Machine Learning, Data Science and Generative AI with Python
Who is this course for
Software Developers & Programmers – Transition into data science and machine learning with hands-on projects and practical AI applications.
Technologists & AI Enthusiasts – Gain a deep understanding of machine learning, deep learning, and generative AI models.
Data Analysts & Finance Professionals – Learn how to analyze data using Python and transition into the tech industry.
Course Overview
This course is designed for those looking to master machine learning, data science, and generative AI using Python. You will learn to build artificial neural networks with TensorFlow and Keras, implement large-scale ML models with Apache Spark, and create AI-powered applications using OpenAI and LLM agents. The course covers key topics like regression, clustering, reinforcement learning, and data visualization to help you develop industry-relevant skills.
With hands-on projects, including a Pac-Man bot and a movie recommender system, this course provides a practical learning experience. You will also learn to optimize AI models, apply A/B testing, and handle real-world data challenges. Whether you are a developer, data analyst, or AI enthusiast, this course equips you with the expertise to excel in AI and machine learning.
What You'll Learn
- Build AI Systems – Develop generative AI models with OpenAI, RAG, and LLM agents.
- Master Machine Learning – Implement classification, clustering, and regression techniques with TensorFlow, Keras, and Spark.
- Scale AI Applications – Work with Apache Spark’s MLLib to train and deploy machine learning models at scale.
- Enhance Data Analysis – Use Matplotlib and Seaborn for data visualization and explore predictive modeling techniques.
- Real-World Projects – Build a Pac-Man reinforcement learning bot and a movie recommender system.
