[UDM] Deep Learning Foundations for AI and Gen AI Course (Dec 2025) + Resources

Laying the Groundwork for Deep Learning and Gen AI
The Deep Learning Foundations for AI and Gen AI Course will equip me with strong knowledge about deep learning, including its fundamental principles and its central role in the emergence of modern Generative AI. You will get a clear understanding of what deep learning exactly is and how it compares with the existing methods of AI and machine learning. The Deep Learning Foundations for AI and Gen AI Course presents a combination of practical AI developments to theoretical knowledge, explained intuitively, and with practical use in everyday life, making it the best choice for a person interested in how modern AI technologies can be developed on a ground-up basis.

Mastering Neural Network Mechanics
The fundamental component of the Deep Learning Foundations for AI and Gen AI Course is the thorough exploration of the workings of neural networks. You will learn both the layout and the flow of information via layers during the forward pass and the manner in which learning takes place during learning through the process of backpropagation. The course allows you to explore the parameters of different networks, different activation functions, and architectures, and explore their effect on the result in real-time, as well as form a practical intuition of how deep learning models learn, using interactive tools and visualizations, including the TensorFlow Playground.

Exploring Sequence Modeling and Advanced Concepts
In addition to feedforward neural networks, this course discusses more complicated architectures that work with time-based or sequential data. You will get to know Recurrent Neural Networks (RNNs), Long Short-term memory (LSTM) networks, and others that are essential in the study of language, audio, and other sequential-related fields. It also briefly covers the new role of attention mechanisms and transformers, the foundation of current Generative AI systems, which provide you with a peek into the architecture of current models such as ChatGPT and BERT.

Ideal Learners and Real-World Applications
Regardless of being a student, a data science enthusiast, or a working professional seeking to career-pivot to AI, this course is designed to suit learners with minimal background in programming or math who have some prior exposure to and wish to specialize in deep learning. It is a catapult to higher levels, such as NLP, computer vision, and Gen AI, which provides you with theoretical foundations and practical expertise to move forward with the AI industry or begin developing your own smart applications.