04-27-2026, 08:17 PM
[center]![[Image: 5156f00b83097ad095a6e7c927e73d06.jpg]](https://i127.fastpic.org/big/2026/0427/06/5156f00b83097ad095a6e7c927e73d06.jpg)
Agentic Ai & Llm: Build Ai Agents With Chatgpt, Ollama & Rag
Published 4/2026
Created by Deepak Rai
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 32 Lectures ( 4h 29m ) | Size: 2.47 GB [/center]
Learn Generative AI, LLMs, Prompt Engineering & Build AI Agents with Real-World Projects
What you'll learn
✓ Learn how tokens, embeddings, and context windows work in modern LLMs. Create real-world AI projects like analyzers, assistants, and automation tools.
✓ Students will learn AI, ML, LLMs, prompt engineering, RAG, vector databases, AI agents, and build real-world projects using ChatGPT, Claude, Mistral, and more.
✓ Master prompt engineering techniques for better AI responses. Work with ChatGPT, Claude, Mistral, Llama, DeepSeek, and Copilot.
✓ Understand RAG systems and how vector databases power semantic search. Build AI agents with memory, tools, and autonomous decision-making.
✓ Understand how Generative AI fits within AI and Machine Learning. Learn hosted vs open-source AI models and when to use each.
Requirements
● You don't need advanced AI or machine learning knowledge to take this course. A basic understanding of computers and how to use the internet is enough. Knowing basic Python is helpful but not mandatory, as concepts will be explained step by step. A curiosity to learn AI, build projects, and explore new tools is the most important requirement.
Description
Welcome to Agentic AI & LLMs Mastery, a complete hands-on course where you will learn how to build intelligent, autonomous AI systems using the most powerful modern tools like ChatGPT, Claude, Mistral, Llama, DeepSeek, and Copilot.
In this course, you will go beyond basic AI usage and learn how real-world AI systems are designed and built. You will start with foundational concepts like tokens, embeddings, context windows, and how Generative AI fits into Artificial Intelligence and Machine Learning. Then you will master prompt engineering techniques to design better AI outputs and workflows.
You will explore advanced topics like RAG (Retrieval-Augmented Generation), vector databases, context engineering, AI safety, and grounding techniques. Most importantly, you will learn how to build AI agents that can think, plan, use tools, and perform tasks autonomously.
Through practical, real-world projects, you will build AI systems such as product analyzers, sales analyzers, research assistants, and local private AI applications using open-source models.
By the end of this course, you will be able to design and build your own AI-powered applications and agent-based systems confidently.
Whether you are a beginner or developer, this course will help you upgrade your skills and stay ahead in the rapidly evolving AI world.
Who this course is for
■ This course is for students, developers, and professionals who want to learn AI from basics to advanced agentic systems. It is ideal for anyone interested in Generative AI, LLMs, and building real-world AI applications. It is also for beginners who want to start their AI journey and for developers who want to upgrade their skills in tools like ChatGPT, Claude, Mistral, and Llama. If you want to build AI agents, automation systems, or practical AI projects, this course is for you.
![[Image: 5156f00b83097ad095a6e7c927e73d06.jpg]](https://i127.fastpic.org/big/2026/0427/06/5156f00b83097ad095a6e7c927e73d06.jpg)
Agentic Ai & Llm: Build Ai Agents With Chatgpt, Ollama & Rag
Published 4/2026
Created by Deepak Rai
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 32 Lectures ( 4h 29m ) | Size: 2.47 GB [/center]
Learn Generative AI, LLMs, Prompt Engineering & Build AI Agents with Real-World Projects
What you'll learn
✓ Learn how tokens, embeddings, and context windows work in modern LLMs. Create real-world AI projects like analyzers, assistants, and automation tools.
✓ Students will learn AI, ML, LLMs, prompt engineering, RAG, vector databases, AI agents, and build real-world projects using ChatGPT, Claude, Mistral, and more.
✓ Master prompt engineering techniques for better AI responses. Work with ChatGPT, Claude, Mistral, Llama, DeepSeek, and Copilot.
✓ Understand RAG systems and how vector databases power semantic search. Build AI agents with memory, tools, and autonomous decision-making.
✓ Understand how Generative AI fits within AI and Machine Learning. Learn hosted vs open-source AI models and when to use each.
Requirements
● You don't need advanced AI or machine learning knowledge to take this course. A basic understanding of computers and how to use the internet is enough. Knowing basic Python is helpful but not mandatory, as concepts will be explained step by step. A curiosity to learn AI, build projects, and explore new tools is the most important requirement.
Description
Welcome to Agentic AI & LLMs Mastery, a complete hands-on course where you will learn how to build intelligent, autonomous AI systems using the most powerful modern tools like ChatGPT, Claude, Mistral, Llama, DeepSeek, and Copilot.
In this course, you will go beyond basic AI usage and learn how real-world AI systems are designed and built. You will start with foundational concepts like tokens, embeddings, context windows, and how Generative AI fits into Artificial Intelligence and Machine Learning. Then you will master prompt engineering techniques to design better AI outputs and workflows.
You will explore advanced topics like RAG (Retrieval-Augmented Generation), vector databases, context engineering, AI safety, and grounding techniques. Most importantly, you will learn how to build AI agents that can think, plan, use tools, and perform tasks autonomously.
Through practical, real-world projects, you will build AI systems such as product analyzers, sales analyzers, research assistants, and local private AI applications using open-source models.
By the end of this course, you will be able to design and build your own AI-powered applications and agent-based systems confidently.
Whether you are a beginner or developer, this course will help you upgrade your skills and stay ahead in the rapidly evolving AI world.
Who this course is for
■ This course is for students, developers, and professionals who want to learn AI from basics to advanced agentic systems. It is ideal for anyone interested in Generative AI, LLMs, and building real-world AI applications. It is also for beginners who want to start their AI journey and for developers who want to upgrade their skills in tools like ChatGPT, Claude, Mistral, and Llama. If you want to build AI agents, automation systems, or practical AI projects, this course is for you.
Code:
https://rapidgator.net/file/85d2e0e36685b4037ccea539ed9814ee/Agentic_AI_&_LLM_Build_AI_Agents_with_ChatGPT,_Ollama_&_RAG.part3.rar.html
https://rapidgator.net/file/163db07b18f7c7ee029d8fb8dc6a56e8/Agentic_AI_&_LLM_Build_AI_Agents_with_ChatGPT,_Ollama_&_RAG.part2.rar.html
https://rapidgator.net/file/5d7bb271b282a3fb74b633d57ecea8c4/Agentic_AI_&_LLM_Build_AI_Agents_with_ChatGPT,_Ollama_&_RAG.part1.rar.html
https://nitroflare.com/view/CC2AE88E5F27A09/Agentic_AI_%26amp%3B_LLM_Build_AI_Agents_with_ChatGPT%2C_Ollama_%26amp%3B_RAG.part3.rar
https://nitroflare.com/view/20D8A450A70433E/Agentic_AI_%26amp%3B_LLM_Build_AI_Agents_with_ChatGPT%2C_Ollama_%26amp%3B_RAG.part2.rar
https://nitroflare.com/view/62B104720C18EA5/Agentic_AI_%26amp%3B_LLM_Build_AI_Agents_with_ChatGPT%2C_Ollama_%26amp%3B_RAG.part1.rar

