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Generative AI - The Ultimate Guide!

Name: Generative AI - The Ultimate Guide!
Rating: 4.6 (1402 reviews)

Master the core concepts of GenAI and advanced techniques in - ChatGPT, Prompt Engineering, Image Generation AI Agents

Created byArjun Janananda

Last updated 8/2026

English

English [Auto],Spanish

What you'll learn

Hands-on mastery of Gen AI. Working with multiple Generative AI tools- ChatGPT, Stable Diffusion, Llama and more
Detailed concepts of Artificial Intelligence and workings under the hood of all types of Generative AI (Gen AI) Models
Advanced prompt engineering for Multimodal engines to achieve precise and useful work from GenAI
AI art generation and creation of photo realistic images of humans for free with Open source tools. - Create AI influencers, Marketing material, Design elements
Advanced workflows with Generative AI such as RAG, Model Fine Tuning and AI Agents
Work with ChatGPT like a pro with latest models- GPT 5 and others for content creation, data analysis, ideation, social media posts, productivity.
Automate content generation for free through Open Source models
Build apps powered by Gen AI - with APIs and also with AI models running locally on your computer
Interview preperation to secure top jobs in the domain of Gen AI
Implementing practical uses cases of Generative AI in organizations

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

15 sections • 51 lectures • 5h 15m total length

Introduction2:13
Topics covered2:28
Gen AI - Democratizing access to Technology4:05

Components of Artificial Intelligence that lead us to Generative AI -I9:54
Explore how artificial intelligence and machine learning drive generative AI, including creating content and reasoning across industries. Learn supervised versus unsupervised learning with practical examples in finance, retail, and healthcare.
Components of Artificial Intelligence that lead us to Generative AI - II4:23
Understanding Generative AI capabilities5:54
GenAI in 20263:32
Explore how GenAI evolved from chat-based answers to autonomous task completion and cross-application orchestration, becoming agentic, multimodal, and embedded in enterprise workflows by 2026.

Under the hood - Large Language Models9:58
Under the hood - Image Generation Models - I3:46
Explore how diffusion models create images from text prompts by encoding text with clip, gradually adding Gaussian noise, and reversing the process to produce clear, styled visuals.
Under the hood - Image Generation Models - II4:59
Under the hood - Multimodal Models5:50
Under the hood- Reasoning Models8:21
Explore reasoning models that break complex problems into intermediate steps, generate verifiable reasoning paths, and improve accuracy through prompting techniques and training with supervised fine-tuning and RLHF.
Generation by AI

Enterprise AI tools - I8:03
Explore enterprise AI tools across three types—AI assistants, AI built into existing software, and specialized tools—and learn to pick the right solution while protecting data.
Enterprise AI tools - II6:54
Leverage specialized enterprise AI tools to provide domain knowledge, workflows, and integrations that general AI lacks. Employ these tools as autonomous collaborators across marketing, human resources, finance, and legal.
Enterprise AI Deployment4:03
AI tool selection

Open Source GenAI vs Proprietary GenAI11:39
Compare open-source Gen-AI models with proprietary models, highlighting cost efficiency, transparency, customization, community support, and the risks of maintenance, security, and vendor lock-in.
System requirements for running models locally4:52
Running Large Language Models Locally on your computer7:02
discover how to run large language models locally using LM Studio, ensuring data privacy on your machine, choosing quantization levels, and interacting with downloaded models offline.
Running Image Generation Models Locally on your computer with Stable Diffusion9:44
Prompt Engineering for Image Generation13:32
Master prompt engineering for image generation by crafting clear, precise prompts and detailed contexts to control depth and mood in stable diffusion images.
Advanced Image Generation Techniques12:13
Open source Model Advantages

Requirements

No prior programming or technical knowledge required. The course is tailored for beginners who can follow along and learn

Description

This is the most comprehensive and hands-on course to learn all the concepts, tools, models and workings of Generative AI.
This is also the highest rated course on Generative AI on Udemy!

Whether you're a student, working professional, entrepreneur, manager, or software developer, or a professional from any industry, this course is designed to help you confidently understand, use, and apply modern Artificial Intelligence in real-world scenarios.

In this course, you'll learn how to:

• Understand the fundamentals of Generative AI and Artificial Intelligence

• Master Prompt Engineering techniques to consistently get better AI outputs

• Learn how Large Language Models (LLMs), Transformers, Embeddings, Tokens, Attention Mechanisms, and Neural Networks work

• Explore Retrieval-Augmented Generation (RAG), Fine-Tuning, AI Agents, Multimodal AI, AI APIs, and Vector Databases

• Generate high-quality text, images, audio, and other AI-powered content

• Understand the complete Open Source AI ecosystem and how it compares with proprietary models

• Build practical AI-powered workflows for business, productivity, content creation, software development, research, and automation

• Learn how organizations are successfully adopting Generative AI across different industries

• Gain the confidence to evaluate and work with new AI tools and technologies as they emerge

This course is highly practical

We will learn how AI can help you:

• Automate repetitive work

• Improve productivity

• Create professional content in minutes

• Generate AI images and creative media

• Solve complex problems more efficiently

• Make better business decisions

• Innovate faster with AI-powered workflows

This course provides an in-depth understanding of both commercial and open-source AI technologies. The concepts you'll learn apply across today's leading AI platforms, including ChatGPT, GPT-5, Claude, Gemini, and modern open-source models.

Who this course is for:

Anyone who is curious about Generative Artificial Intelligence (Gen AI) and want to explore it for free.
Professionals, Managers, Students, Entrepreneur,s Software Developers, Data Scientists, Marketing Teams, Product Managers, Business Leaders, Educators

Generative AI - The Ultimate Guide!

What you'll learn

Explore related topics

Coding Exercises

Course content

Introduction and Topics Covered3 lectures • 9min

Components of Artificial Intelligence that lead us to Gen AI4 lectures • 24min

How Generative AI Models Work Under the Hood5 lectures • 33min

Advanced Prompt Engineering6 lectures • 47min

AI Tools Landscape For Enterprises3 lectures • 19min

AI Safety2 lectures • 9min

Hands on Open Source Gen AI for Text and Image Generation6 lectures • 59min

RAG, Fine Tuning and AI agents4 lectures • 27min

Using Gen AI to build your own Apps3 lectures • 21min

Artificial General Intelligence (AGI) and the Future3 lectures • 16min

Requirements

Description

Who this course is for: