Vijay Janapa ReddiHarvard
In this course, you will delve into the practical applications of TinyML, guided by industry leaders. Learn about the code behind widely-used TinyML devices and explore real-world case studies. The course covers key topics such as Keyword Spotting, Visual Wake Words, Anomaly Detection, and Responsible AI Development, providing you with the skills to deploy TinyML solutions effectively.
Patrick NeemanMaven
In this course, you'll learn how to integrate AI into your design workflow, transforming from AI-curious to AI-empowered. You'll master AI assistant tools, empathy-driven design, and rapid prototyping, while gaining hands-on experience with generative AI platforms. This course will equip you with the skills to accelerate innovation, gain deeper user insights, and foster creative collaborations.
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.
Younes Bensouda MourriDeepLearning.AI
In the Natural Language Processing Specialization, you will learn to use logistic regression, naïve Bayes, and word vectors for sentiment analysis, analogies, and translations. You will also explore dynamic programming, hidden Markov models, and word embeddings for autocorrect, autocomplete, and part-of-speech tagging. Advanced topics include dense and recurrent neural networks, LSTMs, GRUs, and Siamese networks for sentiment analysis, text generation, named entity recognition, and question identification. Finally, you will delve into encoder-decoder, causal, and self-attention models for machine translation, text summarization, question-answering, and chatbot creation.
Ross DawsonMaven
In this transformative course, you will dive deep into the landscape of cognition-enhancing AI, learning how to leverage advanced AI techniques to augment your thinking. You will identify the most impactful use cases for your work and master sophisticated strategies that will take your value creation to new heights. By applying cutting-edge AI-augmented thinking strategies, you will pinpoint the most effective pathways to make smarter decisions, solve problems more creatively, and achieve your goals with greater precision and clarity.
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.
Jason YoongMaven
In this course, you'll learn how to own your career and promote yourself using proven frameworks and tactics. Gain insights into managing your promotion process, building executive sponsorship, and leveraging AI for career advancement. The course includes live sessions, document templates, and peer networking opportunities to ensure you have the tools and support needed to succeed.
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.
Learn how AI applies to real scenarios and workflows.
Mindstone's CEOMindstone
In this intensive weekend course, you'll move from AI curiosity to confidently leading AI-driven projects. With no coding required, you'll build real applications, develop a working prototype, and leave with a concrete plan to implement AI innovations. Benefit from expert guidance, an exclusive network, and a comprehensive implementation playbook.
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.
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.
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.
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.
Dr. Marily NikaMaven
In this course, you will learn how to run teams that integrate AI into your product strategy, work with engineering and ML Ops teams, and navigate the ethical and regulatory issues surrounding AI. The course provides hands-on experience through case studies and practical exercises, simulating real-world scenarios. You will also gain insights from guest speakers who are industry leaders in AI.
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.
Marc SunDeepLearning.AI
In this course, you will implement and customize linear quantization from scratch, studying the tradeoff between space and performance. You will build a general-purpose quantizer in PyTorch to quantize any open source model, compressing model weights from 32 bits to 8 bits and even 2 bits. This course provides the foundation to explore more advanced quantization methods.
Chi WangDeepLearning.AI
In AI Agentic Design Patterns with AutoGen, you will learn to build and customize multi-agent systems, enabling agents to take on different roles and collaborate to accomplish complex tasks using AutoGen. You will create various projects, including a two-agent chat, a customer onboarding experience, a high-quality blog post, a conversational chess game, and a coding agent for financial analysis. By the end of the course, you will have a solid understanding of agentic design patterns and be ready to implement multi-agent systems effectively.
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.
Nikita NamjoshiDeepLearning.AI
In this course, you will explore the properties of word and sentence embeddings and learn how to use them to measure semantic similarity between texts. You will apply text embeddings for tasks such as classification, clustering, and outlier detection. Additionally, you will learn to modify the text generation behavior of an LLM by adjusting parameters like temperature, top-k, and top-p. The course also covers the application of the open-source ScaNN library for efficient semantic search and building a Q&A system by combining semantic search with an LLM.
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.
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.
Mahesh YadavMaven
In this comprehensive course, you'll learn to build production-grade AI agents and create enterprise-ready product requirement documents. The course covers the entire AI ecosystem, focusing on discovery, design, deployment, pricing, and GTM strategies tailored for AI. You'll gain hands-on experience with tools like GCP Vertex AI, Langflow, and Azure Co-pilot Studio, and receive continued support even after the cohort ends.
Germán LeónMaven
In this course, you will learn to design AI solutions that effectively meet user needs, rapidly prototype and iterate AI products using AI/UX design methods, navigate ethical considerations in AI product design, and develop and pitch a comprehensive AI product. 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.
Hamza FarooqMaven
This course provides a laser-focused and in-depth view of real-world GenAI applications, designed for business leaders rather than developers. It emphasizes use case identification, business value assessment, and strategic deployment considerations. You'll learn to build modern GenAI systems from first principles, grounded in real-world constraints like scale, guardrails, multi-agent workflows, and domain-specific adaptation.
