Agentic AI

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.

Derya IslerMaven

In this comprehensive course, you will learn key AI technologies and their applications, the AI product development process, and the role of AI Product Managers. You will gain skills to collaborate with technical teams and integrate AI strategies with business goals. Additionally, you will learn strategies to start a successful career in AI product management. The course includes interactive live sessions, lifetime access to course materials, in-depth lessons, direct access to the instructor, projects to apply learnings, guided feedback, and a private community of peers.

Julio ColomerUdemy

In this Bootcamp, you will delve into the world of Generative AI and LLM Applications, learning to build professional-level applications and manage LLMOps. The course covers AI's impact on businesses, startups, and employment, and provides practical skills in app development using tools like Cursor AI. By the end, you'll be equipped to introduce AI into your business, create AI startups, and expand your professional opportunities in the AI field.

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.

Ed DonnerUdemy

This course offers a comprehensive journey into mastering Generative AI and LLMs over 8 weeks. Learners will engage in hands-on projects, building real-world AI applications using cutting-edge models and frameworks. The course covers advanced techniques such as RAG, QLoRA, and Agents, providing step-by-step instructions and practical exercises. Designed for learners at all levels, it focuses on practical application without requiring advanced math, making it accessible and engaging.

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.

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.

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.

Jack CohenMaven

In this course, you'll learn to transform your management style by integrating AI tools and human systems. You'll develop a personal operating system that enhances focus, emotional balance, and team alignment. The course covers building Custom GPTs, mastering delegation, and using AI for feedback and coaching. By the end, you'll be equipped to lead with confidence and inspire growth in your team.

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.

Cecilia ZinitiMaven

This course will give you practical, immediately useful learnings on actual AI prompting with GC AI or general-purpose tools like ChatGPT or Claude. You'll get a great intro to how AI works, then get your hands dirty with an experienced GC and AI expert to help and push you with tips and tricks. You'll be shocked at the quality of AI legal outputs.

Charles PackerDeepLearning.AI

In this course, you will learn to build agentic memory into your applications using the Letta framework. Discover how an LLM agent can act as an operating system to manage memory, autonomously optimizing context use. You'll explore the key ideas behind the MemGPT paper, including the two tiers of memory and how agent states are turned into prompts. By the end, you'll be equipped to create adaptive, collaborative AI agents for tasks like research and HR.

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.

Ofer MendelevitchDeepLearning.AI

This course offers a comprehensive exploration of embedding models, focusing on their architecture and implementation. Participants will learn about word and sentence embeddings, dual encoder models, and the use of contrastive loss to enhance question-answer retrieval applications. The course provides a hands-on approach to understanding the technical concepts behind embedding models, making it ideal for data scientists, machine learning engineers, and NLP enthusiasts.

Andrew NgDeepLearning.AI

In this course, you will learn the fundamentals of generative AI, including its capabilities and limitations. You will explore various AI tools and techniques, and gain hands-on experience with generative AI applications. The course also covers the impact of AI on business and society, providing you with the knowledge to develop effective AI strategies.

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.