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.

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.

Amit SanganiDeepLearning.AI

In this course, you will learn best practices for prompting and selecting among the Llama 2 & 3 models by using them as a personal assistant to help you complete day-to-day tasks. You will experiment with advanced prompt engineering techniques, like few-shot prompting to get Llama 2 to classify the sentiment of text messages, and chain-of-thought prompting to solve logic problems. You will also treat Code Llama as a pair programming partner to both learn to write and improve code. Additionally, you will promote safe and responsible use of LLMs by having Llama Guard check user prompts and model responses for harmful content.

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.

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.

Dr. Nancy LiMaven

In this bootcamp, you will lead a team of AI engineers, data scientists, and designers to build and launch a real AI product. You'll learn AI product strategy, validate user pain points, design and prototype with experts, and launch your product publicly. The course provides resume help, job referrals, and the opportunity to apply for seed funding and incubators.

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.

Sara DavisonMaven

In this course, you will learn essential AI fundamentals for business growth, key AI concepts, platforms, and tools, and how to create and use a Business Second Brain. You'll also learn the fundamentals of prompt engineering, advanced techniques for multi-step workflows, and strategies to align AI-generated content with your brand voice. By the end of the course, you'll be able to identify AI opportunities within your business, craft effective prompts, build and prepare an AI assistant for deployment, and integrate AI assistants with your knowledge base.

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.

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.

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.

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.

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.

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.

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.

John MaedaDeepLearning.AI

In this course, you’ll learn how to use and create with Microsoft’s open source orchestrator, Semantic Kernel. Along the way, you’ll gain skills in getting the most out of LLMs, developing prompts, semantic functions, vector databases, and using an LLM for planning. By the end of the course, you will be able to develop sophisticated business applications using LLMs, leverage common LLM building blocks, and utilize the open source orchestrator, Semantic Kernel, in your applications.

Nikita NamjoshiDeepLearning.AI

In this course, you will learn to retrieve real-time data on global energy mixes and carbon intensity from the ElectricityMaps API. You'll identify power grids that produce electricity from low-carbon sources and run machine learning training jobs using low-carbon electricity. The course will also cover analyzing the carbon footprint of Google Cloud usage data and using the Google Cloud Carbon Footprint tool. By the end, you'll be equipped to make more sustainable decisions in your development processes.

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.

Adrian Gonzalez SanchezDeepLearning.AI

In Building Your Own Database Agent, you will learn to interact with tabular data and SQL databases using natural language, enabling more efficient and accessible data analysis. You will gain hands-on experience with the Azure OpenAI Service, implementing techniques like Retrieval Augmented Generation (RAG) and function calling. By the end of the course, you’ll be equipped with the technical knowledge and practical experience to implement similar systems in your own projects or organizations, enabling more efficient and accessible data interaction and analysis.

Manish GuptaMaven

In this course, you will learn to curate an AI toolkit designed for your goals, craft effective prompts for AI models, create customized models for unique needs, analyze financial statements and big data, manage your finance team effectively, and create strategic plans through market research and analysis. The course includes interactive live sessions, lifetime access to course materials, 15 in-depth lessons, direct access to the instructor, 7 projects to apply learnings, guided feedback, and a private community of peers.

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.

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.

Ben ErezMaven

In this course, you'll learn to master interview frameworks for Product Sense and Analytical Thinking, stand out with structured thinking, and practice like it's real with hands-on experience. You'll build interview confidence, level up your communication skills, and gain direct access to expert coaching and feedback.

Michael HirschMaven

This intensive 3-week program is designed for product leaders at all stages of their AI journey. Learn to navigate AI-driven landscapes, make strategic AI decisions, and lead teams through AI transformations. Gain hands-on experience with essential AI tools and frameworks, and develop AI-driven leadership skills to advance your career.