Python for AI
Build Strong Foundations for Artificial Intelligence & Data-Driven Careers.
- Python is the backbone of modern Artificial Intelligence and Data Science, forming the foundation for AI-driven applications.
- Designed to help learners build strong programming fundamentals and confidently transition into AI, Machine Learning, and Data Analytics roles.
- Focuses on hands-on coding, real-world examples, and AI-oriented problem solving to ensure industry readiness from day one.
Core Python
Core Python programming concepts essential for AI
Clean Code
Writing clean, efficient, and reusable Python code
Data Handling
Data handling, manipulation, and analysis
AI Logic
Building logic for real-world AI and analytics use cases
ML Ready
Strong foundation for ML, Deep Learning, and GenAI tools
Machine Learning
From fundamentals to real-world model building.
- Designed to help learners move from foundational concepts to real-world Machine Learning model building through hands-on projects.
- Focuses on practical implementation and mathematical intuition for building effective ML solutions.
- Prepares learners for careers in AI, Data Science, and Analytics with industry-aligned use cases.
ML Workflow
End-to-end Machine Learning workflow
Data Preparation
Data preprocessing and feature engineering
Learning Techniques
Supervised & unsupervised learning techniques
Model Optimization
Model evaluation, tuning, and optimization
Real-world Use Cases
Real-world ML use cases across industries
Deep Learning
Build intelligent systems that learn like the human brain.
- Deep Learning powers advanced AI applications such as image recognition, speech processing, autonomous systems, and Generative AI.
- Learn through hands-on implementation using real-world datasets and industry-driven projects.
- Design, train, and optimize deep neural networks with confidence and practical understanding.
Neural Foundations
Fundamentals of neural networks and deep learning architectures
Model Training
Building and training deep learning models from scratch
Working with Data
Working with images, text, and sequential data
Optimization
Model optimization and performance tuning
Real-world Use
Practical exposure to real-world deep learning use cases
Generative AI
Create, automate, and innovate with next-generation AI.
- Generative AI is transforming how businesses create content, build intelligent products, and automate decision-making.
- Work with LLMs, AI copilots, and multimodal generation across text, image, audio, and video, it is at the core of the AI revolution.
- Gain production-ready skills with real-world GenAI use cases and production-ready AI application development.
GenAI Foundations
Understand the core concepts behind Generative AI and foundation models
LLMs
Work with Large Language Models (LLMs) for text-based intelligence
Prompt Engineering
Learn prompt engineering and AI reasoning techniques
GenAI Applications
Build real-world, production-ready Generative AI applications
Responsible AI
Ethical, safe, and responsible use of Generative AI
Agentic AI
Build autonomous AI systems that think, plan, and act.
- Agentic AI represents the next evolution of Artificial Intelligence—where AI systems don’t just respond, but reason, plan, and take actions autonomously to achieve defined goals.
- AI agents can interact with tools, APIs, databases, and other agents to solve complex multi-step problems.
- Learn to build production-ready AI agents that automate workflows and drive intelligent decisions in real world environments.
Agentic Foundations
Core concepts behind Agentic AI and autonomous systems
Goal-Driven Agents
Design AI agents that reason and act to achieve goals
Planning & Memory
Planning, memory, and reasoning frameworks for agents
Multi-Agent Systems
Collaboration and orchestration between AI agents
Agentic Automation
Production-ready agent-based automation applications