Mahesh YadavMaven

In this comprehensive course, you'll learn to build production-grade AI agents and create enterprise-ready product requirement documents. The course covers the entire AI ecosystem, focusing on discovery, design, deployment, pricing, and GTM strategies tailored for AI. You'll gain hands-on experience with tools like GCP Vertex AI, Langflow, and Azure Co-pilot Studio, and receive continued support even after the cohort ends.

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.

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.

Dr. Marily NikaMaven

In this comprehensive workshop, you will learn how to approach AI Product Management interviews with confidence. Dr. Marily Nika will guide you through three main interview themes: Product Sense, Execution/Analytical, and Strategy Insight. You will get the opportunity to practice live in a safe space, gain access to valuable resources, and receive direct feedback from the instructor. This workshop is designed to help you succeed in AI PM interviews, whether you are an aspiring AI PM, a recent graduate, an experienced PM or ML Engineer, or a team lead.

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.

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.

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.

Ross DawsonMaven

In this transformative course, you will dive deep into the landscape of cognition-enhancing AI, learning how to leverage advanced AI techniques to augment your thinking. You will identify the most impactful use cases for your work and master sophisticated strategies that will take your value creation to new heights. By applying cutting-edge AI-augmented thinking strategies, you will pinpoint the most effective pathways to make smarter decisions, solve problems more creatively, and achieve your goals with greater precision and clarity.

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.

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.

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.

Will KurtDeepLearning.AI

In this course, you will gain a comprehensive understanding of structured outputs and their significance in software development. You will learn to generate structured outputs using APIs, re-prompting libraries, and constrained decoding. The course includes practical applications like building a social media agent and using Pydantic for defining structured outputs. By the end, you will be equipped with the knowledge to implement structured outputs in your LLM applications, enhancing your ability to develop scalable and efficient software solutions.

Antje BarthDeepLearning.AI

This course provides a comprehensive understanding of generative AI, covering key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection to performance evaluation and deployment. You will learn about the transformer architecture, empirical scaling laws, and state-of-the-art training, tuning, inference, tools, and deployment methods. The course also discusses the challenges and opportunities that generative AI creates for businesses, with insights from industry researchers and practitioners.

Andrew NgDeepLearning.AI

In this Machine Learning in Production course, you will build intuition about designing a production ML system end-to-end: project scoping, data needs, modeling strategies, and deployment patterns and technologies. You will learn strategies for addressing common challenges in production like establishing a model baseline, addressing concept drift, and performing error analysis. You’ll follow a framework for developing, deploying, and continuously improving a productionized ML application.

Josh StarmerDeepLearning.AI

In this course, you will delve into the attention mechanism, a key component of transformers, and learn how to implement it using PyTorch. You'll explore the relationships between word embeddings, positional embeddings, and attention, and understand the roles of Query, Key, and Value matrices. The course covers self-attention, masked self-attention, and cross-attention, providing a comprehensive understanding of how these concepts are incorporated into transformers. By the end, you'll be equipped with the knowledge to build reliable and scalable AI applications.

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.

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.

Jiantao JiaoDeepLearning.AI

In this course, you will learn two critical skills for building applications with LLMs: function-calling and structured data extraction. You will work with NexusRavenV2-13B, an open-source model fine-tuned for these tasks. The course covers forming prompts with function definitions, using LLM responses to call functions, handling multiple function calls, and building applications that process customer service transcripts. These skills will enable you to create advanced AI agents and assistants for various real-world applications.

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.

Robert MonarchDeepLearning.AI

In this specialization, you will master a step-by-step framework for developing AI projects. You will analyze data and build AI models for projects focused on air quality, wind energy, biodiversity monitoring, and disaster management. Through real-world case studies, you will explore public health, climate change, and disaster management, and develop practical skills to make a positive impact using AI.

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.

Vijay Janapa ReddiHarvard

In this course, you will delve into the practical applications of TinyML, guided by industry leaders. Learn about the code behind widely-used TinyML devices and explore real-world case studies. The course covers key topics such as Keyword Spotting, Visual Wake Words, Anomaly Detection, and Responsible AI Development, providing you with the skills to deploy TinyML solutions effectively.

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.

edX LearningedX

This course will help you better understand AI and how you can more effectively interact with it. Learn to craft AI prompts to avoid AI hallucinations, use examples and data in your prompts, and utilize key words to improve AI responses.