Aman KhanMaven
In this course, you'll learn to build and deploy functional AI agents, define AI roadmaps, and evaluate AI product performance with robust metrics. You'll gain hands-on experience in prototyping, collaborating with AI engineers, and developing AI product strategies. This course is designed for PMs looking to transition from understanding AI concepts to shipping successful AI products.
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.
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.
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.
Jess GoldbergMaven
In this course, you'll gain a comprehensive understanding of how to transform your job search into a strategic plan. You'll learn to craft a step-by-step strategy that leads to interviews and offers, optimize your first impression, and master the art of negotiation. The course also covers networking techniques and the use of AI tools to enhance your career prospects.
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.
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.
Assel Mussagaliyeva-TangMaven
In this comprehensive 12-week program, you will learn essential skills to break into the tech industry, including CV building, portfolio development, personal branding, and human-centric skills. The course features weekly live classes with industry experts, mentorship sessions, and practical projects. You will also have the opportunity to participate in the AI for Good Hackathon and BiT APAC Career Accelerator, which can help you secure a tech job. The program is designed to be inclusive and personalized, with a focus on soft skills micro-learning using GenAI and gamification techniques.
Learn how AI applies to real scenarios and workflows.
Elie SchoppikDeepLearning.AI
In this course, you will explore the Model Context Protocol (MCP) and its role in standardizing AI application development. Learn to build and deploy MCP servers, create MCP-compatible applications, and connect AI applications to external systems. By the end, you'll be equipped to develop AI applications with rich context and minimal integration work.
Rav AhujaCoursera
This specialization provides a thorough introduction to AI, covering its applications, use cases, and impact across industries. Learners will explore key concepts such as Machine Learning, Deep Learning, and Neural Networks, and gain practical experience by building and deploying an AI-enabled chatbot without coding. The course also covers IBM Watson AI services and the creation of intelligent virtual assistants, equipping learners with the skills needed to leverage AI in various scenarios.
Div GargDeepLearning.AI
In this course, you'll delve into the world of AI browser agents, learning how they automate online tasks and the decision-making strategies they employ. You'll build agents that can scrape websites, fill out forms, and more, using the AgentQ framework to enhance their capabilities. By the end, you'll have a solid understanding of AI agents' current state and future directions.
Isa FulfordDeepLearning.AI
In Building Systems with the ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model. You will build chains of prompts that interact with the completions of prior prompts, systems where Python code interacts with both completions and new prompts, and a customer service chatbot using all the techniques from this course. This course is beginner-friendly and includes hands-on examples with built-in Jupyter notebooks for seamless experimentation.
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.
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.
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.
James GrayMaven
In this comprehensive course, you'll master AI assistants, build AI workflows, and create multi-agent systems to automate tasks and achieve outcomes. Gain hands-on experience with cutting-edge AI tools and learn to integrate AI into your work and business, enhancing your productivity and impact.
Xinran MaMaven
In this course, you will learn how to apply AI throughout the design process, from initial ideas to polished wireframes. You will delve into detailed case studies showcasing AI integrations in product design, engage in targeted workshops, and gain access to exclusive AI resources and toolkits. The course also includes continuous support and a vibrant community of like-minded professionals.
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.
Maaike GroenewegeMaven
This course provides a comprehensive introduction to designing Generative AI applications with a focus on user-centered design. You'll learn about the three core components of a well-designed GenAI application: prompts, workflows, and retrieval augmented generation. The course includes theory, hands-on projects, and the use of various GenAI tools. You'll also have the opportunity to connect with other professionals in the field and learn together in small, interactive groups.
Heidi CulbertsonMaven
In this course, you will learn how to design world-class bots by understanding conversation across the lifespan. You will explore how human communication evolves as we grow up and how to apply this knowledge to create usable conversational products. The course covers developing use cases, applying linguistics and cognition knowledge, training bots, crafting responses, prototyping, and usability testing. By the end of the course, you will have actionable knowledge, frameworks, and techniques to design better bots.
Chris ButlerMaven
This course dives into the new paradigms and frameworks product leaders and designers are using to incorporate AI into their products. Through case studies, live workshops, and projects, you will learn to apply ethical, bias, fairness, and other guardrails to AI/ML products. The course features real examples from GitHub, Google, Cognizant, and Facebook Reality Labs’ Portal device.
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.
Ammaar ReshiMaven
In this practical course, you'll master AI tools to tell your own stories and share them with the world. You'll learn to work with GPT for storytelling, use AI image generation tools to create illustrations, and prepare your content for publishing. By the end of the course, you'll be a published author with your own paperback book to share with family, friends, and the internet.
