All courses
Mindstone's CEOMindstone
In this intensive weekend course, you'll move from AI curiosity to confidently leading AI-driven projects. With no coding required, you'll build real applications, develop a working prototype, and leave with a concrete plan to implement AI innovations. Benefit from expert guidance, an exclusive network, and a comprehensive implementation playbook.
Andrew NgCoursera
In this course, you will learn the fundamental concepts of AI, including machine learning, deep learning, and data science. You will explore what AI can realistically achieve and how to identify opportunities to apply AI in your organization. The course also covers the ethical and social implications of AI, providing a well-rounded understanding of the field.
Miguel AmigotedX
In this course, you'll learn how to use ChatGPT for content creation, grading, and more. You'll discover how to create personalized learning experiences for students and automate grading and feedback. We'll also cover ethical and legal considerations for using ChatGPT in education, and explore advanced techniques for customization and integration with other educational tools. By the end of the course, you'll be able to unlock the limitless potential of ChatGPT in education, and significantly improve your efficiency and access to information. Join us in this exciting journey and explore how AI and language models can transform the way we teach and learn.
Chris ButlerMaven
This course dives into the new paradigms and frameworks product leaders and designers are using to incorporate AI into their products. Through case studies, live workshops, and projects, you will learn to apply ethical, bias, fairness, and other guardrails to AI/ML products. The course features real examples from GitHub, Google, Cognizant, and Facebook Reality Labs’ Portal device.
Manish GuptaMaven
In this course, you will learn to curate an AI toolkit designed for your goals, craft effective prompts for AI models, create customized models for unique needs, analyze financial statements and big data, manage your finance team effectively, and create strategic plans through market research and analysis. The course includes interactive live sessions, lifetime access to course materials, 15 in-depth lessons, direct access to the instructor, 7 projects to apply learnings, guided feedback, and a private community of peers.
Mahesh YadavMaven
Drawing from Mahesh Yadav's extensive experience in AI/ML product management at leading companies like Facebook, AWS, and Google, this course addresses the critical gap in understanding AI/PM product basics and technical concepts. It includes hands-on labs to build your AI product portfolio, practical lab sessions, and effective product requirement documents (PRDs). The course prepares you for real-life interview settings and your AI PM career.
Jay AlammarDeepLearning.AI
In this course, you will learn how to implement basic keyword search, enhance it with the rerank method, and use embeddings for dense retrieval. You will gain hands-on practice with large amounts of data and learn to overcome challenges like varying search results and accuracy. By the end of the course, you will be able to implement language model-powered search into your website or project.
Jacob LeeDeepLearning.AI
This course will show web developers how to expand their toolkits with LangChain.js, a popular JavaScript framework for building with LLMs. It covers useful concepts for creating powerful, context-aware applications. By taking this course, you will learn to use LangChain’s underlying abstractions to build your own JavaScript apps, understand the basics of retrieval augmented generation (RAG), and have the structure of a basic conversational retrieval system that you can use for building your own chatbots.
Vasudev LalDeepLearning.AI
In this course, you will delve into the fascinating realm of Multimodal RAG, learning how to effectively chat with videos. The course offers a comprehensive understanding of generative AI, supported by practical code examples and video lessons. Designed for intermediate learners, it provides a unique opportunity to expand your AI knowledge and skills.
Blake EmalMaven
In AI Marketing 101, you'll learn how to leverage AI tools to streamline your marketing tasks. From writing great prompts to generating A+ content for SEO, ads, and content marketing, this course covers it all. You'll also learn how to build repeatable processes and automate key parts of your workflow using tools like ChatGPT, Notion AI, and DALL-E 3.
Ed DonnerUdemy
This course offers a comprehensive journey into mastering Generative AI and LLMs over 8 weeks. Learners will engage in hands-on projects, building real-world AI applications using cutting-edge models and frameworks. The course covers advanced techniques such as RAG, QLoRA, and Agents, providing step-by-step instructions and practical exercises. Designed for learners at all levels, it focuses on practical application without requiring advanced math, making it accessible and engaging.
Younes BelkadaDeepLearning.AI
In this course, you will learn how to compress models using linear quantization and downcasting techniques. You will gain a foundation in quantization methods, enabling you to optimize generative AI models for better performance on various devices. By the end of the course, you will be able to apply these techniques to your own models, making them more efficient and accessible.
Div GargDeepLearning.AI
In this course, you'll delve into the world of AI browser agents, learning how they automate online tasks and the decision-making strategies they employ. You'll build agents that can scrape websites, fill out forms, and more, using the AgentQ framework to enhance their capabilities. By the end, you'll have a solid understanding of AI agents' current state and future directions.
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.
Nikita NamjoshiDeepLearning.AI
In this course, you will gain a conceptual understanding of the RLHF training process, and then practice applying RLHF to tune an LLM. You will explore the two datasets that are used in RLHF training: the 'preference' and 'prompt' datasets. Use the open source Google Cloud Pipeline Components Library to fine-tune the Llama 2 model with RLHF. Assess the tuned LLM against the original base model by comparing loss curves and using the 'Side-by-Side (SxS)' method.
Amit SanganiDeepLearning.AI
Join our new short course, Introducing Multimodal Llama 3.2, and learn from Amit Sangani, Senior Director of AI Partner Engineering at Meta, about the latest additions to the Llama models 3.1 and 3.2. Discover the new vision capabilities, tool-calling, and Llama Stack, an open-source orchestration layer for building on top of the Llama family of models. Start building exciting applications on Llama!
