What you will learn?
Module 1: AI Foundations
Module 2: Python for AI Agents
Module 3: Prompt Engineering
Module 4: Intro to Agentic AI
Module 5: LangChain / Agent Frameworks
Module 6: Tool-Using Agents
Module 7: Multi-Agent Systems
Module 8: Memory & Context
Module 9: Deployment
Module 10: Final Industry Project
About this course
The Agentic AI Internship Program helps students build intelligent AI agents that can think, use tools, and automate real tasks. You’ll learn prompt engineering, Python integration, memory systems, and how to connect AI with APIs and real-world data.Through hands-on projects, you’ll create industry-style AI solutions — going beyond chatbots to design systems that reason and act. By the end, you’ll have a complete AI agent project and practical skills ready for modern tech careers.
Durations:-60 hours
Benefits of Participation:
- Career Boost: Leverage 20+ professional Resume Templates to land your dream job.
- Real-world Experience: Build your portfolio with two Capstone Projects worth INR 6000.
- Certificate of Completion: Showcase your new skills with an official internship certificate.
- Every student will be provided with a Professional project report.
FAQ
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1. What is AI, ML, LLM
2. How ChatGPT-like models work
3. Tokens, prompts, context
4. APIs & how AI connects to apps
5. Mini Task: Call OpenAI API and generate responses
1. Python basics required for AI
2. Working with APIs
3. JSON handling
4. Virtual environments
5. Using libraries (requests, dotenv)
1. Prompt structure
2. System vs User prompts
3. Few-shot prompting
4. Chain of Thought
5. Guardrails
1. What are AI Agents?
2. Agent vs Chatbot
3. Tools, Memory, Planning
4. ReAct framework (Reason + Act)
5. Agent loop
1. LangChain basics
2. Chains vs Agents
3. Tools integration
4. Memory
5. Vector DB intro (FAISS)
1. Web search tool
2. Calculator tool
3. File reader
4. API calling
5. Function calling
1. What is multi-agent collaboration
2. Role-based agents
3. Planner agent
4. Executor agent
1. Short-term vs Long-term memory
2. Vector databases
3. Storing user conversation
1. FastAPI / Flask
2. Streamlit UI
3. Hosting basics
4. API security
Choose one:
1. AI Career Assistant Agent
2. AI Research Agent
3. AI Coding Assistant Agent
4. AI Study Planner Agent
5. AI Customer Support Agent
Deliverables:
1. Working app
2. GitHub repo
3. Documentation
4. Demo presentation
