Udemyintermediateen

Deep Learning Mastery: Build your AI Foundation

Learn AI model building from the ground up! Master LLMs, CNNs, RNNs & Transformers for NLP, vision & time series. Keras & TensorFlow.

4.7(17)
89students
19h 21m
Certificate
Dr. Sridhar Palle
Dr. Sridhar PalleAI Expert & Educator | Founder, Pallence AI

Course Content

Deep Learning Mastery: Build your AI Foundation is an intermediate-level Udemy course taught by Dr. Sridhar Palle. It runs 19h 21m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 17 reviews, with 89 students enrolled. It is a paid course, last updated March 2025.

Join the AI revolution with our comprehensive "Deep Learning Mastery: Build Your AI Foundation" course! Artificial Intelligence (AI), Large Language Models (LLMs), and Large Multimodal Models (LMMs) are transforming industries, but what powers them? The core technology is Deep Learning and Neural Networks.

This course provides you with the foundational knowledge and practical skills to build powerful AI models from scratch – with just a few lines of code! Whether you're a complete beginner in AI or an aspiring data scientist, we'll guide you through mastering key Deep Learning concepts, including the revolutionary Transformers Architecture.

You’ll gain the ability to build your own language models, similar to GPT-1, utilizing the Transformer architecture. Understand the core intuition behind Deep Learning Algorithms and master the techniques to construct deep neural networks.

Dive deep into various neural network architectures:

  • CNNs (Convolutional Neural Networks)
  • RNNs (Recurrent Neural Networks)
  • LSTMs (Long Short-Term Memory)
  • GRUs (Gated Recurrent Units)
  • Transformers – the foundation for all the latest AI, Large Language Models (LLMs), and Large Multimodal Models (LMMs).

Through hands-on projects, you'll build your own models from scratch, trained on publicly available data. Gain real-world experience solving problems in:

  • Computer Vision
  • Time-Series Forecasting
  • Natural Language Processing (NLP), including Language Modeling.

By the end of this course, you'll not only understand how deep learning works but also have the confidence to apply it to real-world problems, including working with LLMs. You'll gain proficiency in industry-standard tools like TensorFlow and Keras to build cutting-edge AI solutions.

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