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Generative AI and Agentic AI Master Program

Build Production-Ready AI Agents Using LangChain, LangGraph, CrewAI & MCP

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Attend Free AI Masterclass

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Course 1
Python for AI Engineers
Course 2
LLM Engineering & Prompt Design
Course 3
Agentic AI Engineering & Multi-Agent Systems
Course 4
Enterprise AI Platforms
Master's Certificate
*Distinct certificates awarded for each course.
Who Is This Program Designed For?
Who is this Course for
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AI / ML Engineers

Build production-ready agentic systems and orchestration pipelines.

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Software Developers

Transition into AI-native engineering and AI application development.

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Solution Architects

Design scalable enterprise AI ecosystems and multi-agent platforms

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Product Managers

Lead AI product strategy and intelligent workflow automation initiatives.

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Agile Coaches & Transformation Leaders

Drive AI-enabled Agile and enterprise transformation programs.

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Technical Founders & Innovators

Build AI-native products, copilots, and autonomous platforms.

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Cloud & DevOps Engineers

Deploy scalable AI workloads across AWS, Azure, and GCP.

Generative AI and Agentic AI Masters PROGRAM HIGHLIGHTS

Program Highlights

80 Hours of Live Instructor-led Sessions

50+ Hands-on Labs 

6 Enterprise Capstone Projects

Learn to use LangChain, LangGraph, CrewAI, MCP and more

Train on AWS, Azure, and GCP

Industry-Grade Multi-Agent Systems

Boost your AI career with the Generative AI & Agentic AI Master Program that is designed to help you move beyond basic AI experimentation and build real-world, production-ready AI systems. As enterprises rapidly adopt Agentic AI, multi-agent architectures, autonomous workflows, and enterprise AI automation, organizations are looking for professionals who can design, deploy, and scale intelligent AI solutions — not just write prompts. This 80-hour hands-on master program gives you the practical engineering skills needed to work with modern AI frameworks such as LangChain, LangGraph, CrewAI, MCP, and leading cloud AI platforms including AWS, Azure, and Google Cloud.

Throughout the program, you will work on industry-grade AI projects that simulate real enterprise AI environments. You will learn how to build autonomous AI agents, orchestrate multi-agent systems, implement RAG architectures, create AI APIs, deploy cloud-native AI workflows, and engineer scalable AI systems with observability, governance, and safety controls. With more than 50 hands-on labs and 6 enterprise capstone projects, you will gain practical exposure to AI orchestration, AI guardrails, prompt engineering, context engineering, AI deployment, and production-grade AI infrastructure used by modern enterprises.

Whether you are an engineer, architect, developer, product leader, transformation consultant, or cloud professional, this program equips you with the skills required for the next generation of AI roles. By the end of the course, you will be able to design enterprise AI ecosystems, deploy intelligent AI agents, build scalable multi-agent workflows, and contribute to enterprise AI transformation initiatives with confidence. The program is specifically built for professionals who want to transition into high-demand AI engineering and enterprise AI leadership roles while gaining hands-on experience with the tools, frameworks, and deployment patterns shaping the future of AI.

High Demand for AI Engineers

Why is the Demand for AI-Empowered Professionals Rising
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Min
Average
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Hiring Companies
CocaCola
Amazon
Sapient
HSBC
Walmart
Accenture
Demand
#1
Python is the #1 language for AI development

Why KnowledgeHut For Generative AI and Agentic AI Masters

The KnowledgeHut Advantage

Comprehensive Curriculum

Structured modules covering fundamental and advanced concepts of key concepts.

Immersive Learning

Learn, practice, gain insights and apply skills to drive change and unlock new possibilities.

Interactive Experience

Engage with peers and instructors through forums and discussion boards.

Practical Use Cases

Analyze and learn from real-world case studies and success stories.

Networking Opportunities

Connect with fellow course graduates and professionals in the field.

Learn from Experienced Trainers

Learn from industry leaders and get practical understanding based on real experience.
Tools, Frameworks & Enterprise Platforms You Will Work With

Generative AI and Agentic AI Masters

Generative AI and Agentic AI Masters Milestones
Course 1
Python for AI Engineers
Course Curriculum
Course 2
LLM Engineering & Prompt Design
Course Curriculum
Course 3
Agentic AI Engineering & Multi-Agent Systems
Course Curriculum
Course 4
Enterprise AI Platforms
Course Curriculum

Master's Program Certificate

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Generative AI and Agentic AI Masters Projects

Build Real AI Projects
Build Real Enterprise AI Systems and Not Toy Demos
AI-Ready Python Toolkit
AI-Ready Python Toolkit

AI-Ready Python Toolkit

Build async ingestion pipelines with FastAPI, Pydantic, PDF/DOCX parsing, and structured AI workflows.
Multi-Model Prompt Lab
Multi-Model Prompt Lab

Multi-Model Prompt Lab

Compare OpenAI, Gemini, and Claude outputs with prompt versioning and cost optimization.
Autonomous Research Analyst
Autonomous Research Analyst

Autonomous Research Analyst

Build a multi-agent AI system using LangGraph and CrewAI with Researcher, Writer, Critic, and Fact-checker agents
Enterprise MCP Toolkit
Enterprise MCP Toolkit

Enterprise MCP Toolkit

Deploy production MCP servers with web search, database queries, document retrieval, and code execution
Safe Agent Platform
Safe Agent Platform

Safe Agent Platform

Implement guardrails, RAGAS, drift detection, and human approval workflows
Cloud-Native Agent Suite
Cloud-Native Agent Suite

Cloud-Native Agent Suite

Deploy AI agents on AWS Bedrock AgentCore with multi-agent orchestration, RAG, observability, and CloudWatch integration

Generative AI and Agentic AI MASTER'S FAQs

1. What is Agentic AI?

Agentic AI refers to AI systems capable of autonomous reasoning, planning, decision-making, and task execution. Unlike traditional AI systems that only generate responses, Agentic AI systems can use tools, interact with APIs, maintain memory, orchestrate workflows, and collaborate with other AI agents to complete complex tasks.

2. What is the difference between Generative AI and Agentic AI?

Generative AI primarily focuses on generating content such as text, images, code, or summaries based on prompts. Agentic AI goes a step further by enabling AI systems to reason, plan, make decisions, use tools, and autonomously execute multi-step workflows and tasks.

3. Is this course suitable for working professionals?

Yes. The program is specifically designed for working professionals looking to build practical enterprise AI and Agentic AI skills alongside their current roles. The curriculum focuses on real-world implementation and production-oriented AI systems.

4. Do I need prior AI experience?

No prior AI experience is mandatory. Basic programming familiarity and Python fundamentals are recommended, but the program progressively builds learners’ understanding of Generative AI, Agentic AI, and enterprise AI systems.