Published 6/2025
Created by Sara Rami
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 35 Lectures ( 2h 39m ) | Size: 1.6 GB
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 a master of AI and LLM Engineering? This course is your comprehensive guide to learning and applying Retrieval-Augmented Generation (RAG), Generative AI (GenAI), and AI Agents using 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 from foundations to advanced engineering techniques that can transform the way you build AI applications.Imagine creating intelligent systems that not only generate text but also retrieve relevant data, respond dynamically, and scale efficiently. From designing RAG pipelines to fine-tuning models, this course covers it all – and it’s packed with hands-on projects to help you apply what you learn in real-world scenarios.With over 6 months of research, we’ve designed this course to provide you with practical solutions, cutting-edge techniques, and insider knowledge to help you master AI tools and workflows. You’ll learn to integrate vector databases, build scalable Generative AI systems, and deploy AI Agents that can handle complex tasks autonomously.Why This Course Stands OutMost 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: From LLM fundamentals to advanced RAG 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 use LangChain, OpenAI APIs, and vector databases to 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 mastering RAG, AI Agents, and Generative AI with Python. Whether you’re looking to advance your career, build smarter applications, or gain hands-on experience, this course has everything you need. Enroll now and start your journey to becoming an AI engineering expert!
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