João MouraDeepLearning.AI

In this course, you will learn to build agents that collaborate in complex workflows, integrating external tools and using different models to handle specific tasks efficiently. You will evaluate and enhance your agents by conducting performance tests and providing human feedback to train and optimize their performance. The course covers creating multi-agent systems to automate tasks such as project planning, lead scoring, data reporting, and large-scale content creation.

Sharon ZhouDeepLearning.AI

In this course, you will learn to improve the accuracy of LLM applications by understanding development steps from evaluation to fine-tuning. You will explore memory tuning to enhance model performance and use the Llama 3-8b model to build an LLM application that converts text to SQL. The course covers prompt engineering, self-reflection, and fine-tuning techniques like LoRA and memory tuning to reduce hallucinations.

Vasudev LalDeepLearning.AI

In this course, you will delve into the fascinating realm of Multimodal RAG, learning how to effectively chat with videos. The course offers a comprehensive understanding of generative AI, supported by practical code examples and video lessons. Designed for intermediate learners, it provides a unique opportunity to expand your AI knowledge and skills.

Jerry LiuDeepLearning.AI

Join our new short course and learn from Jerry Liu, co-founder and CEO at LlamaIndex, to start using agentic RAG, a framework designed to build research agents skilled in tool use, reasoning, and decision-making with your data. You will build various types of agents, including a router agent for Q&A and summarization tasks, and a research assistant agent capable of handling multiple documents. This course will enhance your ability to engage with and analyze your data comprehensively.

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.

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.

Jorden WoodsMaven

Unlock the power of GenAI tailored to your business. This course covers AI basics, the latest techniques, and responsible AI frameworks. Gain hands-on experience in a guided workshop with both tech and non-tech tracks. Learn to design and build custom GenAI models for greater efficiency, accuracy, safety, privacy, security, and compliance. Enhance your competitive edge with domain-specific datasets and proprietary algorithms.

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.

Bernease HermanDeepLearning.AI

In this course, you will explore new metrics and best practices to monitor your LLM systems and ensure safety and quality. You will learn to identify hallucinations, detect jailbreaks, and identify data leakage. Additionally, you will build your own monitoring system to evaluate app safety and security over time. By the end of the course, you will be able to identify common security concerns in LLM-based applications and customize your safety and security evaluation tools.

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.

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.

Carey PhelpsDeepLearning.AI

In this course, you will learn to instrument a Jupyter notebook, manage hyperparameter configurations, log run metrics, collect artifacts for dataset and model versioning, and log experiment results. Additionally, you will learn to trace prompts and responses to LLMs over time in complex interactions. By the end of the course, you will have a systematic workflow to boost your productivity and accelerate your journey toward breakthrough results.

Miguel AmigotedX

In this course, you will gain a deep understanding of ChatGPT's capabilities and limitations, including its use cases in data, coding, and tech. You will develop proficiency in using ChatGPT for generating code programmatically, from ideation to testing and debugging. Explore the applications of ChatGPT in architecture and design, code rewriting, and other areas of programming. Learn how to integrate ChatGPT into your programming workflow and leverage its human-like conversation capabilities to enhance productivity.

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 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.

Ritesh VajariyaMaven

This course empowers you to lead the AI revolution in your organization. It bridges the gap between technical knowledge and strategic leadership, positioning you at the forefront of the AI evolution. You'll explore AI's essence, its real-world applications, and its business-revolutionizing potential. Equip yourself to spearhead AI initiatives, make informed decisions, and champion ethical AI use.

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.

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.

Jeremy KirshbaumMaven

In this course, you will master design patterns for AI agents, forecast the AI agent landscape, and build your own agents using state-of-the-art no-code methods. You will create a unique innovation portfolio and gain access to a wealth of resources, including step-by-step instructions, async lectures, training guides, and decision-making worksheets. The course includes interactive live sessions, lifetime access to materials, and personalized support through 1:1 coaching sessions and office hours.

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.

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.

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.

Maria KhalusovaDeepLearning.AI

In this course, you will learn to select open source models from Hugging Face Hub to perform various tasks using the transformers library. You will package your code into a user-friendly app that can run on the cloud using Gradio and Hugging Face Spaces. The course covers tasks such as turning a small language model into a chatbot, translating languages, summarizing documents, converting audio to text, and more. By the end of the course, you will have the building blocks to create your AI-enabled applications.

Sophia YangDeepLearning.AI

In this course, you’ll access Mistral AI’s collection of open source and commercial models, including the Mixtral 8x7B model, and the latest Mixtral 8x22B. You’ll learn about selecting the right model for your use case, and get hands-on with features like effective prompting techniques, function calling, JSON mode, and Retrieval Augmented Generation (RAG). By the end of this course, you’ll be equipped to leverage Mistral AI’s leading open source and commercial models.