Learn AI, ML, Neural Networks & Generative AI from scratch with real-world concepts and a capstone approach
Sub Category
- IT Certifications
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Objectives
- Understand how AI systems differ from traditional software
- Identify different types of AI and real-world AI workloads
- Clearly explain Machine Learning concepts, algorithms, and models
- Understand how ML models are trained, evaluated, and used
- Build and use a basic ML model using Python
- Understand Artificial Neural Networks and Deep Learning
- Learn key neural network architectures
- Understand Generative AI concepts and use cases
- Learn how Autoencoders, GANs, Diffusion models, and Transformers work
- Understand LLMs, SLMs, fine-tuning, and AI agents
Pre Requisites
- No prior AI, ML, or GenAI experience required
- Basic computer knowledge is enough
- Basic Python knowledge is helpful but not mandatory
- A willingness to learn concepts step-by-step
- Curiosity about how intelligent systems are built
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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