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.

Matthew SpanglerMaven

In this course, you'll learn how to effectively integrate AI into your real estate marketing strategies. From automating repetitive tasks to building a complete marketing campaign, you'll gain hands-on experience with AI tools. The course includes live sessions, video lessons, and bonus materials to ensure you have a robust understanding of AI applications in real estate.

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.

Mahesh YadavMaven

Drawing from Mahesh Yadav's extensive experience in AI/ML product management at leading companies like Facebook, AWS, and Google, this course addresses the critical gap in understanding AI/PM product basics and technical concepts. It includes hands-on labs to build your AI product portfolio, practical lab sessions, and effective product requirement documents (PRDs). The course prepares you for real-life interview settings and your AI PM career.

Jack CohenMaven

In this course, you'll learn to leverage AI tools and human systems to enhance your leadership capabilities. You'll develop a personal operating system to manage your time and priorities effectively, learn to give and receive feedback constructively, and use AI to facilitate difficult conversations. The course includes live sessions, hands-on projects, and a community of peers to support your learning journey.

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.

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 NgCoursera

In this course, you will learn the fundamental concepts of AI, including machine learning, deep learning, and data science. You will explore what AI can realistically achieve and how to identify opportunities to apply AI in your organization. The course also covers the ethical and social implications of AI, providing a well-rounded understanding of the field.

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.

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.

Miguel AmigotedX

In this course, you will explore the capabilities of OpenAI's advanced language model, ChatGPT, and learn how to utilize it for a wide range of applications. You will gain a comprehensive understanding of ChatGPT, its features, and limitations. By the end of the course, you will be able to use ChatGPT for various tasks, such as summarizing and expanding on a topic, building chatbots, and generating creative content.

Frank KaneUdemy

In an era where Machine Learning (ML) and Artificial Intelligence (AI) are revolutionizing industries across the globe, understanding how giants like Google, Amazon, and Udemy leverage these technologies to extract meaningful insights from vast data sets is more critical than ever. Whether you're aiming to join the ranks of top-tier AI specialists or you're driven by the fascinating challenges this field offers, our course is your gateway to an exciting new career trajectory. Designed for individuals with programming or scripting backgrounds, this course goes beyond the basics, preparing you to stand out in the competitive tech industry. Our curriculum, enriched with over 145 lectures and 20+ hours of video content, is crafted to provide hands-on experience with Python, guiding you from the fundamentals of statistics to the cutting-edge advancements in generative AI.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Jay AlammarDeepLearning.AI

In this course, you will 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.

Nikita NamjoshiDeepLearning.AI

In this course, you will gain a conceptual understanding of the RLHF training process, and then practice applying RLHF to tune an LLM. You will explore the two datasets that are used in RLHF training: the 'preference' and 'prompt' datasets. Use the open source Google Cloud Pipeline Components Library to fine-tune the Llama 2 model with RLHF. Assess the tuned LLM against the original base model by comparing loss curves and using the 'Side-by-Side (SxS)' method.