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 Engineer
• 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