What is the Gen AI & Agentic AI Development Training by MCAL Global?

MCAL Global's Gen AI & Agentic AI Development Training (2026 Edition) is a comprehensive, project-based program that teaches you to design and build intelligent, autonomous AI products using Generative AI and Agentic AI frameworks including LangChain, LangGraph, AutoGen, and CrewAI.

Who should attend the Generative AI and Agentic AI Development Training?

This training is ideal for software developers, data scientists, ML engineers, AI enthusiasts, IT professionals, and business analysts who want to build production-ready AI agents and autonomous AI systems using modern Generative AI frameworks.

What tools and frameworks are covered in MCAL Global's Agentic AI training?

The training covers Python, LangChain, LangGraph, AutoGen, CrewAI, Vector Databases (Pinecone, ChromaDB, FAISS), RAG (Retrieval-Augmented Generation), Prompt Engineering, OpenAI API, Multi-Agent Orchestration, and Model Context Protocol (MCP).

Is the MCAL Global Agentic AI training classroom-based or online?

MCAL Global offers the Gen AI & Agentic AI Development Training primarily in classroom and blended mode at their training center in Pune, Maharashtra, India. Contact MCAL Global for online batch availability.

What are the prerequisites for MCAL Global's Generative AI training?

Participants should have a basic understanding of Python programming. Familiarity with Machine Learning concepts and REST APIs is recommended but not mandatory. No prior AI experience is required.

Will I receive a certificate after completing the Agentic AI Development Training?

Yes, participants who successfully complete the Generative AI & Agentic AI Development Training at MCAL Global receive an industry-recognised certificate of completion, which can be showcased on LinkedIn and used for professional credentialing.

What is the difference between Generative AI and Agentic AI?

Generative AI refers to AI systems that generate text, images, code, and content. Agentic AI goes further — it enables AI to autonomously plan, reason, use external tools, and execute multi-step tasks without continuous human input. This training covers both paradigms, from foundation to deployment.

Does MCAL Global's training include hands-on projects?

Yes, MCAL Global's Generative AI & Agentic AI Development Training is fully project-based. Participants build real-world AI agent applications covering RAG chatbots, multi-agent pipelines, autonomous task systems, and deployed AI products using LangChain, AutoGen, and CrewAI.

Generative AI & Agentic AI Development Training

Unlock the power of Generative AI to revolutionize enterprise software with our engaging, hands-on
classroom and online course. Empower your career with future-ready skills by building fully functional, scalable Agentic AI Apps, one module at a time.

The Future is Agentic
Be the Architect.

“Generative AI & Agentic AI Development Training” is designed to transform Developers with Python skills into proficient creators of intelligent Enterprise grade Agentic AI Applications, that seamlessly automate complex business workflows. Through immersive projects and expert-led instruction, students gain deep practical experience with cutting-edge AI tools and architectures tailored for real-world impact.

Generative AI & Agentic AI Development Training Best Suited For

Developers with Python skills

IT, tech, and automation professionals seeking an upskill in Gen AI

Beginners wanting hands-on experience in agentic AI and language model orchestration

Why Generative AI & Agentic AI Development Training?

Career Advancement

Unlock emerging roles such as AI Agent Architect, specializing in designing and orchestrating intelligent multi-agent systems.

Real Project Experience

Every module adds real functionality to an enterprise-grade CoPilot agent

Guided Mentorship

Expert-led sessions, peer reviews, and code walkthroughs

Industry Tools

Python, LLMs (GPT, Claude, Gemini, LLaMA), LangChain, RAG (FAISS, Pinecone, Chroma), Hugging Face, Streamlit, FastAPI, vector stores & agentic workflows

Tools you will master

Generative AI & Agentic AI Development
Training Modules

Delivery Methods

Classroom-based instruction (in-person)

Code walkthroughs and hands-on labs

Collaborative peer review and presentations

Project milestone checks and final capstone demonstration

Frequently Asked Questions

Who should join this course?

Junior Python developers, tech professionals, and anyone looking to enter the Gen AI space for enterprise automation.

What will I build?

A functioning CoPilot agent with advanced document interaction capabilities, ready for practical deployment in an enterprise setting.

What technologies will I learn?

Python, major LLM APIs, LangChain, RAG workflows, and popular deployment frameworks like Streamlit and FastAPI.

What is the assessment process?

Skill checks through project milestones, peer code reviews, and a final demonstration of your agent, leading to certification.

Is this suitable for working professionals?

Yes—weekend classroom sessions and structured content make it ideal for those in full-time roles.