AI Agents Engineering Course – Live Training

Teacher

AI Agents Engineering Course – Live Training

(AI Agents Engineering, Prompt Engineering, LLM Frameworks, RAG, Multi-Agent Systems, MCP Integration & Production Deployment)

Master AI Agentic Engineering with this hands-on program designed to help you build intelligent AI agents and real-world automation applications. Learn Python fundamentals, APIs, Git, GitHub Copilot, prompt engineering, LLM foundations, and AI-assisted development while understanding how modern AI models like GPT, Claude, and Gemini work.

Build powerful AI solutions using LangChain, LangGraph, CrewAI, AutoGen, RAG, Vector Databases, MCP, and Multi-Agent Systems through real-time projects like Resume Screener, News Aggregator, Document QA Agent, Audio Translator, and Automation Agents.

You will also gain expertise in AI safety, prompt security, hallucination control, FastAPI, Docker, and cloud deployment using platforms like Railway, Render, and AWS Lambda. By the end of this course, you will confidently design, build, secure, and deploy production-ready AI applications for real-world business use cases.

About the Instructor:

Yesh is an experienced AI and Automation professional with over 10 years of IT industry experience, having worked on enterprise-level projects across product-based and global technology environments. Over the years, he has specialized in AI-powered engineering, intelligent workflow automation, and Agentic AI solutions, helping professionals adopt next-generation AI technologies in real-time enterprise environments. His strong industry exposure and practical implementation approach make his sessions highly hands-on, industry-oriented, and aligned with current market demands.

Yesh currently delivers advanced live training programs on AI Agent Bootcamp: Master N8N and Workflow Automation, The Agentic Developer Course: Master AI-Assisted Full-Stack Engineering, ISTQB Certified AI Tester – Advanced QA with AI & ML, and AI Agents Engineering Course – Live Training. His core training areas include AI agents, workflow orchestration using n8n, LLM integrations, prompt engineering, AI-assisted development, intelligent automation, AI-driven testing strategies, and real-time AI workflow implementation. He focuses heavily on practical use cases, live project scenarios, event-driven automations, and modern AI engineering concepts that help learners build production-ready AI solutions.

Teaching and mentoring have always been Yesh’s passion, and he has successfully trained and mentored more than 300+ professionals through live interactive sessions, workshops, and real-time project-based learning programs. Known for his practical teaching style and simplified explanation of complex AI concepts, he has helped many working professionals transition into AI-focused roles and modern engineering domains. Passionate about continuous learning and innovation, Yesh aims to empower learners with future-ready AI and automation skills required to succeed in rapidly evolving technology landscapes.

Live Sessions Price:

For LIVE sessions – Offer price after discount is 300 USD 189 USD or 25000 INR 15,000 Rupees

Enroll For Free Demo

Free Demo On:

Indian Timings: 15th June @ 9 PM – 10 PM (IST)/

U.S Timings: 15th June @ 11:30 AM – 12:30 PM (EST)/

U.K Timings: 15th June @ 4:30 PM – 5:30 PM (BST)

Class Schedule:

For participants in India: Monday to Friday @ 9 PM – 10 PM (IST)

For participants in US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)

For participants in UK : Monday to Friday @ 4:30 PM – 5:30 PM (BST)

Who can enroll for this course?

Software Developers
Python Programmers
Automation Test Engineers
DevOps Engineers
Cloud Engineers
AI/ML Enthusiasts
Data Engineers & Data Analysts
Full Stack Developers
Working IT Professionals
Fresh Graduates with Programming Knowledge
Students Interested in AI Development
Solution Architects & Product Engineers
Tech Professionals Looking to Upskill in AI
Anyone Interested in Building AI Agents & Automation Systems

What will I learn by the end of this course?

Master Python programming for AI development
Understand LLMs, Generative AI, and Agentic AI concepts
Build intelligent AI agents using LangChain, LangGraph, CrewAI, and AutoGen
Create advanced prompts using Prompt Engineering techniques
Develop memory-enabled conversational AI applications
Implement RAG-based knowledge systems
Work with Vector Databases like ChromaDB, Pinecone, and FAISS
Build multi-agent AI systems for real-world workflows
Integrate external tools using APIs and Model Context Protocol (MCP)
Develop real-time projects like Resume Screener, News Agent, and Document QA Agent
Secure AI applications with guardrails and prompt security techniques
Deploy AI agents using FastAPI, Docker, Railway, Render, and AWS
Build and launch production-ready AI automation solutions for business use cases

What Students Say about the trainer:

⭐ Aruna:

The trainer explained complex AI Agent concepts in a very simple and practical way. The live projects helped me gain real-time implementation skills.

⭐ Suresh:

One of the best AI courses I attended. The trainer’s industry knowledge and hands-on teaching style made learning easy and engaging.

⭐ Honey:

The practical projects like Resume Screener and Document QA Agent gave me valuable real-world exposure. Excellent mentoring throughout the course.

⭐ Wilson:

Excellent teaching style with real-time coding demonstrations. The trainer covered every concept in depth with patience. This course gave me confidence to build AI agents independently. Complex frameworks were explained step by step. Hands-on exercises improved my technical confidence.

Salient Features:

50 Hours of Live Training along with recorded videos
Lifetime access to the recorded videos
Course Completion Certificate

Course syllabus:

Module 1: Python & Dev Environment Bootcamp

Python essentials for AI: functions, loops, APIs, JSON, async/await
Setting up VS Code, GitHub Copilot, virtual environments, API keys
Git basics — committing, pushing, branching

Module 2: The AI Landscape & LLM Foundations

The story of AI → ML → Deep Learning → GenAI → Agentic AI
Why now?
How LLMs work — tokens, context windows, temperature, model families (GPT, Claude, Gemini)
Limitations of LLMs alone → why agents exist
Agent lifecycle — Perceive → Reason → Act → Observe
Agent types (ReAct, Plan & Execute)
Live demo + AI-Assisted Dev intro with GitHub Copilot

Module 3: Prompt Engineering Mastery

System prompt design — roles, constraints, personas
Chain-of-Thought (CoT) + Few-shot prompting
Tree-of-Thought (ToT) + Self-consistency
Structured outputs — JSON mode, output parsers, schema enforcement

Mini Project

AI-Assisted Full Stack App
- (GitHub Copilot builds a FastAPI backend + simple frontend around a prompt-engineered agent)

Module 4: Agent Frameworks — LangChain Core

LangChain architecture — chains, runnables, LCEL
Build your first agent — Chatbot App with memory
Tools & tool calling — search, calculator, custom tools
Memory types — ConversationBuffer, Summary, Entity

Mini Project

News Aggregator Agent
- (LangChain + News API + summarization)

Module 5: Advanced Frameworks — LangGraph, CrewAI, AutoGen

LangGraph — stateful graphs, nodes, edges, conditional routing
Stateful multi-step workflows with LangGraph
CrewAI — role-based agents, crews, task assignment
AutoGen — conversational multi-agent patterns
Comparison demo of all 3 frameworks

Project

Resume Screener
- (CrewAI: JD Parser Agent + Scorer Agent + Ranker Agent)

Module 6: Memory, RAG & Knowledge Systems

Memory architecture — short-term, long-term, episodic, semantic
Vector DBs — ChromaDB / Pinecone / FAISS
Embeddings explained visually
RAG fundamentals — chunk, embed, store, retrieve, generate
Advanced retrieval — re-ranking, hybrid search, query rewriting

Project

Document QA Agent
- (Upload a PDF, ask anything)

Module 7: Multi-Agent Systems & Real Projects

Multi-agent patterns — supervisor, peer, pipeline, blackboard
Agent communication protocols + shared memory
Task delegation, role specialization

Projects

Audio AI Agent & Translator
- (Whisper → LLM → TTS, multilingual)

Module 8: Tools, APIs & MCP

Tool usage patterns — when to call, how to design tools
Function calling deep dive — OpenAI, Claude (Anthropic), structured tool responses
API integration — Claude, OpenAI, Poe comparison
When to use what
MCP (Model Context Protocol) — what it is, why it matters, hands-on

Project

Automation Agent using MCP + external APIs

Module 9: Safety, Guardrails & Deployment

Prompt injection attacks — types, demos, defenses
Hallucination — detection, mitigation, grounding strategies
Guardrails design — NeMo Guardrails, custom validators
FastAPI — wrap your agent as a REST API
Docker + Cloud Deployment (Railway / Render / AWS Lambda)

Deployment Project

Deploy your Resume Screener or News Agent live

How can I enroll for this course?

Enroll For Free Demo

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 189 USD or 25000 INR 15,000 Rupees

Sample Course Completion Certificate:

Your course completion certificate looks like this….

Important Note:

To maintain the quality of our training and ensure a smooth learning experience for all participants, we do not allow batch repetition or switching between courses.

To reiterate, moving from one course to another or shifting from one trainer to another (even if it is the same course) is not possible. Changing batches or trainers in any form is strictly not permitted.

We request all learners to attend the scheduled sessions regularly and make the most of their learning journey. Thank you for your understanding and continued support.

Course Features

Lectures 45
Quiz 0
Duration 50 hours
Skill level All levels
Language English
Students 398
Assessments Yes

9 Sections
45 Lessons
50 Hours

Expand all sectionsCollapse all sections

Module 1: Python & Dev Environment Bootcamp
3
Module 2: The AI Landscape & LLM Foundations
7
Module 3: Prompt Engineering Mastery
4
Module 4: Agent Frameworks — LangChain Core
5
Module 5: Advanced Frameworks — LangGraph, CrewAI, AutoGen
6
Module 6: Memory & Context Handling:
6
Module 7: Multi-Agent Systems & Real Projects
4
Module 8: Tools, APIs & MCP
6
Module 9: Safety, Guardrails & Deployment
4

yesh

Yesh is an experienced AI and Automation professional with over 10 years of IT industry experience, having worked on enterprise-level projects across product-based and global technology environments. Over the years, he has specialized in AI-powered engineering, intelligent workflow automation, and Agentic AI solutions, helping professionals adopt next-generation AI technologies in real-time enterprise environments. His strong industry exposure and practical implementation approach make his sessions highly hands-on, industry-oriented, and aligned with current market demands.

Yesh currently delivers advanced live training programs on AI Agent Bootcamp: Master N8N and Workflow Automation, The Agentic Developer Course: Master AI-Assisted Full-Stack Engineering, ISTQB Certified AI Tester – Advanced QA with AI & ML, and AI Agents Engineering Course – Live Training. His core training areas include AI agents, workflow orchestration using n8n, LLM integrations, prompt engineering, AI-assisted development, intelligent automation, AI-driven testing strategies, and real-time AI workflow implementation. He focuses heavily on practical use cases, live project scenarios, event-driven automations, and modern AI engineering concepts that help learners build production-ready AI solutions.