Overview

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Gain hands-on experience with Python programming, machine learning algorithms, and AI agent development. Start with Python basics, including data structures and file handling, and then move on to machine learning techniques such as regression, classification, and model evaluation. You'll also explore feature engineering, hyperparameter tuning, and AI agent frameworks like AutoGPT, IBM Bee, and LangGraph. By completing mini-projects and real-world case studies, you'll deepen your understanding of AI product management. The course concludes with creating and deploying GPTs to the ChatGPT Store, allowing you to apply your knowledge in business, healthcare, and robotics applications. Ideal for aspiring AI product managers, Python developers, and machine learning enthusiasts, this intermediate-level course requires a basic understanding of programming and machine learning concepts.

Syllabus

Introduction to Course and Instructor

In this module, we will introduce the course, outlining key learning objectives, and explain the essentials of becoming an AI Product Manager Explorer. You will gain clarity on the skills, tools, and practical applications that will be covered throughout the course.

Python Programming Basics

In this module, we will cover the foundational concepts of Python programming, including setting up your development environment, writing your first program, and understanding essential control structures. You will also learn about data structures, string manipulation, and best practices for clean, Pythonic code.

Introduction to Machine Learning

In this module, we will introduce you to machine learning concepts and techniques, starting with supervised learning, regression models, and classification. You will also learn how to evaluate your models and improve their performance through cross-validation, applying your skills in a hands-on mini project.

Feature Engineering and Model Evaluation

In this module, we will focus on feature engineering and how to enhance your machine learning models through data preprocessing, scaling, and normalization. You will also learn about feature selection, model evaluation, and hyperparameter tuning to improve the accuracy of your models.

AI Agents for Beginners

In this module, we will dive into the world of AI agents, explaining how they operate, their different types, and the technologies that power them. You will explore applications in fields like robotics, natural language processing, and various industries, with a focus on real-world impact.

AI Agents: A Comprehensive Overview

In this module, we will provide hands-on demonstrations of AI agent frameworks, giving you the tools to develop and deploy AI agents using platforms such as AutoGPT, IBM Bee, LangGraph, and CrewAI. You will build practical skills and gain valuable experience in AI agent development.

Creating and Publishing GPTs to ChatGPT Store

In this module, we will walk you through the process of creating and publishing your GPT models to the ChatGPT store. You will learn how to optimize your models and ensure they are ready for public use, providing a valuable skill in AI model deployment.

Congratulations

In this module, we will celebrate your achievements and offer you the encouragement to apply what you’ve learned in real-world settings. Congratulations on completing the course, and best of luck in your AI product management career!