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Master AI Engineering: From Neural Networks to Agentic Systems
Week 1 : AI & Deep Learning Foundations
Introduction to AI and generative models
Neural networks with attention mechanisms
NLP foundations and embeddings
Weekend Project: Build your first neural network with attention
Week 2 : Large Language Models & Applications
Transformer architectures (GPT, BERT)
Fine-tuning and RLHF techniques
Building applications with OpenAI API and LangChain
Weekend Project: Create a custom domain-specific assistant
Week 3: Vector Databases & Computer Vision
Embeddings and semantic search systems
Building RAG systems for enterprise knowledge
Generative models for computer vision (Diffusion, GANs)
Week 4: Voice & Advanced Applications
Speech recognition and voice interfaces
Agentic AI and tool calling
Advanced development with LangGraph
Weekend Project: Build a multi-modal assistant
Weeks 5-8: Production & Projects
Deploy and monitor AI systems
Emerging technologies and architectures
Team projects building agentic AI solutions
Multi-modal AI applications with practical use cases
Generative models for computer vision (Diffusion, GANs)
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