Artificial Intelligence

Laurence MoroneyDeepLearning.AI

In this course, you will learn to integrate generative AI tools into your software development process, enhancing your coding efficiency and creativity. Through hands-on projects, you will gain techniques for using AI to assist with common development tasks, from writing and testing code to creating documentation and managing dependencies. The course is designed for both individual developers and team members looking to integrate AI tools into their workflow, helping you become a faster, more productive worker.

Dr. Marily NikaMaven

In this course, you will learn how to run teams that integrate AI into your product strategy, work with engineering and ML Ops teams, and navigate the ethical and regulatory issues surrounding AI. The course provides hands-on experience through case studies and practical exercises, simulating real-world scenarios. You will also gain insights from guest speakers who are industry leaders in AI.

Allie K. MillerMaven

This course offers a well-rounded approach to AI learning, tailored specifically for business leaders and executives. You'll learn how to contextualize AI into your business, find and prioritize AI use cases, and deploy AI responsibly. The course includes real-world tactics for AI execution, change management strategies, and insights into building an AI-focused culture. Benefit from the wisdom of world-class guest speakers and gain practical advice to enhance your organization's skills.

Thomas WolfDeepLearning.AI

In this course, you'll explore the evolution of agentic systems and learn why code agents are the next big step. You'll gain insights into the core idea of code agents, their benefits, and how to run them safely using a constrained Python interpreter. By the end, you'll be equipped to build and deploy code agents, ready to optimize their performance in real-world applications.

João AscensãoOne Month PM

This course covers everything from the basics of AI and data science to advanced product management techniques. You will learn how to frame AI problems, develop AI products, and strategize using data. The course also includes live Q&A sessions with industry leaders, providing practical insights into managing AI-driven products.

Ishan AnandMaven

This course demystifies AI and teaches you exactly how Large Language Models (LLMs) like GPT-2 work, with no prerequisites beyond a STEM background. Using a unique spreadsheet implementation of GPT-2, we’ll break down each model component with crystal-clear explanations. Gain AI literacy, build a foundation for further AI projects, and confidently lead AI-driven teams.

Will KurtDeepLearning.AI

In this course, you will gain a comprehensive understanding of structured outputs and their significance in software development. You will learn to generate structured outputs using APIs, re-prompting libraries, and constrained decoding. The course includes practical applications like building a social media agent and using Pydantic for defining structured outputs. By the end, you will be equipped with the knowledge to implement structured outputs in your LLM applications, enhancing your ability to develop scalable and efficient software solutions.

Nikita NamjoshiDeepLearning.AI

In this course, you will explore the properties of word and sentence embeddings and learn how to use them to measure semantic similarity between texts. You will apply text embeddings for tasks such as classification, clustering, and outlier detection. Additionally, you will learn to modify the text generation behavior of an LLM by adjusting parameters like temperature, top-k, and top-p. The course also covers the application of the open-source ScaNN library for efficient semantic search and building a Q&A system by combining semantic search with an LLM.