Amit SanganiDeepLearning.AI

In this course, you will explore the Llama 4 models, learning how to utilize their Mixture-of-Experts architecture for efficient application development. You'll gain practical experience with image reasoning, image grounding, and long-context text processing. The course also covers prompt optimization and synthetic data creation, equipping you with the skills to build production-ready features that span text, images, and massive context. By the end, you'll be able to confidently choose and implement the right Llama 4 model for your projects.

Amit RawalMaven

By the end of the course, you'll become adept at using AI to turn complex data into compelling stories that drive action and impact. You'll learn how AI can augment your analytical capabilities, automate tedious tasks, and provide deeper insights that were previously unimaginable. You’ll get step-by-step guidance and 50+ prompts to go from identifying the right questions to weaving data into an impactful narrative.

Patrick NeemanMaven

In this course, you'll learn how to integrate AI into your design workflow, transforming from AI-curious to AI-empowered. You'll master AI assistant tools, empathy-driven design, and rapid prototyping, while gaining hands-on experience with generative AI platforms. This course will equip you with the skills to accelerate innovation, gain deeper user insights, and foster creative collaborations.

Maria KhalusovaDeepLearning.AI

In this course, you will learn to select open source models from Hugging Face Hub to perform various tasks using the transformers library. You will package your code into a user-friendly app that can run on the cloud using Gradio and Hugging Face Spaces. The course covers tasks such as turning a small language model into a chatbot, translating languages, summarizing documents, converting audio to text, and more. By the end of the course, you will have the building blocks to create your AI-enabled applications.

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.

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.

Dr. Nancy LiMaven

In this bootcamp, you will lead a team of AI engineers, data scientists, and designers to build and launch a real AI product. You'll learn AI product strategy, validate user pain points, design and prototype with experts, and launch your product publicly. The course provides resume help, job referrals, and the opportunity to apply for seed funding and incubators.

Fábio DuarteGetSmarter

In this course, you will gain a broad perspective on the future of real estate, including disruptions to commercial and residential properties, parking lots, curbsides, warehousing, and last mile delivery. You will understand how AI and self-driving vehicles are transforming the real estate industry and learn to leverage trends in micro-mobility, on-demand mobility, and self-driving vehicles for real estate investment opportunities. The course includes exposure to real city case studies and industry-relevant tools, equipping you with practical skills to navigate the evolving mobility landscape.

Michael HirschMaven

This intensive 3-week program is designed for product leaders at all stages of their AI journey. Learn to navigate AI-driven landscapes, make strategic AI decisions, and lead teams through AI transformations. Gain hands-on experience with essential AI tools and frameworks, and develop AI-driven leadership skills to advance your career.

Nicolas BoucherMaven

In this course, you will learn how to give advanced instructions to Generative AI, use it for financial analysis, solve confidential data issues, and build your own GPT for finance. You will also learn to use Python for financial analysis without needing to code. The course includes live sessions, self-paced videos, and a comprehensive set of resources to help you master these skills.

Laurie VossDeepLearning.AI

In this course, you'll master the art of building agentic document workflows using event-driven architecture. You'll learn to automate document processing, incorporate human feedback, and enhance workflows with multimodal capabilities. By the end, you'll be equipped to design workflows that fill out forms and respond to human feedback for accurate form completion.

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.

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.

Ritesh VajariyaMaven

Through hands-on projects and expert guidance, you'll master the art of prompt engineering, enabling you to effectively communicate with and guide LLMs to achieve desired outcomes. You'll explore cutting-edge techniques like Retrieval Augmented Generation (RAG) and fine-tuning, empowering you to build sophisticated AI systems that can process and generate human-like text. As you progress through the course, you'll develop the skills to create agentic systems that can autonomously perform complex tasks and make intelligent decisions. You'll also learn best practices for deploying and monitoring LLM applications in production environments, ensuring scalability and reliability. By the end of this course, you'll have a robust portfolio of Generative AI projects showcasing your ability to leverage LLMs for various engineering applications. You'll be equipped with the knowledge and practical experience needed to drive innovation in your organization and make a significant impact in the field of AI engineering.

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.

Sung KimDeepLearning.AI

This course provides a comprehensive understanding of pretraining large language models. You'll learn to prepare data, configure models, and assess performance, with a focus on cost-effective strategies. The course covers creating high-quality datasets, using the Hugging Face library, and evaluating model performance with benchmark tasks.

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.

Harrison ChaseDeepLearning.AI

In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework. You will learn about models, prompts, parsers, memories for LLMs, chains, question answering over documents, and agents. By the end of the course, you will have a model that can serve as a starting point for your own exploration of diffusion models for your applications.

Germán LeónMaven

In this course, you will learn to design AI solutions that effectively meet user needs, rapidly prototype and iterate AI products using AI/UX design methods, navigate ethical considerations in AI product design, and develop and pitch a comprehensive AI product. The course includes interactive live sessions, lifetime access to course materials, in-depth lessons, direct access to the instructor, projects to apply learnings, guided feedback, and a private community of peers.

Harrison ChaseDeepLearning.AI

In this course, you will learn to build an agent from scratch using Python and an LLM, and then rebuild it using LangGraph. You will explore LangGraph’s components and how to combine them to build flow-based applications. Additionally, you will learn about agentic search, which returns multiple answers in an agent-friendly format, enhancing the agent’s built-in knowledge. The course also covers implementing persistence in agents, enabling state management across multiple threads, conversation switching, and the ability to reload previous states. You will incorporate human-in-the-loop into agent systems and develop an agent for essay writing, replicating the workflow of a researcher working on this task.

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.

James GrayMaven

In this comprehensive course, you'll master AI assistants, build AI workflows, and create multi-agent systems to automate tasks and achieve outcomes. Gain hands-on experience with cutting-edge AI tools and learn to integrate AI into your work and business, enhancing your productivity and impact.

Rav AhujaCoursera

This specialization provides a thorough introduction to AI, covering its applications, use cases, and impact across industries. Learners will explore key concepts such as Machine Learning, Deep Learning, and Neural Networks, and gain practical experience by building and deploying an AI-enabled chatbot without coding. The course also covers IBM Watson AI services and the creation of intelligent virtual assistants, equipping learners with the skills needed to leverage AI in various scenarios.

Jorden WoodsMaven

Unlock the power of GenAI tailored to your business. This course covers AI basics, the latest techniques, and responsible AI frameworks. Gain hands-on experience in a guided workshop with both tech and non-tech tracks. Learn to design and build custom GenAI models for greater efficiency, accuracy, safety, privacy, security, and compliance. Enhance your competitive edge with domain-specific datasets and proprietary algorithms.