Unlock the full potential of Deep Learning and Generative AI—across images, text, and audio—in one immersive, hands-on journey.

This course is designed to take you from foundational neural networks to cutting-edge Generative AI systems used in the real world. We start with the basics of Deep Learning and systematically build up through practical, high-impact domains—vision, language, and sound—so you develop a true full-stack understanding of modern AI.

Just a Overview :-

📝 Phase 1: Natural Language Processing (NLP)

• Learn NLP from scratch—covering tokenization, embeddings, and text preprocessing.

• Build RNNs, LSTMs, and Transformer-based language models.

• Progress to LLMs (Large Language Models), including practical fine-tuning techniques.

• Get hands-on with modern AI tools like LangChain, LlamaIndex, and retrieval-augmented generation (RAG) pipelines.

🖼️ Phase 2: Image Deep Learning & Computer Vision

• Begin with OpenCV and MediaPipe to understand image processing and real-time applications.

• Master Convolutional Neural Networks (CNNs) for classification and object detection.

• Explore GANs for image generation and Transformers for vision tasks.

• Dive into Vision Transformers (ViTs) and learn fine-tuning techniques using popular datasets and pre-trained models.

🔊 Phase 3: Audio Deep Learning

• Discover how to work with audio data—from preprocessing waveforms to extracting features like spectrograms and MFCCs.

• Build models for audio classification, speech recognition, and explore generative audio models.

• Learn how deep learning powers voice assistants, TTS (text-to-speech), and audio-based GenAI tools.