All courses
Harrison ChaseDeepLearning.AI
In this course, you will delve into the fundamentals of data loading, document splitting, vector stores, and embeddings. You will learn advanced techniques for data retrieval and build a one-pass question-answering solution. By the end of the course, you will be able to create a chatbot that interacts with data using LangChain and LLMs.
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.
Amit RawalMaven
By the end of the course, you'll become adept at using AI to turn 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 that were previously unimaginable. You’ll get step-by-step guidance and 50+ prompts to go from identifying the right questions to weaving data into an impactful narrative.
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.
Sharon ZhouDeepLearning.AI
Join our new short course, Finetuning Large Language Models! Learn from Sharon Zhou, Co-Founder and CEO of Lamini, and instructor for the GANs Specialization and How Diffusion Models Work. When you complete this course, you will be able to understand when to apply finetuning on LLMs, prepare your data for finetuning, and train and evaluate an LLM on your data. Finetuning allows the model to learn style, form, and can update the model with new knowledge to improve results.
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.
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.
Rob LennonMaven
In AI Content Reactor 3.0, you will learn advanced AI prompting techniques that surpass traditional methods. The course covers a range of concepts from basic to advanced, ensuring you can create high-quality content efficiently. You'll gain access to ready-made prompt templates, live workshops, and a private community of peers. By the end of the course, you'll be able to customize AI workflows to your needs and produce content that resonates with your audience.
Sandi BesenDeepLearning.AI
In this course, you will learn to build ACP-compliant agents by wrapping them in an ACP server, launching the server to activate the agents, and making them discoverable by ACP clients. You will explore how to chain ACP-compliant agents in linear and hierarchical workflows and use a router agent to delegate tasks. The course will guide you through importing ACP-compliant agents into a registry for easy discovery and sharing across teams. By the end, you'll be equipped to create agents that can communicate regardless of their frameworks, enhancing collaboration and integration within multi-agent systems.
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.
Isa FulfordDeepLearning.AI
This course teaches you how to efficiently build systems using the ChatGPT API by automating complex workflows. You'll learn to split tasks into a pipeline of subtasks using multistage prompts and evaluate LLM inputs and outputs for safety, accuracy, and relevance. The course includes hands-on examples and Jupyter notebooks for seamless experimentation.
Jay AlammarDeepLearning.AI
In this course, you'll learn how a transformer network architecture that powers LLMs works. You'll build the intuition of how LLMs process text and work with code examples that illustrate the key components of the transformer architecture. By the end of this course, you’ll have a deep understanding of how LLMs process language and you’ll be able to read through papers describing models and understand the details that are used to describe these architectures.
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.
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.
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.
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.
