Sharon ZhouDeepLearning.AI

In this specialization, you will learn to understand GAN components, build basic and advanced GANs using PyTorch, and control your GAN to build conditional GANs. You will compare generative models, use the FID method to assess GAN fidelity and diversity, and learn to detect bias in GANs. Additionally, you will explore GAN applications in data augmentation and privacy preservation, and implement Pix2Pix and CycleGAN for image translation.

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.

Emmanuel AcheampongMaven

In this bootcamp, you will go beyond fundamental AI knowledge and apply hands-on technical skills to real-world data problems. You will develop three distinct applications that showcase your diverse skillset in Data Analytics, Computer Vision, and Natural Language Processing. The course includes interactive live sessions, lifetime access to course materials, guided feedback, and a private community of peers.

Ishan AnandMaven

This course demystifies AI and teaches you exactly how Large Language Models (LLMs) like GPT-2 work, with no prerequisites beyond a STEM background. Using a unique spreadsheet implementation of GPT-2, we’ll break down each model component with crystal-clear explanations. Gain AI literacy, build a foundation for further AI projects, and confidently lead AI-driven teams.

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.

Dave KlineMaven

In this course, you'll build a codified management playbook, refine your leadership decision-making system, and leverage AI tools to enhance your impact. You'll learn to set team goals, delegate efficiently, and establish performance metrics. The course also covers strategies for managing up, building trust remotely, and engaging with a supportive community of peers.

Fab GiovanettiMaven

This course offers an in-depth exploration of sustainable and ethical marketing practices. Participants will learn to craft purpose-driven strategies, communicate the importance of ethical marketing to stakeholders, and execute accessible advertising campaigns. The course combines live workshops and on-demand sessions, providing a comprehensive learning experience that encourages collaboration and personal growth.

João MouraDeepLearning.AI

In this course, you will learn key principles of designing effective AI agents and organizing a team of AI agents to perform complex, multi-step tasks. You will apply these concepts to automate six common business processes. By the end of the course, you will have designed several multi-agent systems to assist you in common business processes and studied the key principles of AI agent systems.

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.

Carey PhelpsDeepLearning.AI

In this course, you will learn to instrument a Jupyter notebook, manage hyperparameter configurations, log run metrics, collect artifacts for dataset and model versioning, and log experiment results. Additionally, you will learn to trace prompts and responses to LLMs over time in complex interactions. By the end of the course, you will have a systematic workflow to boost your productivity and accelerate your journey toward breakthrough results.

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.

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.

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.

Jay AlammarDeepLearning.AI

In this course, you'll 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.

Mark LaurenceMaven

Participants will learn the five strategic steps to build an AI-forward business, master AI prompting, and deploy a framework-led diagnosis of their company's AI maturity. The course aims to transform senior leadership teams from AI novices to AI-literate leaders capable of driving AI adoption at scale.

Theresa FesinstineMaven

In this course, you will delve deep into AI and Generative AI, exploring their transformative potential in HR. You will gain hands-on experience with AI tools, learn to integrate them into HR processes, and develop effective AI strategies. The course will also cover monitoring and measuring AI performance to ensure continued relevance and effectiveness.

Mustafa KapadiaMaven

This course is designed to help Product Managers automate 30+ key PM tasks using AI within the first hour. You will learn to craft precise prompts, build the right mindset, and take automation to the next level by building agents (GPTs) without coding. The course includes interactive live sessions, lifetime access to materials, and a project to apply your learnings.

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.

Marcello RestelliCoursera

Dive into the world of artificial intelligence with this beginner-friendly specialization. Through five courses, you'll explore the technical foundations of AI, including machine learning and technologies, as well as ethical and legal considerations. Learn from experts and gain the skills needed to start building your own AI projects. This course is perfect for those looking to understand AI's current landscape and future potential.

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.

Isa FulfordDeepLearning.AI

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications. Using the OpenAI API, you’ll be able to quickly build capabilities that learn to innovate and create value in ways that were cost-prohibitive, highly technical, or simply impossible before now. This short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including summarizing, inferring, transforming text, and expanding text. You’ll also learn two key principles for writing effective prompts, how to systematically engineer good prompts, and build a custom chatbot. All concepts are illustrated with numerous examples, which you can play with directly in our Jupyter notebook environment to get hands-on experience with prompt engineering.

Isa FulfordDeepLearning.AI

This course teaches you how to efficiently build multi-step systems using large language models. You will learn to split complex tasks into a pipeline of subtasks using multistage prompts and evaluate your LLM inputs and outputs for safety, accuracy, and relevance. The course includes hands-on examples and built-in Jupyter notebooks to experiment with the code and prompts presented.

Sophia YangDeepLearning.AI

In this course, you’ll access Mistral AI’s collection of open source and commercial models, including the Mixtral 8x7B model, and the latest Mixtral 8x22B. You’ll learn about selecting the right model for your use case, and get hands-on with features like effective prompting techniques, function calling, JSON mode, and Retrieval Augmented Generation (RAG). By the end of this course, you’ll be equipped to leverage Mistral AI’s leading open source and commercial models.

edX LearningedX

Enroll in our Intro to AI Applications and Prompt Engineering course to see how you can make AI work for you. By the end of the course, you will be able to articulate key benefits and limitations of generative AI, understand how to use AI applications and prompt engineering to drive results, and create an AI-powered API application.