Learn Generative AI and LLMs in 7 Weeks
A comprehensive 7-week program to master Generative AI, LLMs, and AI agents. From foundations to advanced applications, this course provides hands-on experience and practical skills.
Published 2025-01-07 · By Shahzad Asghar
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<h1>Learn Generative AI, LLMs, and AI Agents in 7 Weeks</h1>
<h2>Overview</h2> <p> This <strong>7-week program</strong> is designed to provide a comprehensive understanding of <strong>Generative AI</strong>, <strong>Large Language Models (LLMs)</strong>, and <strong>AI Agents</strong>. Through a mix of <strong>interactive lectures</strong>, <strong>hands-on exercises</strong>, <strong>curated resources</strong>, and a <strong>capstone project</strong>, you'll gain the skills needed to build real-world applications and excel in the field of AI. </p>
<!-- Week 1 --> <h2>Week 1: Foundations of AI, Machine Learning, and Generative AI</h2> <p><strong>Goal:</strong> Build a strong foundation in AI, ML, and generative models.</p> <div class="week-container"> <div class="day-container"> <div class="day">Day 1</div> <div class="topic">Introduction to AI</div> <div class="resources"> - <a href="https://www.youtube.com/watch?v=UVcpAC3B1OQ" target="_blank">Video: The History of AI by ColdFusion</a><br> - <a href="https://www.amazon.com/Artificial-Intelligence-Guide-Intelligent-Systems/dp/0321204662" target="_blank">Reading: Artificial Intelligence: A Guide to Intelligent Systems (Chapter 1)</a> </div> </div> <div class="day-container"> <div class="day">Day 2</div> <div class="topic">Basics of Machine Learning</div> <div class="resources"> - <a href="https://www.youtube.com/watch?v=HcqpanDadyQ" target="_blank">Video: Machine Learning Explained by Google Cloud</a><br> - <a href="https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf" target="_blank">Reading: A Few Useful Things to Know About Machine Learning (PDF)</a> </div> </div> <div class="day-container"> <div class="day">Day 3</div> <div class="topic">Introduction to Deep Learning</div> <div class="resources"> - <a href="https://playground.tensorflow.org/" target="_blank">Interactive Tool: TensorFlow Playground</a><br> - <a href="https://www.deeplearningbook.org/" target="_blank">Reading: Deep Learning by Ian Goodfellow (Chapter 1, Free PDF)</a> </div> </div> <div class="day-container"> <div class="day">Day 4</div> <div class="topic">Basics of Generative AI</div> <div class="resources"> - <a href="https://www.youtube.com/watch?v=G2fqS0C4MPo" target="_blank">Video: What is Generative AI? by IBM Technology</a><br> - <a href="https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947" target="_blank">Reading: Generative Deep Learning by David Foster (Chapter 1)</a> </div> </div> <div class="day-container"> <div class="day">Day 5</div> <div class="topic">Introduction to Large Language Models</div> <div class="resources"> - <a href="https://platform.openai.com/playground" target="_blank">Interactive Demo: OpenAI GPT-3 Playground</a><br> - <a href="https://jalammar.github.io/illustrated-transformer/" target="_blank">Reading: The Illustrated Transformer by Jay Alammar</a> </div> </div> <div class="day-container"> <div class="day">Day 6</div> <div class="topic">Recap and Q&A</div> <div class="resources"> <span class="task">Task:</span> Reflect on the week's learning. </div> </div> </div>
<!-- Week 2 --> <h2>Week 2: Understanding Language Models and Transformers</h2> <p><strong>Goal:</strong> Dive deeper into language models and the Transformer architecture.</p> <div class="week-container"> <div class="day-container"> <div class="day">Day 1</div> <div class="topic">Introduction to NLP</div> <div class="resources"> - <a href="https://www.youtube.com/watch?v=w3Ke9Ow0T3Y" target="_blank">Video: NLP Demystified by Hugging Face</a><br> - <a href="https://web.stanford.edu/~jurafsky/slp3/" target="_blank">Reading: Speech and Language Processing by Daniel Jurafsky (Chapter 1)</a> </div> </div> <div class="day-container"> <div class="day">Day 2</div> <div class="topic">Transformer Architecture</div> <div class="resources"> - <a href="https://www.youtube.com/watch?v=H39Z_720T5w" target="_blank">Video: The Transformer Model by Hugging Face</a><br> - <a href="https://arxiv.org/abs/1706.03762" target="_blank">Paper: Attention is All You Need (arXiv)</a> </div> </div> <div class="day-container"> <div class="day">Day 3</div> <div class="topic">Pretraining and Fine-Tuning</div> <div class="resources"> - <a href="https://huggingface.co/course/chapter1" target="_blank">Tutorial: Hugging Face Fine-Tuning Course</a><br> - <a href="https://arxiv.org/abs/1810.04805" target="_blank">Paper: BERT: Pre-training of Deep Bidirectional Transformers (arXiv)</a> </div> </div> <div class="day-container"> <div class="day">Day 4</div> <div class="topic">Applications of LLMs</div> <div class="resources"> - <a href="https://huggingface.co/spaces" target="_blank">Demo: Hugging Face Spaces</a><br> - <a href="https://arxiv.org/abs/2005.14165" target="_blank">Paper: Language Models are Few-Shot Learners (GPT-3, arXiv)</a> </div> </div> <div class="day-container"> <div class="day">Day 5</div> <div class="topic">Limitations and Ethics</div> <div class="resources"> - <a href="https://dl.acm.org/doi/10.1145/3442188.3445922" target="_blank">Article: On the Dangers of Stochastic Parrots (ACM)</a> </div> </div> <div class="day-container"> <div class="day">Day 6</div> <div class="topic">Recap and Q&A</div> <div class="resources"> <span class="task">Task:</span> Write a short essay on ethical considerations of LLMs. </div> </div> </div>
<!-- Week 3 --> <h2>Week 3: Building and Fine-Tuning LLMs</h2> <p><strong>Goal:</strong> Learn how to build and fine-tune LLMs for specific tasks.</p> <div class="week-container"> <div class="day-container"> <div class="day">Day 1</div> <div class="topic">Setting Up Your Environment</div> <div class="resources"> - <a href="https://huggingface.co/docs" target="_blank">Reading: Hugging Face Documentation</a> </div> </div> <div class="day-container"> <div class="day">Day 2</div> <div class="topic">Fine-Tuning LLMs</div> <div class="resources"> - <a href="https://huggingface.co/docs/transformers/training" target="_blank">Tutorial: Hugging Face Fine-Tuning Guide</a> </div> </div> <div class="day-container"> <div class="day">Day 3</div> <div class="topic">Transfer Learning in NLP</div> <div class="resources"> - <a href="https://ruder.io/transfer-learning/" target="_blank">Article: Transfer Learning in NLP by Sebastian Ruder</a> </div> </div> <div class="day-container"> <div class="day">Day 4</div> <div class="topic">Hyperparameter Tuning</div> <div class="resources"> - <a href="https://towardsdatascience.com/hyperparameter-optimization-52648bbcf7a3" target="_blank">Article: Practical Guide to Hyperparameter Optimization</a> </div> </div> <div class="day-container"> <div class="day">Day 5</div> <div class="topic">Evaluating LLMs</div> <div class="resources"> - <a href="https://towardsdatascience.com/evaluation-metrics-for-language-models-4f0f7b702b7f" target="_blank">Article: Evaluation Metrics for Language Models</a> </div> </div> <div class="day-container"> <div class="day">Day 6</div> <div class="topic">Recap and Q&A</div> <div class="resources"> <span class="task">Task:</span> Submit a report on your fine-tuning experiment. </div> </div> </div>
<!-- Week 4 --> <h2>Week 4: Advanced Topics in Generative AI</h2> <p><strong>Goal:</strong> Explore advanced concepts like GANs, VAEs, and multimodal models.</p> <div class="week-container"> <div class="day-container"> <div class="day">Day 1</div> <div class="topic">Introduction to GANs</div> <div class="resources"> - <a href="https://www.youtube.com/watch?v=Sw9r8CL98N0" target="_blank">Video: Generative Adversarial Networks by Two Minute Papers</a><br> - <a href="https://arxiv.org/abs/1406.2661" target="_blank">Paper: Generative Adversarial Networks by Goodfellow et al. (arXiv)</a> </div> </div> <div class="day-container"> <div class="day">Day 2</div> <div class="topic">Introduction to VAEs</div> <div class="resources"> - <a href="https://towardsdatascience.com/understanding-variational-autoencoders-vaes-f70510919f73" target="_blank">Tutorial: Implementing VAEs in PyTorch</a> </div> </div> <div class="day-container"> <div class="day">Day 3</div> <div class="topic">Multimodal Models</div> <div class="resources"> - <a href="https://openai.com/dall-e-2" target="_blank">Demo: DALL-E or CLIP</a><br> - <a href="https://arxiv.org/abs/2103.00020" target="_blank">Paper: Learning Transferable Visual Models (CLIP, arXiv)</a> </div> </div> <div class="day-container"> <div class="day">Day 4</div> <div class="topic">RL with Human Feedback</div> <div class="resources"> - <a href="https://openai.com/blog/chatgpt" target="_blank">Article: Reinforcement Learning with Human Feedback (OpenAI Blog)</a> </div> </div> <div class="day-container"> <div class="day">Day 5</div> <div class="topic">Scaling Laws in LLMs</div> <div class="resources"> - <a href="https://arxiv.org/abs/2001.08361" target="_blank">Paper: Scaling Laws for Neural Language Models (arXiv)</a> </div> </div> <div class="day-container"> <div class="day">Day 6</div> <div class="topic">Recap and Q&A</div> <div class="resources"> <span class="task">Task:</span> Reflect on advanced generative models. </div> </div> </div>
<!-- Week 5 --> <h2>Week 5: Real-World Applications and Deployment</h2> <p><strong>Goal:</strong> Learn to deploy LLMs and build applications.</p> <div class="week-container"> <div class="day-container"> <div class="day">Day 1</div> <div class="topic">Building Chatbots</div> <div class="resources"> - <a href="https://huggingface.co/course/chapter5" target="_blank">Tutorial: Building Chatbots with Hugging Face</a> </div> </div> <div class="day-container"> <div class="day">Day 2</div> <div class="topic">Deploying Models</div> <div class="resources"> - <a href="https://towardsdatascience.com/deploying-ml-models-using-fastapi-5b8abf8269e0" target="_blank">Tutorial: Deploying Models with FastAPI</a> </div> </div> <div class="day-container"> <div class="day">Day 3</div> <div class="topic">Optimizing for Production</div> <div class="resources"> - <a href="https://huggingface.co/docs/optimum/concept_guides/quantization" target="_blank">Tutorial: Model Quantization with Hugging Face</a> </div> </div> <div class="day-container"> <div class="day">Day 4</div> <div class="topic">Multimodal Applications</div> <div class="resources"> - <a href="https://towardsdatascience.com/building-multimodal-apps-with-clip-4b2b1a0f0f0e" target="_blank">Tutorial: Building Multimodal Apps with CLIP</a> </div> </div> <div class="day-container"> <div class="day">Day 5</div> <div class="topic">Monitoring Models</div> <div class="resources"> - <a href="https://martinfowler.com/articles/cd4ml.html" target="_blank">Article: MLOps: Continuous Delivery for ML</a> </div> </div> <div class="day-container"> <div class="day">Day 6</div> <div class="topic">Recap and Q&A</div> <div class="resources"> <span class="task">Task:</span> Submit a deployment project report. </div> </div> </div>
<!-- Week 6 --> <h2>Week 6: Future Trends and Capstone Project</h2> <p><strong>Goal:</strong> Explore emerging trends and complete a capstone project.</p> <div class="week-container"> <div class="day-container"> <div class="day">Day 1</div> <div class="topic">Future of Generative AI</div> <div class="resources"> - <a href="https://www.youtube.com/watch?v=4lO2Wt0lK9M" target="_blank">Video: The Future of AI by Yann LeCun</a> </div> </div> <div class="day-container"> <div class="day">Day 2-5</div> <div class="topic">Capstone Project Work</div> <div class="resources"> <span class="task">Task:</span> Build a real-world application (e.g., chatbot, summarization tool). </div> </div> <div class="day-container"> <div class="day">Day 6</div> <div class="topic">Capstone Project Presentation</div> <div class="resources"> <span class="task">Task:</span> Submit and present your project. </div> </div> </div>
<!-- Week 7 --> <h2>Week 7: Understanding and Building AI Agents</h2> <p><strong>Goal:</strong> Learn about AI agents and their real-world applications.</p> <div class="week-container"> <div class="day-container"> <div class="day">Day 1</div> <div class="topic">Introduction to AI Agents</div> <div class="resources"> - <a href="https://www.youtube.com/watch?v=5K0Q5M5y2gA" target="_blank">Video: Introduction to AI Agents</a> </div> </div> <div class="day-container"> <div class="day">Day 2-6</div> <div class="topic">Building and Deploying AI Agents</div> <div class="resources"> <span class="task">Task:</span> Build and deploy an AI agent (e.g., personal assistant, game-playing agent). </div> </div> <div class="day-container"> <div class="day">Day 7</div> <div class="topic">Capstone Project for Agents</div> <div class="resources"> <span class="task">Task:</span> Present and demonstrate your AI agent. </div> </div> </div>
<h2>Key Takeaways</h2> <ul> <li>Gain hands-on experience with <strong>Generative AI</strong>, <strong>LLMs</strong>, and <strong>AI Agents</strong>.</li> <li>Build and deploy real-world applications.</li> <li>Understand the ethical implications and future trends in AI.</li> </ul> <p>By the end of this program, you'll be equipped with the knowledge and skills to excel in the rapidly evolving field of AI.</p>
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