Deep Dive Track

Master cutting-edge AI technologies and production deployment. Build frontier model applications, production RAG systems, autonomous agents, and deploy LLMs at scale.

5 Modules 23 Chapters 30-40 Hours
Overall Progress 0%

Course Modules

Module 1 ✅ LIVE

Frontier Models & Multimodal AI

Master the latest AI models from OpenAI, Anthropic, and Google. Learn to build applications that process text, images, audio, and video with cutting-edge multimodal techniques.

⏱️ 6-7 hours 📚 5 chapters 🔬 Lab included
Module 2 ✅ LIVE

Production-Ready RAG Systems

Build enterprise-grade Retrieval-Augmented Generation systems. Master vector databases (Pinecone, Weaviate, Milvus), hybrid search techniques, chunking strategies, and real-time knowledge updates.

⏱️ 7-8 hours 📚 5 chapters 🔬 Lab included
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Module 3 ✅ LIVE

Autonomous AI Agents & Multi-Agent Systems

Create intelligent agents that can use tools, maintain memory, and work together in multi-agent systems. Build ReAct agents, implement tool calling, design agent orchestration patterns.

⏱️ 6-7 hours 📚 3 chapters 🔬 Lab included
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Module 4 ✅ LIVE

Efficient Fine-Tuning & Model Customization

Optimize open-source models for your specific domain using parameter-efficient techniques. Master LoRA, QLoRA, and adapter-based training. Fine-tune Llama, Mistral, and other models on consumer GPUs.

⏱️ 6-7 hours 📚 5 chapters 🔬 Lab included
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Module 5 ✅ LIVE

LLMs in Production: Deployment & Optimization

Deploy large language models at scale with production-grade infrastructure. Master vLLM for high-throughput inference, implement request batching, quantization, and model serving.

⏱️ 7-8 hours 📚 5 chapters 🔬 Lab included
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