Agentic AI and Generative with Python Modern Guide

Master Agentic AI and Generative AI with Python from beginner to Advanced and learn Tokenization, Agents, RAG, Vector DB

Created byLakshmana Rao Netheti

Last updated 6/2026

English

English [Auto],

What you'll learn

Master Generative AI and Agentic AI Fundamentals
Build AI-Powered Applications with Python
Design and Deploy Autonomous AI Agents
Develop Real-World Agentic AI Projects

Course content

1 section • 7 lectures • 43m total length

Introduction4:16
Explore how linear regression uses the equation y = mx + c to model salary by experience, showing how slope and intercept determine both minimum salary and salary predictions.
Agent Components5:03
Explore essential list operations in Python, including creating, reading, updating, and deleting items, maintaining order, and using append and insert to add at the end or a specific position.
Foundation Models4:52
AI Agents and Autonomous Systems7:13
Explore the difference between lists and tuples, including mutability, then master indexing and slicing with start, end, and step using positive and negative indices.
Open-source vs Proprietary LLMs8:36
learn how to slice python lists using start, end, and step parameters, including indexing from zero and negative indices, to selectively access and skip items.
Planning and Reasoning7:46
Explore core Python collections by planning and reasoning through lists, sets, and dictionaries, and practice using for loops, append, add, update, and delete operations, and note that tuples are immutable.
Multi-Step Task Execution5:58
Explore Python collections—lists, sets, dictionaries, and tuples—for effective multi-step task execution in agentic AI workflows, including indexing, duplicates handling, key-value access, read-only data, and JSON concepts.

Requirements

you need to have a Passion for learning Agentic AI and Generative AI

Description

Welcome to the Modern Full Stack Agentic AI and Generative AI with Python course, a comprehensive hands-on program designed to help you master the latest advancements in Artificial Intelligence. This course takes you from the fundamentals of Generative AI to building powerful autonomous AI agents and full-stack AI applications using Python and modern frameworks.

You will learn how Large Language Models (LLMs) work, how to engineer effective prompts, and how to build intelligent AI systems capable of reasoning, planning, tool usage, memory management, and autonomous decision-making. Through practical projects, you will gain experience with state-of-the-art AI frameworks, vector databases, Retrieval-Augmented Generation (RAG), multi-agent systems, AI workflows, and AI-powered web applications.

The course also covers modern full-stack development techniques, enabling you to create end-to-end AI solutions with interactive user interfaces, backend APIs, cloud deployment, and production-ready architectures. By combining Generative AI, Agentic AI, and Python development, you will acquire the skills required to build next-generation AI products and applications.

Whether you are a software developer, data scientist, AI enthusiast, entrepreneur, or technology professional, this course will provide the practical knowledge and real-world experience needed to design, develop, and deploy intelligent AI systems.

By the end of this course, you will be able to build advanced AI agents, develop full-stack AI applications, integrate powerful language models, automate complex workflows, and create innovative AI-driven solutions for real-world business problems.

Who this course is for:

It is for anyone who wants to master Agentic AI and Generative AI