#No 1 Software Development & AI Engineering Program
Build Modern Software Applications and Integrate Artificial Intelligence to Become an Industry Ready AI Software Engineer
The Most Complete Career-Focused Program For Students
- Complete Software Engineering With AI & ML Skills
- 100% Practical With Industry Projects
- Learn From The Industry Experts
- Integrated Internship
Training Module
Module 1 : Computer Fundamentals & Software Development Basics
- Introduction to Computer
- Hardware & Software Concepts
- Types of Software
- Programming Languages, Frameworks, Libraries & Tools
- Software Architecture Fundamentals
- MVC Architecture
- Introduction to Programming Languages
- High Level vs Low Level Languages
- Compiler, Interpreter & Assembler
- C, Java, Python & JavaScript Overview
- Software Development Life Cycle (SDLC)
- Agile & Scrum Fundamentals
Module 2 : Python Programming Language & Logic Building
- Python Introduction & Industry Applications
- Python Installation & Environment Setup
- Variables & Data Types
- Operators
- Conditional Statements
- Loops
- Strings
- Lists, Tuples, Sets & Dictionaries
- Functions
- Lambda Functions
- Modules & Packages
- File Handling
- Exception Handling
- OOP Concepts
- Python Best Practices
Module 3 : Data Structure & Algorithms
- Searching Algorithms
- Sorting Algorithms
- Arrays
- Stacks
- Queues
- Linked Lists
- Trees Basics
- Time & Space Complexity
- Problem Solving Techniques
Module 4 : Database Development
- DBMS & RDBMS
- Database Design
- MySQL Installation
- SQL Queries
- CRUD Operations
- Constraints
- Joins
- Subqueries
- Stored Procedures Basics
- Python MySQL Connectivity
Module 5 : Frontend Development
HTML5
- Document Structure
- Elements & Attributes
- Headings & Paragraphs
- Lists & Links
- Images & Tables
- Forms & Input Fields
- Semantic HTML5
CSS3
- Selectors
- Colors & Typography
- Box Model
- Flexbox
- Grid Layout
- Responsive Design
- Media Queries
JavaScript
- Variables & Data Types
- Operators
- Conditions
- Loops
- Functions
- Arrays & Objects
- DOM Manipulation
- Event Handling
- Form Validation
- Fetch API
- JSON
Module 6 : Version Control & Collaboration
- Git Fundamentals
- Repository Management
- Commit
- Push & Pull
- Branching
- Merge Conflicts
- GitHub Collaboration
- Open Source Workflow
Module 7 : Backend Development with Python
- Django Introduction
- Project Structure
- URL Routing
- Views
- Templates
- Models
- ORM
- Forms
- Authentication
- Sessions
- Admin Panel
- Middleware
- Security Best Practices
Module 8 : REST API Development
- API Fundamentals
- HTTP Methods
- JSON
- Django REST Framework
- CRUD APIs
- JWT Authentication
- API Security
- Postman Testing
- API Documentation
Module 9 : Python for Data Science
NumPy
- Arrays
- Indexing & Slicing
- Mathematical Operations
- Broadcasting
Pandas
- Series & DataFrames
- Data Import & Export
- Data Cleaning
- Missing Values
- Filtering & Sorting
- GroupBy Operations
Module 10 : Data Visualization
Matplotlib
- Line Charts
- Bar Charts
- Scatter Plots
- Histograms
Seaborn
- Heatmaps
- Distribution Plots
- Pair Plots
- Correlation Analysis
Module 11 : Mathematics for AI & ML
- Linear Algebra
- Vectors & Matrices
- Matrix Operations
- Eigenvalues & Eigenvectors
- Statistics
- Mean, Median, Mode
- Variance & Standard Deviation
- Correlation & Covariance
- Probability Fundamentals
- Conditional Probability
- Bayes Theorem
Module 12 : Machine Learning
- Machine Learning Fundamentals
- ML Workflow
- Data Preprocessing
- Feature Engineering
Supervised Learning
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- Support Vector Machines
Unsupervised Learning
- K-Means Clustering
- Hierarchical Clustering
- PCA
Model Evaluation
- Accuracy
- Precision
- Recall
- F1 Score
- Cross Validation
Module 13 : Deep Learning
- Neural Networks
- Activation Functions
- Forward Propagation
- Backpropagation
- TensorFlow
- Keras
- PyTorch
- Model Training
- Hyperparameter Tuning
Applications
- Image Classification
- Object Detection
- Pattern Recognition
Module 14 : Natural Language Processing (NLP)
- Text Processing
- Tokenization
- Stop Words
- Stemming
- Lemmatization
- Text Cleaning
- Bag of Words
- TF-IDF
- Sentiment Analysis
- Text Classification
- Chatbot Development
Module 15 : Generative AI & LLM Engineering
- Introduction to Generative AI
- Large Language Models (LLMs)
- GPT Models
- Gemini Models
- Claude Models
- Prompt Engineering
- Chain of Thought Prompting
- Prompt Optimization
AI Application Development
- OpenAI APIs
- Gemini APIs
- AI Chat Applications
- AI Automation
Advanced AI Engineering
- LangChain
- Vector Databases
- Embeddings
- RAG (Retrieval Augmented Generation)
- AI Agents
- Multi-Agent Systems
- AI Workflows
Module 16 : AI Assisted Software Development
- AI Coding Assistants
- AI Code Generation
- AI Debugging
- AI Documentation
- AI Productivity Tools
- AI in Software Engineering Lifecycle
Module 17 : Model Deployment & MLOps
- FastAPI
- REST APIs for ML Models
- Model Serialization
- Docker Basics
- Model Deployment
- Cloud Deployment
- Model Monitoring
- MLOps Fundamentals
Module 18 : DevOps & Cloud Fundamentals
- Linux Basics
- Shell Commands
- Hosting Concepts
- Domain & DNS
- Environment Variables
- CI/CD Introduction
- GitHub Actions
- AWS Fundamentals
- Application Deployment
Module 19 : Industry Standards & Software Engineering
- Requirement Analysis
- System Design Basics
- Project Planning
- Documentation
- Clean Code Principles
- Design Patterns Basics
- Code Review Practices
- Software Testing Fundamentals
Module 20 : Major Industry Projects
Full Stack Projects
- Student Management System
- E-Commerce Application
- Learning Management System
- Job Portal
AI & ML Projects
- Prediction Model Development
- Sentiment Analysis System
- Recommendation Engine
- Resume Screening System
Generative AI Projects
- AI Chatbot Application
- RAG-Based Knowledge Assistant
- AI Interview Assistant
Final Industry Capstone Project
- End-to-End Software + AI Product Development
Module 21 : Placement & Career Preparation
- Resume Building
- GitHub Portfolio Development
- LinkedIn Profile Optimization
- Aptitude Preparation
- DSA Interview Questions
- Python Interview Questions
- SQL Interview Questions
- Full Stack Interview Preparation
- AI & ML Interview Preparation
- Mock Interviews
- HR Interview Preparation
