Sara DavisonMaven

In this course, you will learn essential AI fundamentals for business growth, key AI concepts, platforms, and tools, and how to create and use a Business Second Brain. You'll also learn the fundamentals of prompt engineering, advanced techniques for multi-step workflows, and strategies to align AI-generated content with your brand voice. By the end of the course, you'll be able to identify AI opportunities within your business, craft effective prompts, build and prepare an AI assistant for deployment, and integrate AI assistants with your knowledge base.

Miqdad JafferMaven

This course is not just about learning; it's about doing. It’s an exercise-heavy training that goes beyond gaining 'AI speak' to enhance your credibility and confidence to build AI Products and future proof your career. The live online sessions spread across four classes will equip you with a comprehensive AI Product playbook. This playbook covers everything from AI use-case validation, product design, development, and delivery, to launch strategies, metrics, and growth. Learn from successful AI product features at leading companies like Shopify, Google, Klarna, and Amazon, and apply these insights in a capstone project where you'll build your own AI-powered feature.

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.

Sharon ZhouDeepLearning.AI

Join our new short course, Finetuning Large Language Models! Learn from Sharon Zhou, Co-Founder and CEO of Lamini, and instructor for the GANs Specialization and How Diffusion Models Work. When you complete this course, you will be able to understand when to apply finetuning on LLMs, prepare your data for finetuning, and train and evaluate an LLM on your data. Finetuning allows the model to learn style, form, and can update the model with new knowledge to improve results.

Jack CohenMaven

In this course, you'll learn to leverage AI tools and human systems to enhance your leadership capabilities. You'll develop a personal operating system to manage your time and priorities effectively, learn to give and receive feedback constructively, and use AI to facilitate difficult conversations. The course includes live sessions, hands-on projects, and a community of peers to support your learning journey.

Assel Mussagaliyeva-TangMaven

In this comprehensive 12-week program, you will learn essential skills to break into the tech industry, including CV building, portfolio development, personal branding, and human-centric skills. The course features weekly live classes with industry experts, mentorship sessions, and practical projects. You will also have the opportunity to participate in the AI for Good Hackathon and BiT APAC Career Accelerator, which can help you secure a tech job. The program is designed to be inclusive and personalized, with a focus on soft skills micro-learning using GenAI and gamification techniques.

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.

Aman KhanMaven

In this course, you'll learn to build and deploy functional AI agents, define AI roadmaps, and evaluate AI product performance with robust metrics. You'll gain hands-on experience in prototyping, collaborating with AI engineers, and developing AI product strategies. This course is designed for PMs looking to transition from understanding AI concepts to shipping successful AI products.

Dr. Ronny KohaviMaven

This course covers the design and analysis of trustworthy A/B tests, integrating AI/ML, and growing your business through data-driven decision-making. You will learn from real examples and stories from Microsoft, Amazon, and Airbnb, understanding the challenges and pitfalls of experimentation. The course also covers cultural challenges, institutional memory, observational causal studies, and more technical topics like Bayesian vs. Frequentist methods.

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.

Jerry LiuDeepLearning.AI

Join our new short course and learn from Jerry Liu, co-founder and CEO at LlamaIndex, to start using agentic RAG, a framework designed to build research agents skilled in tool use, reasoning, and decision-making with your data. You will build various types of agents, including a router agent for Q&A and summarization tasks, and a research assistant agent capable of handling multiple documents. This course will enhance your ability to engage with and analyze your data comprehensively.

Ammaar ReshiMaven

In this practical course, you'll master AI tools to tell your own stories and share them with the world. You'll learn to work with GPT for storytelling, use AI image generation tools to create illustrations, and prepare your content for publishing. By the end of the course, you'll be a published author with your own paperback book to share with family, friends, and the internet.

Marc SunDeepLearning.AI

In this course, you will implement and customize linear quantization from scratch, studying the tradeoff between space and performance. You will build a general-purpose quantizer in PyTorch to quantize any open source model, compressing model weights from 32 bits to 8 bits and even 2 bits. This course provides the foundation to explore more advanced quantization methods.

edX LearningedX

Welcome to a transformative learning experience designed to enhance your personal and professional growth. Our course empowers you to foster a growth mindset, embrace continuous learning, and master learning how to learn. Gain practical knowledge that you can apply immediately in your personal and professional life, with AI assistance to guide your learning journey.

Miguel AmigotedX

In this course, you will explore the capabilities of OpenAI's advanced language model, ChatGPT, and learn how to utilize it for a wide range of applications. You will gain a comprehensive understanding of ChatGPT, its features, and limitations. By the end of the course, you will be able to use ChatGPT for various tasks, such as summarizing and expanding on a topic, building chatbots, and generating creative content.

Heidi CulbertsonMaven

In this course, you will learn how to design world-class bots by understanding conversation across the lifespan. You will explore how human communication evolves as we grow up and how to apply this knowledge to create usable conversational products. The course covers developing use cases, applying linguistics and cognition knowledge, training bots, crafting responses, prototyping, and usability testing. By the end of the course, you will have actionable knowledge, frameworks, and techniques to design better bots.

Rob LennonMaven

In AI Content Reactor 3.0, you will learn advanced AI prompting techniques that surpass traditional methods. The course covers a range of concepts from basic to advanced, ensuring you can create high-quality content efficiently. You'll gain access to ready-made prompt templates, live workshops, and a private community of peers. By the end of the course, you'll be able to customize AI workflows to your needs and produce content that resonates with your audience.

Karina NguyenDeepLearning.AI

In this course, you'll learn to use OpenAI Canvas to enhance your writing and coding. Discover how to collaborate with ChatGPT for brainstorming, drafting, and refining text or code. Learn to build practical use cases like creating a game app, generating Python code from plot screenshots, and creating SQL databases from architecture images. Understand the model training and design processes that power Canvas.

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.

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.

Amir FeizpourMaven

This course will teach you the core principles of multi-agent LLM systems, how to design and build them, and how to integrate them into existing products. You will learn about optimizing teamwork, managing complex information flow, and ensuring security. By the end of the course, you will be able to design and build robust multi-agent LLM systems that enhance user experience, productivity, and business metrics.

Rupa ChaturvediMaven

In this course, you will learn the foundational concepts of Conversational AI design, including chatbots and voice interfaces. You will develop design principles unique to your project goals and user needs, build an end-to-end case study, and gain techniques for effective stakeholder management. The course includes live workshops, peer-based learning, and 1-1 coaching sessions to help you navigate and excel in the field of Conversational AI.

Ben ErezMaven

In this course, you'll learn to master interview frameworks for Product Sense and Analytical Thinking, stand out with structured thinking, and practice like it's real with hands-on experience. You'll build interview confidence, level up your communication skills, and gain direct access to expert coaching and feedback.

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.