Course Overview

The Agentic AI with Python training programme is a comprehensive, hands-on course designed to take learners from Python programming fundamentals to building enterprise-grade Agentic AI applications. Participants will learn how to develop intelligent AI assistants, autonomous agents, Retrieval-Augmented Generation (RAG) systems, Multi-Agent AI workflows, and Model Context Protocol (MCP) integrations using industry-leading frameworks such as LangChain, LangGraph, CrewAI, AutoGen, OpenAI, and Vector Databases.

Through live coding sessions, practical exercises, real-world case studies, and capstone projects, learners will gain the skills required to design, develop, deploy, and monitor production-ready AI solutions.

Course Objectives

• Master Python programming fundamentals and advanced concepts
• Understand Generative AI and Large Language Models (LLMs)
• Learn effective Prompt Engineering techniques
• Build RAG applications using Vector Databases
• Develop AI Agents with LangChain and LangGraph
• Create Multi-Agent Systems using CrewAI and AutoGen
• Implement MCP servers and integrations
• Deploy AI applications using modern frameworks
• Monitor and evaluate AI system performance
• Design enterprise-grade Agentic AI solutions

Course Benefits

• Learn Python and Agentic AI through a structured hands-on approach
• Gain practical experience with leading AI and LLM platforms
• Build production-ready AI assistants, copilots, and autonomous agents
• Master RAG, Vector Databases, MCP, and Multi-Agent Architectures
• Work on real-world industry projects and enterprise use cases
• Develop a strong AI engineering portfolio with capstone projects
• Learn deployment, monitoring, evaluation, and AI safety techniques
• Access interview preparation materials and mock assessments
• Receive certification from Testometer Edutech
• Prepare for emerging roles in AI Engineering, GenAI Development, and Agentic AI Solutions

Training Highlights

• 55 Hours of Instructor-Led Training
• Live Online Training Sessions
• Weekend and Weekday Batch Options
• Hands-On Coding and Practical Implementation
• Real-World AI Engineering Projects
• Industry-Focused Case Studies and Use Cases
• AI Research Assistant Development
• Resume Analyzer Agent Development
• AI Customer Support Agent Development
• Multi-Agent Travel Planner Project
• Enterprise Knowledge Assistant Project
• Class Recordings and Learning Resources
• Interview Question Bank and Mock Test Practice
• Certification Upon Successful Completion

Who Should Attend

• Software Developers
• Python Developers
• QA Engineers and Test Automation Engineers
• Data Analysts and BI Professionals
• AI and Machine Learning Enthusiasts
• Technical Support Engineers
• IT Professionals Exploring AI Transformation
• Product Managers and Technical Leads
• Startup Founders and Entrepreneurs
• Students and Fresh Graduates

Terms & Conditions

• Registration required before course commencement
• Training delivered in live online instructor-led mode
• Course recordings and study materials included
• Certification awarded upon successful completion
• Batch schedules subject to availability
• Corporate training options available
• Participants must meet system requirements
• Testometer may revise schedules or curriculum when necessary
• Course content remains the property of Testometer Edutech
• Terms and conditions may change without prior notice

Key Outcome

Upon successful completion of this programme, participants will be able to build, deploy, evaluate, and maintain enterprise-grade Agentic AI applications using Python, LLMs, RAG, MCP, LangChain, LangGraph, CrewAI, and AutoGen, enabling them to pursue high-demand roles in the rapidly growing AI industry.