Become an LLM Engineer in 8 weeks: Build and deploy 8 LLM apps, mastering Generative AI, RAG, LoRA and AI Agents.
What you’ll learn-25.5 hours course
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Project 1: Make AI-powered brochure generator that scrapes and navigates company websites intelligently.
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Project 2: Build Multi-modal customer support agent for an airline with UI and function-calling.
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Project 3: Develop Tool that creates meeting minutes and action items from audio using both open- and closed-source models.
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Project 4: Make AI that converts Python code to optimized C++, boosting performance by 60,000x!
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Project 5: Build AI knowledge-worker using RAG to become an expert on all company-related matters.
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Project 6: Capstone Part A – Predict product prices from short descriptions using Frontier models.
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Project 7: Capstone Part B – Execute Fine-tuned open-source model to compete with Frontier in price prediction.
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Project 8: Capstone Part C – Build Autonomous multi agent system collaborating with models to spot deals and notify you of special bargains.
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Compare and contrast the latest techniques for improving the performance of your LLM solution, such as RAG, fine-tuning and agentic workflows
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Weigh up the leading 10 frontier and 10 open-source LLMs, and be able to select the best choice for a given task
Deal Score0
