Jiantao JiaoDeepLearning.AI

In this course, you will learn two critical skills for building applications with LLMs: function-calling and structured data extraction. You will work with NexusRavenV2-13B, an open-source model fine-tuned for these tasks. The course covers forming prompts with function definitions, using LLM responses to call functions, handling multiple function calls, and building applications that process customer service transcripts. These skills will enable you to create advanced AI agents and assistants for various real-world applications.

Ritesh VajariyaMaven

Through hands-on projects and expert guidance, you'll master the art of prompt engineering, enabling you to effectively communicate with and guide LLMs to achieve desired outcomes. You'll explore cutting-edge techniques like Retrieval Augmented Generation (RAG) and fine-tuning, empowering you to build sophisticated AI systems that can process and generate human-like text. As you progress through the course, you'll develop the skills to create agentic systems that can autonomously perform complex tasks and make intelligent decisions. You'll also learn best practices for deploying and monitoring LLM applications in production environments, ensuring scalability and reliability. By the end of this course, you'll have a robust portfolio of Generative AI projects showcasing your ability to leverage LLMs for various engineering applications. You'll be equipped with the knowledge and practical experience needed to drive innovation in your organization and make a significant impact in the field of AI engineering.

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.

Milan CucukMaven

In this immersive course, you'll learn how to write a story, turn it into a script, create a storyboard, and produce a visually stunning AI short film or trailer. You'll use tools like Midjourney for storyboarding, Runway for generating footage, and Eleven Labs for creating lifelike voices. By the end of the course, you'll have a completed script, an AI-enhanced storyboard, an AI short film or trailer, and an electronic press kit to attract attention and talent to your AI Cinema.

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.

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.

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.

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.

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.

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.

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.

Travis AddairDeepLearning.AI

In this course, you will learn how auto-regressive large language models generate text one token at a time. You will implement the foundational elements of a modern LLM inference stack in code, including KV caching, continuous batching, and model quantization, and benchmark their impacts on inference throughput and latency. You will explore the details of how LoRA adapters work and learn how batching techniques allow different LoRA adapters to be served to multiple customers simultaneously. Get hands-on with Predibase’s LoRAX framework inference server to see these optimization techniques implemented in a real-world LLM inference server. Knowing more about how LLM servers operate under the hood will greatly enhance your understanding of the options you have to increase the performance and efficiency of your LLM-powered applications.

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.

Sean BarnesDeepLearning.AI

This comprehensive program equips you with the skills to manage the entire data lifecycle, from defining problems to delivering insights. You'll learn foundational analysis and visualization, statistical techniques, Python for automation, and data extraction from various sources. The course also covers AI integration in analytics, preparing you for the growing demand in data-centric roles.

Laurence MoroneyDeepLearning.AI

In this hands-on, four-course Professional Certificate program, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow. After finishing this program, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. This program can help you prepare for the Google TensorFlow Certificate exam and bring you one step closer to achieving the Google TensorFlow Certificate.

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.

Andreas KolleggerDeepLearning.AI

In this course, you will learn the basics of how knowledge graphs store data using nodes and edges, use Neo4j’s query language Cypher to retrieve information, add a vector index to a knowledge graph, and build a knowledge graph of text documents from scratch. You will also explore advanced techniques for connecting multiple knowledge graphs and using complex queries for comprehensive data retrieval. By the end of the course, you will be well-equipped to use knowledge graphs to uncover deeper insights in your data and enhance the performance of LLMs with structured, relevant context.

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.

Manisha AroraMaven

This course offers a dynamic blend of technical expertise and real-world business challenges. Through a series of interactive sessions, discussions, and hands-on projects, you will learn how to scope machine learning projects effectively, lead discussions with stakeholders, navigate the entire data science workflow from data exploration to model deployment, and communicate project insights and business impact to stakeholders.

Josh StarmerDeepLearning.AI

Dive deep into the attention mechanism that revolutionized AI with transformers. This course, taught by Josh Starmer, covers the evolution of attention, the role of Query, Key, and Value matrices, and the differences between self-attention and masked self-attention. Gain hands-on experience coding these concepts in PyTorch, and understand how they contribute to building scalable AI applications.

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.

Sharon ZhouDeepLearning.AI

In 'How Diffusion Models Work', you will explore the cutting-edge world of diffusion-based generative AI. This course will teach you to build a diffusion model from scratch, gain deep familiarity with the diffusion process, and acquire practical coding skills through labs on sampling, training diffusion models, building neural networks for noise prediction, and adding context for personalized image generation. By the end of the course, you will have a model that can serve as a starting point for your own exploration of diffusion models for your applications.

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.

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.