Master Deep Learning, Transformers, MLOps & AI Agent Development with Real-World Projects
Sub Category
- Data Science
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Objectives
- Tune and optimize machine learning models using advanced techniques
- Build and train CNNs for image classification and computer vision tasks
- Develop RNNs, LSTMs, and GRUs for time series and sequence modeling
- Understand and implement transformers and attention mechanisms
- Apply transfer learning to fine-tune powerful pre-trained models
- Design and analyze AI agents for autonomous decision-making
- Use TensorFlow and PyTorch for deep learning projects
- Deploy models using MLOps tools like Docker, MLflow, and CI/CD pipelines
Pre Requisites
- Completion of a beginner or associate-level AI or machine learning course (or equivalent knowledge)
- Strong understanding of Python programming, including experience with functions, classes, and working with libraries like NumPy and Pandas
- Solid grasp of basic machine learning concepts, including regression, classification, model evaluation, and overfitting
- Familiarity with deep learning fundamentals, including neural networks and basic model architecture
- Prior exposure to tools like Jupyter Notebook, TensorFlow, or PyTorch
- Working knowledge of mathematics for AI, including linear algebra, probability, and calculus
- A computer (Windows, macOS, or Linux) with reliable internet and the ability to install development tools
- Willingness to explore complex, production-grade systems and invest time in hands-on coding, model experimentation, and deployment workflows
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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Coupon Code(s)