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udemy AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents View File File Name: AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents Content Source: https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models/ Genre / Category: Premium courses Password: Original Price: $49 Language: ENGLISH For Paid User Without URL Shortener: Download : GO TO SINGLE CLICK DOWNLOAD PAGE ABOUT THE COURSE: Accelerate your career in AI with practical, real-world projects led by industry veteran Ed Donner. Build advanced Generative AI products, experiment with over 20 groundbreaking models, and master state-of-the-art techniques like RAG, QLoRA, and Agents. What you’ll learn • Build advanced Generative AI products using cutting-edge models and frameworks. • Experiment with over 20 groundbreaking AI models, including Frontier and Open-Source models. • Develop proficiency with platforms like HuggingFace, LangChain, and Gradio. • Implement state-of-the-art techniques such as RAG (Retrieval-Augmented Generation), QLoRA fine-tuning, and Agents. • Create real-world AI applications, including: • A multi-modal customer support assistant that interacts with text, sound, and images. • An AI knowledge worker that can answer any question about a company based on its shared drive. • An AI programmer that optimizes software, achieving performance improvements of over 60,000 times. • An ecommerce application that accurately predicts prices of unseen products. • Transition from inference to training, fine-tuning both Frontier and Open-Source models. • Deploy AI products to production with polished user interfaces and advanced capabilities. • Level up your AI and LLM engineering skills to be at the forefront of the industry. About the Instructor I’m Ed Donner, an entrepreneur and leader in AI and technology with over 20 years of experience. I’ve co-founded and sold my own AI startup, started a second one, and led teams in top-tier financial institutions and startups around the world. I’m passionate about bringing others into this exciting field and helping them become experts at the forefront of the industry. Projects: Project 1: AI-powered brochure generator that scrapes and navigates company websites intelligently. Project 2: Multi-modal customer support agent for an airline with UI and function-calling. Project 3: Tool that creates meeting minutes and action items from audio using both open- and closed-source models. Project 4: AI that converts Python code to optimized C++, boosting performance by 60,000x! Project 5: AI knowledge-worker using RAG to become an expert on all company-related matters. Project 6: Capstone Part A – Predict product prices from short descriptions using Frontier models. Project 7: Capstone Part B – Fine-tuned open-source model to compete with Frontier in price prediction. Project 8: Capstone Part C – Autonomous agent system collaborating with models to spot deals and notify you of special bargains. Why This Course? • Hands-On Learning: The best way to learn is by doing. You’ll engage in practical exercises, building real-world AI applications that deliver stunning results. • Cutting-Edge Techniques: Stay ahead of the curve by learning the latest frameworks and techniques, including RAG, QLoRA, and Agents. • Accessible Content: Designed for learners at all levels. Step-by-step instructions, practical exercises, cheat sheets, and plenty of resources are provided. • No Advanced Math Required: The course focuses on practical application. No calculus or linear algebra is needed to master LLM engineering. Course Structure Week 1: Foundations and First Projects • Dive into the fundamentals of Transformers. • Experiment with six leading Frontier Models. • Build your first business Gen AI product that scrapes the web, makes decisions, and creates formatted sales brochures. Week 2: Frontier APIs and Customer Service Chatbots • Explore Frontier APIs and interact with three leading models. • Develop a customer service chatbot with a sharp UI that can interact with text, images, audio, and utilize tools or agents. Week 3: Embracing Open-Source Models • Discover the world of Open-Source models using HuggingFace. • Tackle 10 common Gen AI use cases, from translation to image generation. • Build a product to generate meeting minutes and action items from recordings. Week 4: LLM Selection and Code Generation • Understand the differences between LLMs and how to select the best one for your business tasks. • Use LLMs to generate code and build a product that translates code from Python to C++, achieving performance improvements of over 60,000 times. Week 5: Retrieval-Augmented Generation (RAG) • Master RAG to improve the accuracy of your solutions. • Become proficient with vector embeddings and explore vectors in popular open-source vector datastores. • Build a full business solution similar to real products on the market today. Week 6: Transitioning to Training • Move from inference to training. • Fine-tune a Frontier model to solve a real business problem. • Build your own specialized model, marking a significant milestone in your AI journey. Week 7: Advanced Training Techniques • Dive into advanced training techniques like QLoRA fine-tuning. • Train an open-source model to outperform Frontier models for specific tasks. • Tackle challenging projects that push your skills to the next level. Week 8: Deployment and Finalization • Deploy your commercial product to production with a polished UI. • Enhance capabilities using Agents. • Deliver your first productionized, agentized, fine-tuned LLM model. Submitter THEE DARK Submitted 05/08/2026 Category Courses Sale page https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models/- ai engineer core
- ai engineering
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udemy AI Engineer Agentic Track: The Complete Agent & MCP Course
AI Engineer Agentic Track: The Complete Agent & MCP Course View File File Name: AI Engineer Agentic Track: The Complete Agent & MCP Course Content Source: https://www.udemy.com/course/the-complete-agentic-ai-engineering-course/ Genre / Category: Premium courses Password: Original Price: $49 Language: ENGLISH For Paid User Without URL Shortener: Download : GO TO SINGLE CLICK DOWNLOAD PAGE ABOUT THE COURSE: 2026 is nothing short of a watershed moment for AI Agents. It has never been more important to be an expert with Agentic AI. And that is precisely the goal of this course: to equip you with the skills and expertise to design, build and deploy Autonomous AI Agents, opening up new career and commercial opportunities. This is an intensive 6-week program to master Agentic AI. We start by building foundational expertise, connecting LLMs using proven design patterns. Then, each week, we upskill with new frameworks: OpenAI Agents SDK, CrewAI, LangGraph and Autogen. The course culminates with a full week on the remarkable opportunities opened up by MCP. Above all, this is a hands-on course. I’m a big believer that the best way to learn is by DOING. So please prepare to roll up your sleeves! We’ll build 8 real-world projects; some are astonishing, some are intriguing, and some are quite surreal. But one thing’s for sure: all are powerful demonstrations of Agentic AI’s potential to utterly transform the business landscape. So come join me on this comprehensive 6-week journey. By the end, you will have mastered Agentic AI. You will have expertise in all the major frameworks. You’ll be well-versed in the strengths and traps of Agentic AI. You’ll confidently unleash Autonomous Agents to solve real-world commercial problems. And along the way, you’ll have had a whole lot of fun with the astounding, groundbreaking technology that is Agentic AI. Submitter THEE DARK Submitted 05/07/2026 Category Courses Sale page https://www.udemy.com/course/the-complete-agentic-ai-engineering-course/- ai engineer
- agentic ai
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Ankur Warikoo - The Ultimate Guide To Effective Communication
Not any video file only empty folders -
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Sadhguru Exclusive Videos
Please add playlist of Sadhguru exclusive video from old to new Will see all of those videos and they provide trial for 7 days so you can do this for free . Thankyou sir
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