Agentic AI

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.

João AscensãoOne Month PM

This course covers everything from the basics of AI and data science to advanced product management techniques. You will learn how to frame AI problems, develop AI products, and strategize using data. The course also includes live Q&A sessions with industry leaders, providing practical insights into managing AI-driven products.

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.

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.

Jay AlammarDeepLearning.AI

In this course, you will learn how to implement basic keyword search, enhance it with the rerank method, and use embeddings for dense retrieval. You will gain hands-on practice with large amounts of data and learn to overcome challenges like varying search results and accuracy. By the end of the course, you will be able to implement language model-powered search into your website or project.

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.

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.

Doug TurnbullMaven

In this course, you'll learn how to enhance your search engine's relevance using Large Language Models (LLMs). The course covers query and document understanding, deploying LLMs to production, and making unstructured search structured. You'll gain insights into modern search techniques, helping your team achieve better outcomes faster.

Amit RawalMaven

By the end of this course, you'll be adept at using AI to transform complex data into compelling stories that drive action and impact. You'll learn how AI can augment your analytical capabilities, automate tedious tasks, and provide deeper insights. The course offers step-by-step guidance and over 50 prompts to help you craft impactful narratives using data.

Ishan AnandMaven

This course demystifies AI and teaches you exactly how Large Language Models (LLMs) like GPT-2 work, with no prerequisites beyond a STEM background. Using a unique spreadsheet implementation of GPT-2, we’ll break down each model component with crystal-clear explanations. Gain AI literacy, build a foundation for further AI projects, and confidently lead AI-driven teams.

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.

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.

Colt SteeleDeepLearning.AI

In this course, you will learn about Anthropic's approach to AI research, principles of AI safety, and the key differences between its models. You will gain hands-on experience with API requests, multimodal prompting, and tool use, culminating in a demo that combines these features to build an AI assistant capable of using a computer. This course is perfect for those looking to explore the cutting-edge capabilities of AI models in practical applications.

Emmanuel AcheampongMaven

In this bootcamp, you will go beyond fundamental AI knowledge and apply hands-on technical skills to real-world data problems. You will develop three distinct applications that showcase your diverse skillset in Data Analytics, Computer Vision, and Natural Language Processing. The course includes interactive live sessions, lifetime access to course materials, guided feedback, and a private community of peers.

Sharon ZhouDeepLearning.AI

In this specialization, you will learn to understand GAN components, build basic and advanced GANs using PyTorch, and control your GAN to build conditional GANs. You will compare generative models, use the FID method to assess GAN fidelity and diversity, and learn to detect bias in GANs. Additionally, you will explore GAN applications in data augmentation and privacy preservation, and implement Pix2Pix and CycleGAN for image translation.

Andrew NgDeepLearning.AI

In this specialization, you will learn the foundational concepts of deep learning, build and train neural networks, and apply them to various AI tasks. The program covers neural networks, hyperparameter tuning, convolutional networks, sequence models, and more. By the end, you will have the skills to build and apply deep learning models to real-world problems.