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The Generative AI Edge: LLMs and Agentic Systems
Accelerate your career in AI with our hands-on, 8-week journey. Led by top industry experts, you'll go beyond theory to build real Generative AI products. Master state-of-the-art techniques like RAG, QLoRA, and AI Agents, and experiment with over 20 groundbreaking models.
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A Comprehensive Guide to Generative AI and LLMs:
Are you ready to move from curiosity to creation in the world of artificial intelligence? This comprehensive 8-week program is your blueprint for a career in modern AI development. Led by seasoned industry expert Ed Donner, this course is designed for those who want to do more than just understand AI—they want to build and innovate with it.
What You'll Learn:
This course and curriculum is meticulously crafted to transform your skills through practical application. During this course you'll :
Architect Cutting-Edge Solutions: Learn to design and construct advanced Generative AI products using state-of-the-art models and proven frameworks.
Explore the AI Landscape: Gain hands-on experience with over 20 different groundbreaking AI models, from powerful Frontier models to the most promising Open-Source solutions.
Master Essential Tooling: Develop a high level of proficiency with industry-standard platforms like HuggingFace, LangChain, and Gradio.
Deploy Advanced Techniques: Implement critical methods such as Retrieval-Augmented Generation (RAG), QLoRA fine-tuning, and the development of intelligent AI Agents.
Create Impactful AI Applications: Build a portfolio of powerful, real-world projects that showcase your skills, including a multi-modal customer support system, a corporate knowledge worker, and a code optimization tool that achieves a 60,000x performance boost.
Transition to Training: Move from simply using models to fine-tuning and training your own specialized models to outperform commercial alternatives on specific tasks.
Course Highlights:
Built on Doing: This is a project-based course. You'll solidify your understanding by building complex, real-world applications that deliver tangible results.
Stay Ahead of the Curve: The curriculum is focused on the latest frameworks and techniques to ensure your skills are current and in high demand.
Designed for Accessibility: No advanced math, calculus, or linear algebra is required. The content is practical and accessible, with step-by-step guidance and resources to support your learning journey.
The Program in Action: A Modular Overview
Module 1: Foundational Concepts: Dive into the core of Transformers and build your first AI business product by scraping and navigating company websites.
Module 2: The Power of APIs: Discover how to leverage Frontier APIs to develop a sophisticated customer service agent that understands text, audio, and images.
Module 3: Open-Source Models: Enter the world of Open-Source AI with HuggingFace, building a tool to generate meeting minutes from recordings.
Module 4: Code & LLM Selection: Understand how to choose the right LLM and create an AI tool that translates and optimizes code for massive performance gains.
Module 5: The RAG Revolution: Master Retrieval-Augmented Generation to build a powerful AI knowledge worker capable of answering company-specific questions.
Module 6-7: The Transition to Training: Learn to fine-tune both Frontier and Open-Source models, culminating in a project where you build a specialized model that surpasses commercial alternatives.
Module 8: Deployment & Agents: Learn to deploy your final project to a production environment with a polished UI and enhance its capabilities using advanced Agents.
Note – For comprehensive curriculum details and project information, please visit the Curriculum section.
This course is ideal For:
Developers and Data Scientists: Eager to enhance their skillset and build cutting-edge AI applications.
Career Changers: Individuals seeking a comprehensive pathway into the high-growth field of Generative AI.
Tech Professionals: Anyone looking to stay competitive by mastering the latest LLM frameworks and techniques.
Requirements
Familiarity with Python. However this course will not cover Python basics and is completed in Python.
A PC with an internet connection is required. Either Mac (Linux) or Windows.
We recommend that you allocate around $5 for API costs to work with frontier models. However, you can complete the course using open-source models if you prefer.
Introduction to Generative AI – Understanding LLMs, transformers, and modern AI ecosystems.
Anatomy of Transformer Models – Attention, embeddings, tokens (without heavy math).
Setting Up Your AI Environment – Python, Hugging Face, LangChain, Gradio, and GPU options.
Building Your First Mini AI App – A simple text summarizer/chatbot using a pre-trained model.
Web Scraping for AI – Collecting and processing company website data for AI use.
Project – Build a lightweight AI business intelligence tool using scraped data.
API-based AI vs Open-Source AI – Pros, cons, and when to use each.
Working with Frontier APIs – Calling models via OpenAI, Anthropic, or Cohere APIs.
Building a Multi-Modal Customer Support Agent – Text, voice, and image inputs.
Voice + Speech AI – Using Whisper and TTS for natural voice interaction.
Image Understanding Models – Captioning, OCR, and multimodal Q&A.
Project – Deploy a Multimodal Customer Service Bot.
Introduction to Open-Source AI Models – Hugging Face model zoo tour.
Working with Transformers Library – Loading, fine-tuning, and inference with open models.
Building a Meeting Transcription & Summarization Tool (audio → text → summary).
Evaluating LLMs – Benchmarks, prompt engineering, and task alignment.
Lightweight UIs with Gradio for Open-Source Apps.
Project – Meeting Minutes Generator with an easy-to-use interface.
Choosing the Right Model – Criteria and decision-making for LLM selection
Retrieval-Augmented Generation (RAG) – Concepts, architecture, and use cases
Implementing RAG Pipelines with LangChain & Vector Databases (FAISS, Pinecone, etc.)
Building a Knowledge Worker – Company-specific Q&A using internal documents
Code Optimization with LLMs – Translating & optimizing code with large models
Project – AI Corporate Knowledge Worker + Code Performance Booster
Introduction to Fine-Tuning – Types (LoRA, QLoRA, instruction tuning).
Hands-on Fine-Tuning of an Open-Source LLM for a Custom Use Case.
Frontier Model Customization – Working with fine-tuning APIs for specialized tasks.
Building Intelligent AI Agents – Chaining reasoning, task execution, and decision-making.
Deploying & Scaling AI Apps – Hosting APIs, using Docker, Streamlit/Gradio UIs.
Final Project – Deploy a Fine-tuned AI Agent with a Polished UI in Production.
Anushri Mishra
- 4.5 Instructor Rating
- 100+ Reviews
- 200+ Students
- 10 Courses
I am an educator with 3 year of experience teaching Artificial Intelligence, Coding and Robotics. I specialise in simplifying complex technical concepts, making them engaging and accessible for learners of all backgrounds. My classes blend theory with hands-on projects, helping students understand how AI and robotics shape the world around us.
Passionate about fostering curiosity and innovation, I am committed to inspiring the next generation of creators and problem-solvers through practical learning and interactive teaching methods.
Educational Qualification - B.Tech - Computer Science Engineering (CSE)
Experience - 3+ Year in Education-Technology Sector.
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What’s Included
Everything you need to know about this course
Lectures
16 ClassesDuration
8 WeeksLevel
BeginnerLanguage
English / HindiWhat you need / Requirement
Maths Basics
Fundamental arithmetic and algebra form the base for programming logic. Basic math skills improve problem-solving, algorithm design, and debugging effectiveness in coding.
Browser
A web browser like Chrome or Firefox is needed to open learning websites and access course content online.
Coding Basics
Knowing basic coding helps you understand how to give instructions to a computer and build simple programs.
Your Journey. Your Growth.
A structured path designed to take you from basics to mastery with clarity, confidence, and real-world impact.
Beginner
Start with fundamental concepts and build a strong foundation.
Intermediate
Expand your knowledge and start building practical projects.
Advanced
Dive deeper into specialized areas and master complex techniques.
Master
Achieve expert-level proficiency and innovate with your skills.
Ready to Upgrade Your Career Skills?
Join industry-focused courses with expert guidance, practical learning, certification, and career growth opportunities.
Earn Valuable Credentials
and Lead with a Competitive Edge.
Certificate and Recognition That Validates Your Skills
Our curriculum is meticulously designed in collaboration with industry leaders to ensure every skill you acquire is not just current, but in high demand.
Get Mentorship From Top 1 % Industry Experts
Our mentors are seasoned professionals and thought leaders who provide unparalleled guidance and personalized feedback.
Network For Lifelong Success
Our vibrant community of professionals offers continuous support, mentorship, and a platform for lifelong career acceleration.
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Explore Your Generative AI Journey
The Generative AI Edge: LLMs and Agentic Systems
Join 50k+ engineers leveling up today.
Basics of Transformers
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Learn Frontier APIs
Open-Source Models
The RAG Revolution
Code Optimization Tools
DIY AI Projects
Hands-on Building
Join 50k+ engineers leveling up today.
Have a Question?
We’d Love to Help!
Whether it’s about our courses, admissions, or anything else—just ask!
Your Partner in Every Step of Learning
A clear, step-by-step milestone path to take you from the basics to building real-world AI solutions.
Set Up Your AI Lab
The journey begins the moment you set up your development environment. In this first stage, you'll get familiar with the essential tools of the trade: Python, Hugging Face, LangChain, and Gradio.
Harnessing the Power of APIs
Guided by expert-led instruction, you'll learn the fundamentals of using Frontier APIs. You'll connect to state-of-the-art models and build your first multi-modal AI that understands text, audio, and images.
Exploring the Open-Source Universe
Once comfortable with APIs, the focus shifts to the vast world of open-source models. You will be introduced to the Hugging Face ecosystem and build a practical tool to generate meeting minutes from recordings.
Building Your AI Knowledge Worker
This is where learning turns into innovation. Using Retrieval-Augmented Generation (RAG), you will build a powerful AI that can query internal company documents to provide specific, accurate answers.
From Using Models to Training Your Own
Take the next leap by fine-tuning your own specialized models. In this stage, you'll learn techniques like QLoRA to create an AI that outperforms commercial alternatives on specific tasks.
Deploy and Showcase Your AI Agent
Learning is better when it creates real value! In this final stage, you will deploy your custom-trained AI agent to a production environment with a polished UI, ready to be shared and showcased.
What Makes This Course Special?
Practical learning, cutting-edge projects, and expert guidance all the way.
Expert-Led Guidance
Learn from seasoned professionals who bring real-world experience and hands-on mentorship.
Hands-On and Live Projects
Gain practical skills by working on real projects that simulate actual engineering environments.
Master Essential Tooling
Master industry-leading tools and platforms used by top professionals across the globe.
Real-World Problem Solving
Gain practical skills, deep domain knowledge, and real-world experience through this structured module designed by industry experts.
Build a Powerful Portfolio
Gain practical skills, deep domain knowledge, and real-world experience through this structured module designed by industry experts.
Frequently Asked Questions
Everything you need to know about The Generative AI Edge: LLMs and Agentic Systems
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