This intensive program is designed to equip participants with both theoretical foundations and practical implementation skills required to master the rapidly evolving field of Generative Artificial Intelligence. The curriculum begins with essential Python programming concepts and progressively advances through machine learning for natural language processing (NLP), deep learning architectures, and cutting-edge generative AI technologies.

Key Highlights

• Foundational Programming: Comprehensive training in Python programming, data structures, object-oriented programming (OOP) concepts, and essential libraries.

• NLP & Machine Learning: In-depth coverage of tokenization, text preprocessing, vectorization techniques, and word embeddings.

• Deep Learning Mastery: Detailed understanding of neural networks, recurrent neural networks (RNNs), long short-term memory networks (LSTMs), and bidirectional architectures.

• Transformer Architecture: Extensive exploration of encoders, decoders, attention mechanisms, and transformer-based models.

• Modern AI Frameworks: Practical experience with Hugging Face, OpenAI APIs, and the LangChain ecosystem.

• Advanced Techniques: Hands-on training in retrieval-augmented generation (RAG), vector databases, fine-tuning methods, and LlamaIndex.

• Production Deployment: Guidance on deploying AI applications using Flask and AWS cloud services.

The course also includes over 15 real-world projects, covering diverse applications such as chatbots, text summarization, image generation, audio transcription, and custom AI solutions. These projects provide participants with valuable industry-relevant experience, preparing them to implement AI systems effectively in professional environments.