Udemy – AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents

৳ 99.00

Become an LLM Engineer in 8 Weeks – Build & Deploy 8 Real-World AI Applications

✅ আপনি যদি অর্ডার সম্পন্ন করার 1 ঘণ্টার মধ্যে আপনার ইমেইল ইনবক্স বা স্প্যাম ফোল্ডারে কোর্স ডাউনলোড লিংক না পান, তাহলে দয়া করে আমাদের হোয়াটসঅ্যাপ সাপোর্ট টিমের সাথে যোগাযোগ করুন: 01987186749। আমরা আপনার সহায়তায় সর্বদা প্রস্তুত।

Description

Mastering Generative AI & LLMs: An 8-Week Hands-On Course

Accelerate your career in Artificial Intelligence with this comprehensive, project-based program designed by industry expert Ed Donner. In just 8 weeks, you’ll master Generative AI, Large Language Models (LLMs), RAG systems, QLoRA fine-tuning, multi-modal applications, and real-world AI product deployment.

This course focuses entirely on practical, hands-on learning—helping you build advanced AI tools, explore cutting-edge models, and gain job-ready skills for modern AI engineering roles.


Requirements

  • Familiarity with Python (course does not cover Python basics).

  • A PC or laptop with internet connection (Mac/Linux or Windows).

  • Optional: ~$5 for API usage with frontier models (fully optional—you can complete the course using open-source models).


Course Overview

Mastering Generative AI and LLMs: An 8-Week Hands-On Journey
Gain real-world AI engineering experience through 20+ leading models, advanced frameworks, and step-by-step projects that build your portfolio and elevate your skills to industry standards.


What You’ll Learn

  • Build advanced Generative AI applications using the latest models and tools.

  • Work with 20+ Frontier and Open-Source models.

  • Master essential AI platforms: HuggingFace, LangChain, Gradio, and more.

  • Implement powerful techniques like:

    • RAG (Retrieval-Augmented Generation)

    • QLoRA fine-tuning

    • Agents and Toolcalling

  • Create production-ready AI applications, including:

    • Multi-modal customer support chatbot (text, audio, images)

    • AI knowledge worker powered by RAG

    • AI code optimizer converting Python to C++ with massive performance boosts

    • Price prediction engine for unseen ecommerce products

  • Learn both inference and training, including fine-tuning frontier and open-source models.

  • Deploy full AI solutions with polished user interfaces.

  • Become job-ready for high-demand roles in AI Engineering and LLM Development.


About the Instructor

Ed Donner, AI entrepreneur and technology leader with 20+ years of experience.
Founder of two AI startups (one acquired successfully).
Former tech leader in world-class financial institutions and global startups.
Dedicated to helping learners break into the AI industry with real, applicable skills.


Projects Included in the Course

Project 1: AI-Powered Brochure Generator

Scrape, analyze, and summarize company websites to auto-create formatted marketing brochures.

Project 2: Multi-Modal Airline Customer Support Agent

AI chatbot capable of handling text, audio, and image queries with tools/agents and a modern UI.

Project 3: Meeting Minutes Generator

Convert audio files into structured meeting summaries and actionable items using open-source and frontier models.

Project 4: AI Code Optimizer

Transform Python code into optimized C++—achieving up to 60,000x performance improvement.

Project 5: RAG-Powered AI Knowledge Worker

Build an AI assistant that can answer detailed questions based on a company’s shared drive.

Project 6–8: Capstone Projects

  • Part A: Price prediction model using Frontier LLMs

  • Part B: Open-source fine-tuned model competing with Frontier performance

  • Part C: Autonomous agent system identifying deals and notifying users


Why Choose This Course?

✔ 100% Practical, Hands-On Learning

Build real-world AI products from Day 1.

✔ Learn Cutting-Edge Techniques

RAG, fine-tuning, embeddings, QLoRA, agents, multi-modal AI—covered in depth.

✔ Accessible for All Skill Levels

Clear instructions, cheat sheets, templates, and guided walkthroughs.

✔ No Advanced Math Required

No calculus, linear algebra, or complex theory—pure practical engineering.

✔ Designed for the Modern AI Job Market

Learn everything needed to become an AI Engineer, LLM Specialist, or AI Product Builder.


Course Structure (Week-by-Week Breakdown)

Week 1: Foundations & First AI Product

  • Understand Transformer architecture and modern LLM fundamentals.

  • Test six leading Frontier LLMs.

  • Build your first Gen AI product: a website-scraping, decision-making brochure generator.


Week 2: Frontier APIs & Customer Service Chatbots

  • Work with top Frontier APIs and models.

  • Build a multi-modal customer support chatbot with:

    • Text, image, and audio understanding

    • Agent/toolcalling capabilities

    • Clean, professional UI


Week 3: Open-Source LLMs

  • Explore Open-Source models through HuggingFace.

  • Master 10 common AI tasks (translation, summarization, image generation, etc.).

  • Build an AI system that generates meeting minutes from audio recordings.


Week 4: LLM Selection & Code Generation

  • Learn how to compare and select the right LLM for specific business needs.

  • Build a system that converts Python code to optimized C++ using AI.

  • Achieve performance improvements of up to 60,000x.


Week 5: Retrieval-Augmented Generation (RAG)

  • Understand embeddings, vector search, and RAG architecture.

  • Implement vector storage using popular open-source vector databases.

  • Build a full RAG business solution similar to enterprise AI tools.


Week 6: Transitioning From Inference to Training

  • Move from using LLMs to training them.

  • Fine-tune a Frontier model for a real-world task.

  • Build your own specialized LLM—your first custom AI model.


Week 7: Advanced Training (QLoRA & More)

  • Dive deep into QLoRA fine-tuning.

  • Train open-source models to outperform Frontier models for targeted tasks.

  • Solve advanced, real-world AI challenges.


Week 8: Deploying Your AI Product

  • Deploy your commercial AI app with a polished interface.

  • Integrate Agents for intelligent workflows and autonomy.

  • Launch your first production-ready AI system.


Who This Course Is For

  • Aspiring AI Engineers or Data Scientists stepping into Generative AI and LLMs.

  • Developers who want real-world experience building advanced AI tools.

  • Professionals seeking to upskill for modern AI-driven job roles.

  • Anyone preparing for a career transition into AI.

  • Entrepreneurs or innovators who want to build AI-powered products and solutions.

Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.

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