Abby MorganDeepLearning.AI

In this course, you will learn to prompt various vision models such as Meta’s Segment Anything Model (SAM), OWL-ViT, and Stable Diffusion 2.0. You will explore techniques like image generation, image segmentation, object detection, and in-painting. Additionally, you will learn to fine-tune diffusion models using DreamBooth and track your experiments with Comet. This hands-on course is designed to help you get started with prompting vision models and enhance your image generation capabilities.

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.

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.

Amit SanganiDeepLearning.AI

In this course, you will explore the Llama 4 models, learning how to utilize their Mixture-of-Experts architecture for efficient application development. You'll gain practical experience with image reasoning, image grounding, and long-context text processing. The course also covers prompt optimization and synthetic data creation, equipping you with the skills to build production-ready features that span text, images, and massive context. By the end, you'll be able to confidently choose and implement the right Llama 4 model for your projects.

Jorden WoodsMaven

Unlock the power of GenAI tailored to your business. This course covers AI basics, the latest techniques, and responsible AI frameworks. Gain hands-on experience in a guided workshop with both tech and non-tech tracks. Learn to design and build custom GenAI models for greater efficiency, accuracy, safety, privacy, security, and compliance. Enhance your competitive edge with domain-specific datasets and proprietary algorithms.

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.

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 course, you will gain a comprehensive understanding of AI technologies and their applications. You will learn about the workflow of machine learning and data science projects, AI terminology, and strategies for building AI projects. Additionally, you will explore the societal impact of AI, including issues like bias and job displacement. This course is ideal for non-technical business professionals, machine learning engineers, and data scientists looking to build a sustainable AI strategy.

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.

Sharon ZhouDeepLearning.AI

In this course, you will learn to improve the accuracy of LLM applications by understanding development steps from evaluation to fine-tuning. You will explore memory tuning to enhance model performance and use the Llama 3-8b model to build an LLM application that converts text to SQL. The course covers prompt engineering, self-reflection, and fine-tuning techniques like LoRA and memory tuning to reduce hallucinations.

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.

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.

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.

Apolinário PassosDeepLearning.AI

In this course, you will learn how to create and demo machine learning applications quickly using Gradio. You will build your own image generation, image captioning, and text-summarization apps. Additionally, you will learn to share your app with teammates, beta testers, and more on Hugging Face Spaces. By the end of the course, you will have the skills to rapidly build interactive apps and demos to validate your project and ship faster.

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.

Ritesh VajariyaMaven

Through hands-on projects and expert guidance, you'll master the art of prompt engineering, enabling you to effectively communicate with and guide LLMs to achieve desired outcomes. You'll explore cutting-edge techniques like Retrieval Augmented Generation (RAG) and fine-tuning, empowering you to build sophisticated AI systems that can process and generate human-like text. As you progress through the course, you'll develop the skills to create agentic systems that can autonomously perform complex tasks and make intelligent decisions. You'll also learn best practices for deploying and monitoring LLM applications in production environments, ensuring scalability and reliability. By the end of this course, you'll have a robust portfolio of Generative AI projects showcasing your ability to leverage LLMs for various engineering applications. You'll be equipped with the knowledge and practical experience needed to drive innovation in your organization and make a significant impact in the field of AI engineering.

Amit SanganiDeepLearning.AI

Join our new short course, Introducing Multimodal Llama 3.2, and learn from Amit Sangani, Senior Director of AI Partner Engineering at Meta, about the latest additions to the Llama models 3.1 and 3.2. Discover the new vision capabilities, tool-calling, and Llama Stack, an open-source orchestration layer for building on top of the Llama family of models. Start building exciting applications on Llama!

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.

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 exercises like building a social media agent and using Pydantic for defining structured outputs. By the end, you'll be equipped with the skills to implement structured outputs in your LLM applications, enhancing your ability to create scalable and efficient software solutions.

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.

Jeremy KirshbaumMaven

In this course, you will master design patterns for AI agents, forecast the AI agent landscape, and build your own agents using state-of-the-art no-code methods. You will create a unique innovation portfolio and gain access to a wealth of resources, including step-by-step instructions, async lectures, training guides, and decision-making worksheets. The course includes interactive live sessions, lifetime access to materials, and personalized support through 1:1 coaching sessions and office hours.

Aurimas GriciūnasMaven

This bootcamp offers a comprehensive journey into AI engineering, focusing on building production-grade AI systems. Participants will learn to design, build, and deploy AI applications using cutting-edge technologies like LLM APIs, vector databases, and AI agent libraries. The course emphasizes practical skills, enabling learners to create a capstone project that demonstrates their ability to solve real-world business challenges.

Apolinário PassosDeepLearning.AI

In this course, you will learn how to create and demo machine learning applications quickly using Gradio. You will build your own image generation, image captioning, and text-summarization apps. Additionally, you will learn to share your app with teammates, beta testers, and more on Hugging Face Spaces. By the end of the course, you will have the skills to rapidly build interactive apps and demos to validate your project and ship faster.

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.