA Systems

• Fundamentals of PLCs: Architecture, programming languages, and applications

• Introduction to SCADA systems: Components, functionality, and realtime control

• Developing PLC programs for automation and process control

• Configuring SCADA systems for monitoring and controlling industrial processes

Microcontroller Applications

• Understanding microcontrollers: Architecture and programming

• Interfacing sensors and actuators with microcontrollers for data collection and machine control

• Real-world applications of microcontrollers in automation

AutoCAD Electrical for Design

• Basics of electrical design with AutoCAD Electrical

• Creating electrical schematics and panel layouts

• Implementing electrical standards and symbols for industrial projects

• Collaboration and documentation for electrical projects

MATLAB Electrical for Simulation and Analysis

• Utilizing MATLAB for electrical system analysis and design

• Simulation of control systems and signal processing with MATLAB

• Integrating MATLAB with microcontrollers for testing and development

Automotive Embedded Systems

• Introduction to embedded systems in the automotive industry

• Design and development of automotive control systems

• Implementing real-time operating systems (RTOS) in automotive applications

• Diagnostics and CAN bus communication

Career Opportunities:

• Interior Decorator

• Architect

• Furniture Designer

• Interior Designer

• Colour Consultant

• Design Consultant

Most Suitable For:

• Architects, engineers, and project managers seeking to enhance their expertise.

• Professionals in the industry aiming to broaden their knowledge of BIM principles & practical applications.

• Individuals looking to transition into careers related to BIM, finding it particularly suitable for this purpose.

Key Highlights:

Fundamentals of Interior Design

• Perspective Views

• Design Elements

• Space Organization

• Essentials of Vaastu

Construction Materials

• Varieties of Materials and Applications

• Types of Masonry and Applications

• Types of Finishes and Applications

3D Modeling with 3ds Max

• Shapes and Geometric Forms

• Modifiers

• Modeling Interior, Exterior, and

• Mechanical Elements

• Material Application

• Lighting, Camera Setup, and

• Rendering

Visualization with Vray

• V-Ray Image Sampling

• V-Ray Lighting Techniques

• Global Illumination for Interior and

• Exterior Scenes

• V-Ray Physical Camera Settings

• V-Ray Materials Application

• V-Ray Aerial Perspective

• V-Ray Displacement Techniques

• File Organization

• Visualization with Vray

Engineering Drawing using AutoCAD

• Basic Profiles

• Management of Layers

• Blocks and References

• Layouts and Printing

• Collaboration and Data Sharing

• 3D Modeling

Building Systems

• Plumbing

• Electrical Work

• Lighting Design

Modeling with Sketchup

• Drawing Tools

• Annotative Modeling

• Groups & Components

• Sandbox and Solid Tools

• Architecture & Interior Design Applications

• Plugins

• Advanced Modeling in SketchUp

• Converting 3D Models to 2D

Photoshop

• Creating and Customizing Canvases

• Workspace Configuration

• Importing, Exporting, and Saving Files

• Drawing and Editing Tools

• Layer Management

• Image Manipulation and Color

• Adjustment

Career Opportunities:

• Network Engineer

• Cybersecurity Analyst

• System Administrator

• Cloud Solutions Architect

• Ethical Hacker

• IT Infrastructure Manager

• Network Security Engineer

Most Suitable For:

• Students and recent graduates interested in building acareer in network engineering and IT infrastructure.

• Individuals aiming to gain foundational & advancedknowledge in networking, and cybersecurity.

• Aspiring professionals looking to acquire skills inethical hacking, cloud computing, & network security.

Key Highlights:

Fundamentals of networking concepts and architectures

• Fundamentals of networking concepts and architectures

• Routing protocols, LAN switching technologies, and WAN technologies

• Configuration and troubleshooting of routers and switches

Network Security

• Principles of network security and cybersecurity threats

• Firewall configuration and intrusion detection systems

• VPN technologies and security protocols

• Best practices for securing network infrastructure

Ethical Hacking

• Introduction to ethical hacking and penetration testing

• Reconnaissance techniques and system hacking methodologies

• Web application and network vulnerabilities assessment

• Countermeasures to prevent hacking attacks

Linux System Administration

• Linux fundamentals and command line interface (CLI)

• System installation, configuration, and package management

• Network services and security in Linux

• Shell scripting and automation of administrative tasks

Cloud Computing

• Overview of cloud computing models: IaaS, PaaS, SaaS

• Cloud service providers: AWS, Azure, Google Cloud

• Cloud security, migration, and management strategies

• Virtualization technologies and cloud storage solutions

Career Opportunities:

• Java Developer

• Software Engineer

• Systems Analyst

• Database Administrator

• Web Application Developer

Most Suitable For:

• Computer Science students and graduates seeking to build a strong foundation in Java programming.

• Professionals transitioning to Java development roles or looking to enhance their Java skills.

• Individuals interested in pursuing a career in software & Web development, or database management.

Key Highlights:

Core Java Fundamentals

• Mastering the foundational concepts of Java programming.

• Introduction to Java programming language

• Variables, data types, and operators

• Control flow statements: if-else, loops, switch-case

• Object-oriented programming principles: classes, objects, inheritance, polymorphism, encapsulation, abstraction

• Exception handling

• Input-output operations: file handling, streams

• Collections framework: lists, sets, maps

Advanced Java Programming

• Delving deeper into advanced Java concepts and frameworks.

• JDBC (Java Database Connectivity): connecting Java applications with databases

• Servlets: developing web applications using Java Servlet technology

• JSP (JavaServer Pages): building dynamic web pages with Java

• JavaBeans: creating reusable components for Java applications

• Session management and authentication in web applications

• MVC (Model-View-Controller) architecture for web development

• Introduction to frameworks like Spring and Hibernate

SQL (Structured Query Language) Basics

• Understanding the fundamentals of SQL for database management.

• Introduction to relational databases

• Basic SQL commands: SELECT, INSERT, UPDATE, DELETE

• Retrieving and manipulating data from databases

• Filtering, sorting, and aggregating data

• Joins and subqueries for data retrieval

• Creating and modifying database schema: tables, indexes, constraints

Career Opportunities:

• MEP Engineer

• MEP Designer

• MEP Consultant

• HVAC Engineer

• MEP Coordinator

• Electrical Design Engineer

Most Suitable For:

• Mechanical, Electrical, and Plumbing professionals looking to enhance their design and analysis skills.

• Professionals aiming for expertise in sustainable MEP design, green Building practices & Construction.

• Graduates seeking to enter the MEP design and consulting field with a comprehensive skill set.

Key Highlights:

MEP Concepts

• Fundamentals of MEP systems

• Introduction to MEP in the context of sustainable building design

• Understanding MEP system integration in building design

Engineering Drawing using AutoCAD

• Drafting MEP layouts

• Schematic representations of mechanical, electrical, and plumbing systems

• Effective layer management for MEP design

• Advanced blocks and referencing for complex systems

MEP Modeling using Revit MEP

• Detailed modeling of HVAC, electrical, and plumbing systems

• Utilizing Revit for MEP coordination and clash detection

• MEP family creation: Custom components for systems design

• Simulation and analysis of MEP systems for performance optimization

SolidWorks for MEP Fabrication

• Designing MEP components with precision

• Sheet metal fabrication for ductwork and piping

• Assembly modeling for mechanical systems

System Analysis using Ansys Workbench

• Thermal analysis for HVAC system optimization

• Electrical system performance under varied load conditions

• Fluid dynamics analysis for plumbing design

Electrical Design using Electrical CAD

• Electrical system design and layout planning

• Circuit design and electrical load calculations

• Lighting design and analysis

Product Design for MEP Components using Creo

• Parametric modeling of custom MEP components

• Prototype development and testing

MEP System Optimization and Sustainability

• Incorporating sustainable design principles in MEP systems

• Energy efficiency analysis and green building compliance

Career Opportunities:

• Design Engineer

• CAD Specialist

• Product Designer

• Mechanical Engineer

• Systems Engineer

• CAD Designer

Most Suitable For:

• Professionals aiming for advanced skills in CAD.

• Engineers interested in precision engineering and design.

• Individuals seeking to enhance design software proficiency.

• Ideal for those aspiring to work with top-tier CAD tools.

Key Highlights:

CATIA

• Creating 3D models for design visualization.

• Assembly design with parametric features.

• Sheet metal and surface design tools.

• Simulation for product design validation.

• Generative shape design for complex shapes.

• Kinematics and mechanism simulation.

Creo Parametric

• Parametric modeling for product design.

• Generating assemblies and advanced assemblies.

• Sheet metal design and analysis tools.

• 3D CAD modeling for product development.

• Advanced part and assembly modeling.

• Mechanism and motion simulation.

NX CAD

• 3D modeling for engineering design.

• Parametric and direct modeling techniques.

• Assembly design for product structures.

• Sheet metal design with advanced features.

• Synchronous technology for fast design changes.

• Simulation tools for engineering analysis.

Career Opportunities:

• Design Engineer

• Senior Design Engineer

• Industrial Designer

• Junior Mechanical Engineer

• Junior Mechanical Design Engineer

Most Suitable For:

• Students and professionals in engineering or related fields.

• Ideal for professionals with an interest in transitioning into product design.

• Specifically suitable for mechanical engineers, electrical engineers, and industrial design engineers.

Key Highlights:

Fundamentals of Engineering Drawing

• Introduction to Engineering Drawings

• Types of Views

• Understanding Angle of Projections

Principles of GD&T

• Exploring GD&T Fundamentals

• Dimensional Tolerance Concepts

• Interpretation of GD&T Symbols and Specifications

Production Drawing Essentials

• Part Identification Techniques

• Symbolic Representation Methods

Bill of Materials (BOM) Creation

• Material Engineering Basics

• Classification of Materials

• Understanding Material Properties

• Guidelines for Material Selection

Engineering Drawing using AutoCAD

• Working with Basic Profiles

• Efficient Layer Management

• Utilizing Blocks and References

• Layout Design and Printing Techniques

• Collaboration and Data Exchange Methods

3D Modeling using SolidWorks

• Profile Creation

• Solid Modeling Techniques

• Assembly Design Principles

• Sheet Metal Modeling

• Surface Modeling

• Weldment Concepts

• Drafting Essentials

3D Modeling using CATIA

• Profile Creation

• Solid Modeling Techniques

• Assembly Design Principles

• Sheet Metal Modeling

• Generative Shape Design

• Generative Drafting Techniques

Projects

• Schematic Drawing Layout Preparation

• Production-Ready Drawing for Industrial Component Modeling

• Design and Modeling of Wheel Rim

• Universal Joint Design

Career Opportunities:

• CAD/CAM Engineer

• Product Design Engineer

• Simulation Engineer

• Design Validation Engineer

• Product Development Manager

Most Suitable For:

• Mechanical Engineers and Product Designers seeking specialized skills in product design and analysis.

• Industry professionals aiming to expand their expertise in product development and manufacturing.

• Individuals interested in pursuing a career in the product design and engineering sector.

Key Highlights:

Product Design Concepts

• Introduction to Product Design Principles

• Fundamentals of Functional and Aesthetic Design

• Ergonomics and User-Centered Design Principles

• Trends in Sustainable Product Design

Engineering Drawing using AutoCAD

• Basic profiles and shapes

• Layer management and organization

• Blocks and References for standardized elements

• Layouts and Printing for technical documentation

• Collaboration tools for team-based design projects

3D Modeling with SolidWorks

• Advanced surface modeling techniques

• Parametric modeling for flexible design iterations

• Assembly design and management for product integration

• Realistic rendering and visualization for design presentation

Parametric Modeling with Creo

• Parametric and Direct Modeling Strategies

• Advanced Assembly Modeling for complex product structures

• Simulation and analysis integration for design validation

• Sheet metal design for manufacturing feasibility

CAD Design with CATIA

• Surface modeling techniques for ergonomic product design

• Assembly design and management for complex product structures

• Collaborative design tools for teambased projects

• Integration with simulation and analysis tools for design validation

NxCAD Overview

• Parametric modeling techniques for flexible design iterations

• Simulation and analysis integration for design validation

• Sheet metal design for manufacturing feasibility

AutoDesk Inventor Fundamentals

• Parametric modeling techniques for flexible design iterations

• Assembly design and management for complex product structures

• Simulation and analysis integration for design validation

GD&T (Geometric Dimensioning and Tolerancing)

• Fundamentals of GD&T

• Application of GD&T symbols and annotations in engineering drawings

• Tolerance analysis for manufacturing and assembly processes

Career Opportunities:

• Software Developer

• Full-Stack Developer

• Java Developer

• Python Developer

• Front-End Developer

• Database Administrator

• Back-End Developer

• Mobile App Developer

Most Suitable For:

• Aspiring college students seeking hands-on software development experience to jumpstart their careers

• Aspiring developers looking to master multiple languages and frameworks.

• Individuals aiming to build a versatile skill set across various aspects of software development.

Key Highlights:

Foundations of Programming with C & C++

• Programming concepts and algorithms in C

• Object-oriented fundamentals in C++

• Data structures and applications in C/C++

• Memory management and optimization techniques

Core Java Development

• Basics of Java and object-oriented programming principles

• Exception handling, multithreading, and file handling

• GUI development with Swing and AWT

• Java collections framework and stream API for data manipulation

Advanced Java Technologies

• Developing web applications with Servlets and JSP

• Introduction to frameworks: Spring and Hibernate

• RESTful web services with Spring Boot

• Microservices architecture and deployment

Python Programming for Versatility

• Python syntax and rapid development strategies

• Libraries for data manipulation (Pandas) and visualization (Matplotlib, Seaborn)

• Introduction to web development with Flask/Django

Database Management with SQL

• Database design and normalization concepts

• CRUD operations with SQL on popular RDBMS (MySQL, PostgreSQL)

• Advanced SQL queries and stored procedures

• Integrating SQL databases with software applications

Web Development with JavaScript

• JavaScript fundamentals and DOM manipulation

• ES6 features and asynchronous programming with Promises and async/await

• Front-end frameworks: React or Angular

• Node.js for back-end development and building REST APIs

Project-Based Learning and Collaboration

• Agile and Scrum methodologies for software development

• Version control with Git and GitHub, including branching and pull requests

• Real-world capstone projects that encompass full-stack development

• Peer programming and code review

Career Opportunities:

• Data Scientist

• Data Analyst

• Software Developer

• Machine Learning Engineer

Most Suitable For:

• Individuals aiming to enter data science roles

• Professionals looking to expand their programming skills

• Those interested in analytics and machine learning

• People wanting to work in data-driven industries

Key Highlights:

C++ Programming

• Understand the fundamentals of C++ programming.

• Learn object-oriented principles like classes and objects.

• Work with data structures such as arrays, linked lists, and stacks.

• Master algorithms for searching, sorting, and optimizing.

• Study memory management with pointers and dynamic allocation.

• Develop real-world applications using C++ features.

Python

• Gain proficiency in Python syntax and structure.

• Explore libraries such as NumPy, pandas, and matplotlib for data analysis.

• Learn functions, exception handling, and file I/O operations.

• Understand object-oriented concepts in Python.

• Implement Python scripts to automate tasks and solve problems.

• Work with Python libraries for web scraping and APIs.

Data Science using Python:

• Learn data wrangling techniques with pandas.

• Understand statistical methods for data analysis.

• Visualize data using Python libraries like matplotlib and seaborn.

• Study machine learning algorithms such as regression and classification.

• Explore data preprocessing techniques and feature engineering.

• Build data pipelines and model evaluation strategies.

• Implement data-driven decision-making processes in real-life scenarios.

Career Opportunities:

• Structural Engineer

• Architectural Drafter

• CAD Specialist Construction

• Project Manager

• Bridge Engineer

• Structural Consultant

• Structural Analysis Expert

Most Suitable For:

• Students and professionals in Civil engineering or related disciplines.

• Civil engineers, structural engineers, and those in the construction industry.

• Draftsmen and CAD professionals seeking to expand their knowledge and skills in structural design.

Key Highlights:

Structural manual calculations

• Structural concepts & fundamentals

• Manual calculation of structural elements

• Draft Structural reinforcements sketch

Structural detailing

• Guidelines and Standards for Detailing

• Referenced IS Code Books for Detailing

Engineering Drawing using AutoCAD

• Basic Profiles

• Managing Layers

• Utilizing Blocks and References

• Creating Layouts and Printing

• Collaboration and Data Exchange

• Implementing 3D Modeling

• Automation with AutoLISP

Estimation and Costing

• Concrete Mix Calculation

• Hand Calculation for Floor Plan Estimation

• Estimating Elements (Retaining Wall)

ETABS Structural Analysis Overview:

• Static Analysis

• Dynamic Analysis (Response Spectrum and Time History)

• Pushover Analysis

• Concrete Design

• Steel Connection Design

• Shear Wall Design

• Flat Slab Design

• Waffle Slab Design

STAAD Pro Structural Analysis and Design Features

• Static Analysis

• Dynamic Analysis

• Steel Design

• Water Tank Design

• Parametric Modeling

• Bridge Design

• P-Delta Analysis

• Buckling Analysis

• Foundation Design (Plant Foundation and Building Foundation)

Standards in Structural Drafting

• Drafting Standards

• Fundamental Concepts of Structural Analysis

• Calculation of Moments and Shear Forces

• Special Drawing Scheduling

• Elastic Theory

Career Opportunities:

• Civil Design Engineer

• Transportation Engineer

• Highway Engineer

• Project Manager in Transportation

• Traffic Engineer

• Structural Engineer for Transportation Projects

• Estimator and Cost Engineer for Infrastructure Projects

Most Suitable For:

• Civil and transportation engineering graduates seeking specialized transportation design skills.

• Professionals in civil engineering or urban planning transitioning to transportation engineering.

• Consultants and project managers enhancing expertise in transportation project design and management.

Key Highlights

Transportation Infrastructure Planning with AutoCAD

• Transportation design and planning fundamentals.

• Creating detailed road and highway designs with AutoCAD.

• Drawing and editing geometric elements of transportation infrastructure.

Advanced Roadway Design using Civil 3D

• Introduction to Civil 3D for transportation engineering

• Modeling roadways, intersections, and interchanges

• Corridor design, grading, and earthwork calculations

• Utilizing Civil 3D for drainage and utilities planning

OpenRoads for Dynamic Transportation Modeling

• OpenRoads essentials for roadway design.

• Interactive modeling of transportation projects.

• Traffic pattern simulation and analysis.

• Integrating OpenRoads with GIS for planning.

Structural Analysis and Design with ETABS

• Basics of structural analysis for transportation.

• ETABS for bridge and overpass design.

• Load analysis and structural optimization.

• Earthquake engineering for transportation resilience.

Foundation and Geotechnical Design using StaadPro

• Geotechnical aspects in transportation design.

• Foundation structure modeling with StaadPro.

• Retaining walls and slope stabilization design.

• StaadPro integration for BIM project management.

Project Scheduling and Management with MSP

• Principles of project management in transportation projects

• Creating and managing schedules with Microsoft Project (MSP)

• Resource allocation, budgeting, and cost control

• Risk management and mitigation

Estimation and Costing for Transportation Projects

• Fundamentals of cost estimation in transportation design

• Detailed quantity takeoffs and cost analysis

• Utilizing software tools for accurate and efficient costing

• Economic analysis and lifecycle costing of transportation

Career Opportunities:

• Software Developer

• Full-Stack Developer 

• ASP.NET Developer

• MEAN Stack Developer

• Front-End Developer

• Web Application Developer

• Back-End Developer

Most Suitable For:

• Young adults aspiring for web development careers, passionate beginners in modern web technologies.

• College students or recent graduates with a background in computer science or related fields

• Aspiring developers seeking to understand complete web development lifecycle, from design to deployment.

Key Highlights:

Introduction to Full Stack Development

• Understanding the full stack: Front-end, back-end, and databases

• Overview of MEAN (MongoDB, Express.js, Angular, Node.js) stack

• Introduction to ASP.NET for building web applications

Front-end Development with Angular

• TypeScript and Angular basics

• Creating interactive web UIs with Angular

• Angular routing, services, and HTTP client

• Designing responsive interfaces with Angular Material

Back-end Development with Node.js and Express.js

• Setting up a Node.js environment

• Building RESTful APIs with Express.js

• Implementing CRUD operations

• Middleware, routing, and handling

Database Management with MongoDB

• NoSQL database concepts with MongoDB

• Designing schemas with Mongoose

• Performing database operations (CRUD) in a MEAN stack application

• Data modeling and database design for web applications

Web Development with ASP.NET

• Introduction to ASP.NET Core and MVC architecture

• Building web applications with ASP.NET Razor Pages

• Entity Framework Core for database operations

• Implementing authentication and authorization

Integrating Front-end and Back-end

• Connecting Angular applications with Node.js/Express.js APIs

• Consuming ASP.NET web services in Angular applications

• Best practices for API development and integration

Full Stack Application Deployment

• Deploying MEAN stack applications on platforms like Heroku or AWS

• Deploying ASP.NET applications on IIS or Azure

• Continuous integration and continuous deployment (CI/CD) practices

MEP System Optimization and Sustainability

• Using Git for version control in full stack projects

• Collaborating on projects using GitHub or Bitbucket

• Agile methodologies and scrum for web development projects