End-to-End RAG Mastery: From LLM to AI Agents and Python !
End-to-End RAG Mastery: From LLM to AI Agents and Python !
Published 6/2025
Duration: 2h 40m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.59 GB
Genre: eLearning | Language: English
Published 6/2025
Duration: 2h 40m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.59 GB
Genre: eLearning | Language: English
Master AI Engineering and RAG Workflows: GenAI, OpenAI, LangChain / Real-World Python AI Systems / DeepSeek R1, QWEN,
What you'll learn
- Integrating vector databases for efficient data retrieval.
- Using Generative AI (GenAI) to build intelligent text generation systems.
- How to design and implement RAG pipelines for real-world use cases.
- The fundamentals of Retrieval-Augmented Generation (RAG).
- Creating scalable AI systems that handle large datasets.
- Fine-tuning AI models for specific tasks and industries.
- Using Python to interact with OpenAI APIs and LangChain.
- Building AI Agents that can automate complex tasks.
- Deploying AI applications in production environments.
- How to use Agentic RAG for dynamic, multi-step workflows.
- Advanced debugging and troubleshooting techniques for AI applications.
- Connecting AI workflows to external tools like Slack and Google Sheets.
- Understanding ethical considerations when building AI systems.
- Real-world applications of RAG, AI Agents, and Generative AI.
- Best practices for optimizing AI system performance.
Requirements
- A basic knowledge of Python programming.
- No prior experience in AI required – this course covers everything from the basics.
- A willingness to learn and experiment with cutting-edge AI tools.
- Familiarity with APIs and how they work (basic understanding).
Description
//Updated May 2025 – "New modules on Agentic RAG, advanced vector database integration, and hands-on real-world projects."
Are you ready to become amaster of AI and LLM Engineering? This course is yourcomprehensive guideto learning and applyingRetrieval-Augmented Generation (RAG),Generative AI (GenAI), andAI Agentsusing Python and OpenAI tools. Whether you're a beginner in AI or an experienced developer looking to expand your skill set, this course will take you fromfoundations to advanced engineering techniquesthat can transform the way you build AI applications.
Imagine creating intelligent systems that not only generate text but alsoretrieve relevant data,respond dynamically, andscale efficiently. Fromdesigning RAG pipelinestofine-tuning models, this course covers it all – and it’s packed withhands-on projectsto help you apply what you learn in real-world scenarios.
With over6 months of research, we've designed this course to provide you withpractical solutions,cutting-edge techniques, andinsider knowledgeto help you master AI tools and workflows. You’ll learn to integratevector databases, build scalableGenerative AI systems, and deployAI Agentsthat can handle complex tasks autonomously.
Why This Course Stands Out
Most AI courses simply teach you the theory. This course is different because it focuses onreal-world applicationsandadvanced engineering techniques. Here’s what makes it unique:
Comprehensive Learning: FromLLM fundamentalsto advancedRAG pipelines, you’ll gain all the skills needed to build intelligent systems.
Hands-On Projects: Build real-world applications step-by-step, from data retrieval systems to AI Agents.
Cutting-Edge Tools: Learn to useLangChain,OpenAI APIs, andvector databasesto create scalable AI workflows.
AI Agent Mastery: Understand how to design autonomous agents that interact with APIs and databases seamlessly.
Practical Focus: Every lesson is designed to help you implement AI solutions that deliver results in real-world scenarios.
Why Wait? Start Building Intelligent Systems Today!
This course is a complete guide to masteringRAG,AI Agents, andGenerative AIwith Python. Whether you’re looking to advance your career, build smarter applications, or gain hands-on experience, this course has everything you need.Enroll nowand start your journey to becoming an AI engineering expert!
Who this course is for:
- Freelancers and consultants offering AI-driven solutions to clients.
- AI enthusiasts aiming to build intelligent, scalable systems.
- Data scientists interested in applying RAG and Generative AI to their projects.
- Developers looking to specialize in AI and LLM engineering.
- Anyone curious about RAG, AI Agents, and Generative AI workflows.
- Students passionate about AI and looking to gain hands-on experience.
- Entrepreneurs building AI-powered applications for startups or businesses.
- Tech professionals who want to stay ahead in the evolving AI landscape.
More Info