Agentic AI

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.

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

This course provides a deep understanding of the longevity landscape and older adult demographic. You will learn foundational knowledge of the age 50+ demographic, how to approach product usability for specific audiences, and a system for ideation to production. The course also covers an age-inclusive framework, AI-enabled tasks for persona and product personalization, and best practices for conversational AI design.

Allie K. MillerMaven

This course offers a well-rounded approach to AI learning, tailored specifically for business leaders and executives. You'll learn how to contextualize AI into your business, find and prioritize AI use cases, and deploy AI responsibly. The course includes real-world tactics for AI execution, change management strategies, and insights into building an AI-focused culture. Benefit from the wisdom of world-class guest speakers and gain practical advice to enhance your organization's skills.

Dr. Nancy LiMaven

In this bootcamp, you will lead a team of AI engineers, data scientists, and designers to build and launch a real AI product. You'll learn AI product strategy, validate user pain points, design and prototype with experts, and launch your product publicly. The course provides resume help, job referrals, and the opportunity to apply for seed funding and incubators.

Sebastian WitalecDeepLearning.AI

This course provides a comprehensive understanding of building multimodal search and RAG systems, focusing on the integration of various data types like text, images, and video into AI models. You will learn about contrastive learning for training multimodal models, visual instruction tuning, and the implementation of multi-vector recommender systems that enhance the capabilities of AI applications in industry settings.

Miguel AmigotedX

In this course, you will gain a deep understanding of ChatGPT's capabilities and limitations, including its use cases in data, coding, and tech. You will develop proficiency in using ChatGPT for generating code programmatically, from ideation to testing and debugging. Explore the applications of ChatGPT in architecture and design, code rewriting, and other areas of programming. Learn how to integrate ChatGPT into your programming workflow and leverage its human-like conversation capabilities to enhance productivity.

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.

Amir Feizpour, PhDMaven

In this comprehensive bootcamp, you'll learn to build multi-agent applications using LLM systems. Through a structured 3-sprint approach, you'll design, develop, and deploy an MVP, gaining insights into AI agent workflows, tool integration, and system security. Benefit from 1:1 mentorship, live sessions, and a community of peers to support your learning journey.

Mahesh YadavMaven

Drawing from Mahesh Yadav's extensive experience in AI/ML product management at leading companies like Facebook, AWS, and Google, this course addresses the critical gap in understanding AI/PM product basics and technical concepts. It includes hands-on labs to build your AI product portfolio, practical lab sessions, and effective product requirement documents (PRDs). The course prepares you for real-life interview settings and your AI PM career.

Hamza FarooqMaven

This course is designed to introduce you to Large Language Models in deeper detail, covering Transformer Architecture and how to utilize Encoder and Decoder Models. You will learn to build retrieval systems and utilize Open Source LLMs to create RAG-based architectures. By the end of the course, you will have a comprehensive understanding of the end-to-end machine learning pipeline, enabling you to tackle practical machine learning problems and deliver results in production.

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.

Manisha AroraMaven

This course offers a dynamic blend of technical expertise and real-world business challenges. Through a series of interactive sessions, discussions, and hands-on projects, you will learn how to scope machine learning projects effectively, lead discussions with stakeholders, navigate the entire data science workflow from data exploration to model deployment, and communicate project insights and business impact to stakeholders.

Sebastian WitalecDeepLearning.AI

In this course, you will gain the knowledge to make informed decisions about when to apply vector databases to your applications. You will explore how to use vector databases and LLMs to gain deeper insights into your data, build labs that show how to form embeddings, and use several search techniques to find similar embeddings. Additionally, you will explore algorithms for fast searches through vast datasets and build applications ranging from RAG to multilingual search.

Andrew NgDeepLearning.AI

AI Python for Beginners is designed to help you leverage the power of Python programming, even if your goal isn’t to become a software developer or AI engineer. This four-part course teaches you to code practical AI applications from day one, even if you’ve never programmed before. You’ll learn with support from an AI chatbot that can provide you with immediate feedback, quickly fix bugs, and keep you on track while learning new skills. You’ll gain a foundational understanding of Python while building AI-powered tools like custom recipe generators, smart to-do lists, and vacation planners, and you will learn essential programming concepts such as variables, functions, loops, and data structures.

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.