Jay AlammarDeepLearning.AI

In this course, you will learn how a transformer network architecture that powers LLMs works. You'll build the intuition of how LLMs process text and work with code examples that illustrate the key components of the transformer architecture. By the end of this course, you’ll have a deep understanding of how LLMs process language and you’ll be able to read through papers describing models and understand the details that are used to describe these architectures.

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.

Pascal JolyMaven

In this course, you will delve into the environmental impact of AI applications and learn how to architect and design sustainable AI solutions. Explore best practices for optimizing AI workloads, reducing energy consumption, and demonstrating ROI to management. Engage with real-life case studies and industry trends to understand how leaders implement sustainable AI practices.

Colin MatthewsMaven

In this course, you'll master AI prototyping tools and learn to build functional prototypes in minutes. You'll gain a fundamental understanding of software architecture, learn debugging strategies, and integrate your prototypes with popular platforms. The course includes live sessions, hands-on projects, and a supportive community to ensure you achieve your learning goals.

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 NgDeepLearning.AI

In this course, you will gain a comprehensive understanding of AI technologies and their applications. You will learn about the workflow of machine learning and data science projects, AI terminology, and strategies for building AI projects. Additionally, you will explore the societal impact of AI, including issues like bias and job displacement. This course is ideal for non-technical business professionals, machine learning engineers, and data scientists looking to build a sustainable AI strategy.

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.

Andrew NgDeepLearning.AI

In this course, you will learn the fundamentals of generative AI, including its capabilities and limitations. You will explore various AI tools and techniques, and gain hands-on experience with generative AI applications. The course also covers the impact of AI on business and society, providing you with the knowledge to develop effective AI strategies.

Krish NaikUdemy

This course provides a detailed exploration of generative AI, focusing on the integration of Langchain and Huggingface models. Participants will learn to create advanced AI applications, understand architecture and design patterns, and gain hands-on experience in deploying models across various environments. The course covers deployment strategies, RAG pipelines, and model optimization, ensuring learners can build scalable and reliable AI systems.

Milan CucukMaven

In this immersive course, you'll learn how to write a story, turn it into a script, create a storyboard, and produce a visually stunning AI short film or trailer. You'll use tools like Midjourney for storyboarding, Runway for generating footage, and Eleven Labs for creating lifelike voices. By the end of the course, you'll have a completed script, an AI-enhanced storyboard, an AI short film or trailer, and an electronic press kit to attract attention and talent to your AI Cinema.

Harrison ChaseDeepLearning.AI

In this course, you will learn how to build an agent with long-term memory by creating a personal email agent that can respond, ignore, and notify the user using writing, scheduling, and memory tools. You’ll develop your agent’s memory by adding facts to its memory store, providing examples to learn the user’s preferences, and optimizing system prompts to evolve instructions based on previous responses. This course will equip you with the skills to integrate semantic, episodic, and procedural memory into AI agents, enhancing their functionality and user interaction.

Colin JarvisDeepLearning.AI

In this course, you will explore the capabilities of OpenAI's o1 model, known for its record-breaking performance in reasoning tasks. You'll learn about reinforcement learning, chain-of-thought prompting, and meta-prompting techniques. The course covers practical applications, including coding and image understanding, and provides insights into optimizing AI models for complex reasoning tasks.

Laurence MoroneyDeepLearning.AI

In this four-course Specialization, you’ll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications. Learn how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data and retrain deployed models with user data while maintaining data privacy. Apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more.

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.

Xinran MaMaven

In this course, you will learn how to apply AI throughout the design process, from initial ideas to polished wireframes. You will delve into detailed case studies showcasing AI integrations in product design, engage in targeted workshops, and gain access to exclusive AI resources and toolkits. The course also includes continuous support and a vibrant community of like-minded professionals.

Cecilia ZinitiMaven

In this course, you'll master advanced AI prompting techniques tailored for legal professionals. You'll learn how large language models operate, their strengths and weaknesses, and how to structure prompts for complex legal tasks. By the end of the course, you'll be able to build repeatable legal workflows with AI, enhancing your efficiency and accuracy in legal tasks.

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.

Elie SchoppikDeepLearning.AI

In this course, you will explore the Model Context Protocol (MCP) and its role in standardizing AI application development. Learn to build and deploy MCP servers, create MCP-compatible applications, and connect AI applications to external systems. By the end, you'll be equipped to develop AI applications with rich context and minimal integration work.

Mahesh YadavMaven

In this comprehensive course, you'll learn to build production-grade AI agents and create enterprise-ready product requirement documents. The course covers the entire AI ecosystem, focusing on discovery, design, deployment, pricing, and GTM strategies tailored for AI. You'll gain hands-on experience with tools like GCP Vertex AI, Langflow, and Azure Co-pilot Studio, and receive continued support even after the cohort ends.

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!

Krish NaikUdemy

This course provides a detailed exploration of generative AI, focusing on the integration of Langchain and Huggingface models. Participants will learn to create advanced AI applications, understand architecture and design patterns, and gain hands-on experience in deploying models across various environments. The course covers deployment strategies, RAG pipelines, and model optimization, ensuring learners can build scalable and reliable AI systems.

Ritesh VajariyaMaven

This course empowers you to lead the AI revolution in your organization. It bridges the gap between technical knowledge and strategic leadership, positioning you at the forefront of the AI evolution. You'll explore AI's essence, its real-world applications, and its business-revolutionizing potential. Equip yourself to spearhead AI initiatives, make informed decisions, and champion ethical AI use.

Andrew NgDeepLearning.AI

In this Machine Learning in Production course, you will build intuition about designing a production ML system end-to-end: project scoping, data needs, modeling strategies, and deployment patterns and technologies. You will learn strategies for addressing common challenges in production like establishing a model baseline, addressing concept drift, and performing error analysis. You’ll follow a framework for developing, deploying, and continuously improving a productionized ML application.

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.