Complete Generative Ai Bootcamp Build Real Ai Applications

[Emperor2011]

Complete Generative Ai Bootcamp: Build Real Ai Applications
Published 5/2026
Created by Kaushik Annambhotla
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 49 Lectures ( 5h 54m ) | Size: 4.44 GB
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Build real-world AI apps (a personal portfolio) using LLMs, Prompt Engineering, RAG, AI Agents, LangChain, and Python
What you'll learn
Master the basics of Machine Learning, Neural Networks, Generative AI, Python
Connect with LLMs using LangChain APIs
Learn the complete RAG pipeline, including data ingestion and retrieval processes and working with Vector Databases
Build agentic workflows using OpenAI Agent Builder and n8n
Explore ReAct Agents, Crew AI, and the Model Context Protocol (MCP)
Go beyond text with Speech-To-Text (STT) and Text-To-Speech (TTS) models
Create and deploy apps using GitHub, Streamlit, Supabase and Vercel V0
Experience "Vibe Coding" with Claude and Cursor IDE
Explore model customization, LLM Fine-tuning, and advanced architectures like GANs, VAEs, and Diffusion
Requirements
No programming experience needed. We teach Python basics and provide code walkthroughs for building apps with LLM APIs. While much of this can be vibe coded, understanding how these integrations work helps you truly stand out.
A willingness to learn and grow beyond just vibe coding.
Description
Welcome to the Complete Generative AI Bootcamp, where you will learn how to build real-world AI applications using the latest tools, frameworks, and workflows used in the industry today.
This course is designed for beginners, students, developers, product managers, and working professionals who want to gain practical Generative AI skills and stay ahead in the AI era. You do not need prior AI experience to get started. We cover the fundamentals step by step while focusing heavily on hands-on implementation.
Throughout the course, you will learn how Large Language Models (LLMs) work, how to write effective prompts, and how to build AI-powered applications using Python and modern AI frameworks.
You will learn
Fundamentals of Generative AI and LLMs
Prompt Engineering techniques
Tokens, embeddings, transformers, and attention mechanisms
Building AI apps using OpenAI APIs and LangChain
Creating and deploying apps using Cursor, Streamlit, Supabase, Vercel, GitHub
Retrieval-Augmented Generation (RAG) systems
Vector Databases and semantic search
AI Agents and tool calling
Fine-tuning concepts
Real-world AI workflows and automation
Create a personal portfolio of AI apps
This course is highly practical and project-driven. Instead of only learning theory, you will build multiple AI applications that strengthen your understanding and help you create a strong portfolio for internships, jobs, and freelance opportunities.
By the end of this course, you will be able to confidently build, understand, and deploy modern AI applications using industry-relevant tools and workflows.
Who this course is for
Students aiming to kickstart a career in AI
Product Managers looking to stay relevant in the AI era
Working professionals planning to transition into AI roles
Developers who want to build practical Generative AI skills


https://rapidgator.net/file/0299ab1...amp_Build_Real_AI_Applications.part5.rar.html
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https://rapidgator.net/file/7ba5f5b...amp_Build_Real_AI_Applications.part2.rar.html
https://rapidgator.net/file/a9cbe2c...amp_Build_Real_AI_Applications.part1.rar.html