Duration: Three Months
Format: Hands-on Practice Sessions + Assignments + Capstone Project
This foundational course is designed to equip learners with the core principles, tools, and mindset needed to build and interact with agentic AI systems—intelligent agents capable of autonomous decision-making and goal-driven behavior. Through hands-on sessions, you would explore key concepts while gaining practical experience with cutting-edge frameworks and use cases. Whether you’re a developer, strategist, or curious innovator, this course offers a clear pathway to understanding how agentic AI is reshaping industries and unlocking new possibilities in automation, personalization, and human-AI collaboration.
Course Curriculum
- Foundations of Agentic AI and Python
- Introduction to Agentic AI
- Applications of Agentic AI
- Python Programming Essentials
- Setting up local Python environment
- Prompt Engineering
- Parts of Prompt
- Prompting for Content Generation and Editing
- Prompting for Data Interpretation and Analysis
- Examples of domain-specific prompts
- Building Agentic AI Applications
- Agentic AI Design Patterns
- Reflection Pattern
- Tool Use Pattern
- Evaluation and Error Analysis
- Working with LangChain and LCEL
- LangChain Architecture
- Data Ingestion and Document Loaders
- Langchain Expression Language (LCEL)
- Building and Deploying with LCEL
- Implementing Agentic RAG
- Agentic RAG Fundamentals
- Architecture and Components
- Applications of Agentic RAG
- Agentic RAG with Llamaindex
Ideal For: students and professionals aspiring to pursue career in AI field


