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.

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.

Dr. Marily NikaMaven

In this comprehensive bootcamp, you'll learn from top industry experts, including Google's Marily Nika, to master AI Product Management. The course covers technical and strategic aspects, offering live sessions, practical exercises, and a capstone project. You'll gain skills in AI development, metrics, strategy, and more, preparing you to lead AI initiatives in your organization.

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.

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.

Dave KlineMaven

In this course, you'll build a codified management playbook, develop a Management OS, and refine your leadership decision-making system. You'll learn to leverage AI prompts and tools, set team goals, delegate efficiently, and establish performance metrics. Join a community of 1200+ alums and leave with a comprehensive management approach.

Rav AhujaCoursera

In this course, you will explore the key concepts and applications of AI, including deep learning, machine learning, and neural networks. You'll examine generative AI models, such as large language models, and their capabilities. The course also covers AI's impact on industries like natural language processing, computer vision, and robotics, highlighting how these advancements drive innovation. Additionally, you'll delve into the ethical considerations and governance of AI, preparing you to navigate the evolving AI landscape.

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.

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.

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.

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.

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.

Bernease HermanDeepLearning.AI

In this course, you will explore new metrics and best practices to monitor your LLM systems and ensure safety and quality. You will learn to identify hallucinations, detect jailbreaks, and identify data leakage. Additionally, you will build your own monitoring system to evaluate app safety and security over time. By the end of the course, you will be able to identify common security concerns in LLM-based applications and customize your safety and security evaluation tools.

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.

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.

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.

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.

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.

Laurence MoroneyDeepLearning.AI

In this hands-on, four-course Professional Certificate program, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow. After finishing this program, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. This program can help you prepare for the Google TensorFlow Certificate exam and bring you one step closer to achieving the Google TensorFlow Certificate.

Bryan D. Eldridge, M.Ed.Maven

This course will enable life science practitioners with no prior experience in building AI-driven applications to leverage their subject matter expertise and existing capabilities around data and statistical models - in tandem with easily accessible support and resources - to design and execute their first AI project. You will understand how AI has impacted the traditional data lifecycle, master the basics of the AI lifecycle, develop a comprehensive understanding of the contemporary AI landscape, and explain how each major type of AI model is applicable to life sciences.

Luis SerranoDeepLearning.AI

In this specialization, you will gain a deep understanding of the mathematical principles that underpin machine learning algorithms. You will learn how to apply statistical techniques to enhance your data analysis, and acquire skills that are highly sought after by employers. By the end of the course, you will be able to implement and optimize machine learning algorithms, making you a valuable asset in the field of AI and data science.

Chi WangDeepLearning.AI

In AI Agentic Design Patterns with AutoGen, you will learn to build and customize multi-agent systems, enabling agents to take on different roles and collaborate to accomplish complex tasks using AutoGen. You will create various projects, including a two-agent chat, a customer onboarding experience, a high-quality blog post, a conversational chess game, and a coding agent for financial analysis. By the end of the course, you will have a solid understanding of agentic design patterns and be ready to implement multi-agent systems effectively.

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.