Machine Learning, Data Science and Generative AI with Python

In this 20-hour course, you'll explore the fundamental techniques of machine learning, data science, and generative AI. Through hands-on Python coding, you will learn valuable skills such as building neural networks with TensorFlow, analyzing real-world data, and leveraging powerful frameworks like Apache Spark.

What I will be able to do after this course

• Develop expertise in data science and machine learning techniques using Python.
• Gain a thorough understanding of TensorFlow and Keras for building and training neural networks.
• Learn to process and analyze large datasets with Apache Spark.
• Discover techniques for implementing generative AI models like GPT and Transformer-based architectures.
• Master practical applications such as experimental design, sentiment analysis, and recommendation systems.

Course Instructor(s)

Frank Kane is a seasoned data scientist with over a decade of experience in machine learning and AI. He has worked at leading technology companies and specializes in teaching complex topics in an accessible and engaging manner. His courses emphasize practical skills that are directly applicable in real-world scenarios.

Who is it for?

This course suits programmers wishing to transition into data science or delve into advanced AI. Data analysts from non-tech industries looking to enhance their technical skillsets will also benefit. Some prior knowledge in coding is expected for optimal understanding. Beginners with no coding background should consider starting with introductory programming lessons first.