Generative AI & Agentic AI Engineer Master Program: RAG, MCP, LangChain & AI Automation – Live Training
(Generative AI, LLMs, Prompt Engineering, AI Agents, Tool Calling, RAG, Embeddings, Vector Databases, MCP, LangChain, Python, n8n, API Integrations, Docker, Git/GitHub, Production Readiness & Deployment.)
Step into the future of software development with our Agentic AI Engineering Program. This hands-on training is designed to help professionals build intelligent AI agents, automate complex workflows, and develop real-world AI-powered applications using the latest Agentic AI frameworks and technologies. You’ll learn Python, Prompt Engineering, LLM Foundations, RAG (Retrieval-Augmented Generation), Vector Databases, Multi-Agent Systems, MCP Integration, and AI-powered development practices. The course provides practical experience with modern AI ecosystems including GPT, Claude, Gemini, LangChain, LangGraph, CrewAI, and AutoGen.
Through industry-focused projects, participants will learn how to design, build, deploy, and manage AI agents capable of reasoning, planning, memory management, tool usage, and autonomous decision-making. The program covers AI agent architectures, agent workflows, context management, knowledge retrieval, API integrations, and production deployment strategies to prepare learners for next-generation AI engineering roles.
Whether you are a Software Developer, QA Engineer, SDET, Automation Tester, DevOps Engineer, Cloud Professional, Business Analyst, or AI enthusiast, this course provides the skills needed to create enterprise-grade AI assistants, AI copilots, automation agents, and multi-agent applications that solve real business problems.
About the Instructor:
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Shashank Gupta Engineer. Innovator. Builder of AI-powered Quality Engineering Workflows. With over a decade of experience across QA, automation, and engineering strategy, Shashank has transformed quality from a mere “checkpoint” into a genuine competitive advantage. As an Engineering leader at a Fortune 500 financial services / IT company, he specialises in reimagining QA with AI, ML Ops, process automation, and intelligent test design — enabling teams to ship faster, smarter, and with confidence. Having delivered 30+ training programmes and personally mentored 200+ students — including QA engineers, developers, and tech leads across the industry — Shashank brings a rare blend of corporate depth and teaching clarity. His learners have gone on to build and deploy real AI-powered systems inside their organisations. His hands-on, problem-first approach means every session connects directly to things you’ll actually build at work. |
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 259 109 USD Or USD13000 INR 12900 INR 8900 Rupees
OR
Free Demo Session:
Indian Timings: 11th August @ 9 PM – 10 PM (IST)/
U.S Timings: 11th August @ 11:30 AM – 12:30 PM (EST)/
U.K Timings: 11th August @ 4:30 PM – 5:30 PM (BST)
Class Schedule:
For Participants in India: Every Tuesday / Thursday / Saturday @ 9 PM – 10 PM (IST)
For Participants in the US: Every Tuesday / Thursday / Saturday @ 11:30 AM – 12:30 PM (EST)
For Participants in the UK: Every Tuesday / Thursday / Saturday @ 4:30 PM – 5:30 PM (BST)
What Students Say about Shashank Gupta:
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👨 Arjun Mehta :The n8n module blew my mind — I built a fully automated lead nurturing workflow in day 3 without writing a single line of code. Then moving to Python and LangChain felt like a natural progression. Best AI course I’ve taken. 👩 Priya Sharma :I joined as a manual QA tester with zero AI background. The RAG module and vector DB section opened my eyes to what’s possible. The capstone project I built is now part of my portfolio and has helped me land a new role. 👨 Venkat Reddy :The MCP Protocol and multi-agent systems section was something I hadn’t found in any other course. The trainer clearly knows the industry — every module had real-world examples directly applicable to enterprise projects. 👩 Ananya Singh :Joined from the US batch — the timing worked perfectly. The Telegram RAG Assistant capstone was the best part. I deployed a fully working AI assistant for my team within a week of completing the course. 👨 Rohit Kulkarni :I’ve done 4 AI courses before this. None of them covered LangGraph or multi-agent orchestration with real code. This program actually builds your confidence — not just theory. The live Q&A sessions were incredibly valuable. |
Salient Features:
- 30 Hours of Live Training along with recorded videos
- 1 Year Access to Videos
- Course Completion Certificate
Who can enroll for this course?
- Software Engineers
- DevOps Engineers
- Platform Engineers
- Automation Engineers
- Data Professionals
- Cloud Engineers
- QA Engineers
- Technical Leads
- Solution Architects
- Business Analysts
- AI Enthusiasts
- Fresh Graduates
- Working Professionals Seeking AI Skills
What will I learn by the end of this course?
- Understanding Agentic AI & Autonomous Agents
- Prompt Engineering for AI Agents
- Building AI Workflows Using n8n
- Creating Intelligent AI Assistants
- Automating Business Processes with AI
- Working with OpenAI & Gemini APIs
- Building RAG (Retrieval-Augmented Generation) Applications
- Creating Knowledge-Based AI Chatbots
- Developing Telegram AI Assistants
- Agent Memory & Context Management
- Learning Python for AI Development
- Building AI Agents from Scratch
- Function Calling & Tool Integration
- Working with the LangChain Framework
- Building Multi-Agent Systems
- Understanding Model Context Protocol (MCP)
- Implementing AI Security & Guardrails
- Designing Production-Ready AI Solutions
- Real-World Business Automation Projects
- Building Portfolio-Ready Capstone Projects
- Deploying & Demonstrating AI Applications
- Best Practices for Enterprise AI Implementations
Course Syllabus:
Module 1: Foundations + Visual Automation (Sessions 1–10 • 10 hrs)
Session 1: Agentic AI Essentials
- Understand agents, workflows and autonomy
- Introduction to the ReAct loop
Session 2: LLM Fundamentals
- Tokens and context windows
- Hallucinations and model behaviour
Session 3: Prompt Engineering Foundations
- Zero-shot prompting
- Few-shot prompting
- Role prompting
- System prompting
Session 4: Advanced Prompting + ReAct
- Reasoning prompts
- Tool-use prompting
- Multi-step task execution
Session 5: First Live API Interaction
- API keys and authentication
- JSON fundamentals
- Get a model response through a practical lab
Session 6: n8n Foundations
- n8n nodes
- Triggers and credentials
- Visual automation workflows
Session 7: Build Your First n8n AI Agent
- Connect an LLM
- Define agent instructions
- Execute a live AI workflow
Session 8: Chatbot + Memory
- Build a conversational agent
- Session memory
- Context management
Session 9: Telegram AI Agent
- Connect an AI agent to Telegram
- Trigger automated workflows
- Build a real chat-based AI interaction
Session 10: APIs, JSON + HTTP Requests
- Call external services
- Authentication
- Structure and process JSON outputs
✓ Learning Approach: Beginner-first sequencing with live explanation, guided practice and recordings.
Module 2: Integrations + Capstone 1 + Python (Sessions 11–20 · 10 hrs)
Session 11: Gmail Integration
- Read Gmail messages
- Classify email intent
- Create controlled email drafts
Session 12: Google Sheets Integration
- Read structured data
- Update Google Sheets automatically
- Connect Sheets with workflows
Session 13: Capstone 1 – Personal AI Representative
- Build an n8n AI agent
- Add memory and tools
- Connect your personal information
Session 14: Capstone 1 – Integrate + Demo
- Integrate Telegram, Gmail or Google Sheets
- Execute the complete workflow
- Demonstrate the AI representative
Session 15: Python Setup + First Program
- Install Python environment
- Write your first Python program
- Move from visual automation to code
Session 16: Python Foundations I
- Variables and data types
- Conditions
- Loops
- Core problem-solving
Session 17: Python Foundations II
- Lists
- Dictionaries
- Functions
- Reusable program logic
Session 18: Files, APIs + Environment Variables
- Python packages
- File handling
- Working with APIs
- Environment variables and secrets
Session 19: LangChain Foundations
- Prompt templates
- Chat models
- Chains
- Structured outputs
Session 20: LCEL + Structured Chains
- Build composable chains
- Pass data between application steps
- Create reliable structured workflows
✓ Checkpoint: Capstone 1 delivers a working no-code or low-code Personal AI Representative.
Module 3: RAG + Agents + MCP + Production (Sessions 21–30 · 10 hrs)
Session 21: Embeddings + Semantic Search
- Convert text into vectors
- Understand embeddings
- Retrieve information based on meaning
Session 22: Vector Stores + RAG Foundations
- Chunking strategies
- Vector stores
- Retrieval
- Context-based generation
Session 23: RAG Implementation + Evaluation
- Build a RAG pipeline
- Test retrieval quality
- Evaluate answer quality and relevance
Session 24: LangChain Agents + Tools
- Create custom tools
- Bind tools to an LLM
- Understand agent execution
Session 25: Tool Calling + ReAct Agents
- Function/tool calling
- ReAct agent loops
- Controlled AI actions
Session 26: Advanced Agent Patterns
- Tool routing
- Structured output validation
- Error handling
- Robust agent workflows
Session 27: MCP Foundations + Integration
- Understand Model Context Protocol
- Connect AI clients to tools
- Connect AI systems to private context
Session 28: Capstone 2 – Autonomous Research Agent
- Build a coded AI research agent
- Search and retrieve information
- Reason over retrieved information
- Generate research reports
Session 29: Production, Security + Deployment
- Retries and reliability
- Guardrails
- Secret management
- Testing
- Deployment
Session 30: Demo Day + Portfolio Launch
- Present Capstone 1
- Present Capstone 2
- Demonstrate complete AI agent workflows
- Create a roadmap for your next AI project
✓ Checkpoint: Final outcome: two demonstrable AI systems, a certificate and a portfolio launch plan.
How can I enroll for this course?
OR
For any other details, Call me or Whatsapp me on +91-9133190573
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 259 109 USD Or USD13000 INR 12900 INR 8900 Rupees