AI Foundations

Dr. Greg LoughnaneMaven

In this comprehensive bootcamp, you will learn to prototype LLM applications using best practices and the four primary patterns of Generative AI. The course covers prompt engineering, retrieval augmented generation, fine-tuning, and agent development. You'll build applications from quick prototypes to scalable production systems, using open-source LLMs and embedding models. The program also includes visibility and monitoring tools, ensuring you can evaluate and optimize your applications effectively.

Isa FulfordDeepLearning.AI

This course teaches you how to efficiently build systems using the ChatGPT API by automating complex workflows. You'll learn to split tasks into a pipeline of subtasks using multistage prompts and evaluate LLM inputs and outputs for safety, accuracy, and relevance. The course includes hands-on examples and Jupyter notebooks for seamless experimentation.

Younes Bensouda MourriDeepLearning.AI

In the Natural Language Processing Specialization, you will learn to use logistic regression, naïve Bayes, and word vectors for sentiment analysis, analogies, and translations. You will also explore dynamic programming, hidden Markov models, and word embeddings for autocorrect, autocomplete, and part-of-speech tagging. Advanced topics include dense and recurrent neural networks, LSTMs, GRUs, and Siamese networks for sentiment analysis, text generation, named entity recognition, and question identification. Finally, you will delve into encoder-decoder, causal, and self-attention models for machine translation, text summarization, question-answering, and chatbot creation.

Maheen SohailMaven

This course covers AI design fundamentals, the end-to-end design process for AI products, and career preparation in AI design. You will learn about AI models, key terminologies, design principles, and ethical considerations. The course includes live Q&As, discussions, mini-projects, and case studies to provide hands-on learning and practical experience.

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.

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.

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.

Josh StarmerDeepLearning.AI

Dive deep into the attention mechanism that revolutionized AI with transformers. This course, taught by Josh Starmer, covers the evolution of attention, the role of Query, Key, and Value matrices, and the differences between self-attention and masked self-attention. Gain hands-on experience coding these concepts in PyTorch, and understand how they contribute to building scalable AI applications.

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.

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.

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.

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.

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.

Anshul RamachandranDeepLearning.AI

In this course, you'll explore the evolution of AI coding assistants and learn how to use Windsurf to code and build several applications. You'll gain insights into the challenges of AI coding agents, such as code search and discovery, and learn to manage unexpected AI behavior. By the end, you'll understand agentic coding in-depth and be able to use it to make your development process more efficient.

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.

Isa FulfordDeepLearning.AI

In Building Systems with the ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model. You will build chains of prompts that interact with the completions of prior prompts, systems where Python code interacts with both completions and new prompts, and a customer service chatbot using all the techniques from this course. This course is beginner-friendly and includes hands-on examples with built-in Jupyter notebooks for seamless experimentation.