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.

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.

Isa FulfordDeepLearning.AI

This course teaches you how to efficiently build multi-step systems using large language models. You will learn to split complex tasks into a pipeline of subtasks using multistage prompts and evaluate your LLM inputs and outputs for safety, accuracy, and relevance. The course includes hands-on examples and built-in Jupyter notebooks to experiment with the code and prompts presented.

Fábio DuarteGetSmarter

In this course, you will gain a broad perspective on the future of real estate, including disruptions to commercial and residential properties, parking lots, curbsides, warehousing, and last mile delivery. You will understand how AI and self-driving vehicles are transforming the real estate industry and learn to leverage trends in micro-mobility, on-demand mobility, and self-driving vehicles for real estate investment opportunities. The course includes exposure to real city case studies and industry-relevant tools, equipping you with practical skills to navigate the evolving mobility landscape.

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.

Fábio DuarteGetSmarter

In this course, you will gain a broad perspective on the future of real estate, including disruptions to commercial and residential properties, parking lots, curbsides, warehousing, and last mile delivery. You will understand how AI and self-driving vehicles are transforming the real estate industry and learn to leverage trends in micro-mobility, on-demand mobility, and self-driving vehicles for real estate investment opportunities. The course includes exposure to real city case studies and industry-relevant tools, equipping you with practical skills to navigate the evolving mobility landscape.

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.

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.

Karina NguyenDeepLearning.AI

In this course, you'll learn to use OpenAI Canvas to enhance your writing and coding. Discover how to collaborate with ChatGPT for brainstorming, drafting, and refining text or code. Learn to build practical use cases like creating a game app, generating Python code from plot screenshots, and creating SQL databases from architecture images. Understand the model training and design processes that power Canvas.

Britney MullerMaven

In this course, you'll transform AI from a buzzword into your competitive advantage. You'll gain hands-on experience with AI tools and techniques that marketers can apply immediately to improve productivity, streamline campaigns, and create powerful data insights. Every session is designed to help you accomplish real tasks that translate into results, making you a more effective and efficient marketer.

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.

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.

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.

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.

Laurence MoroneyDeepLearning.AI

In this Specialization, you will expand your knowledge of the Functional API and build exotic non-sequential model types. You will learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. You will also explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs.

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.

Amir FeizpourMaven

This course will teach you the core principles of multi-agent LLM systems, how to design and build them, and how to integrate them into existing products. You will learn about optimizing teamwork, managing complex information flow, and ensuring security. By the end of the course, you will be able to design and build robust multi-agent LLM systems that enhance user experience, productivity, and business metrics.

Andrew NgDeepLearning.AI

In this Machine Learning in Production course, you will build intuition about designing a production ML system end-to-end: project scoping, data needs, modeling strategies, and deployment patterns and technologies. You will learn strategies for addressing common challenges in production like establishing a model baseline, addressing concept drift, and performing error analysis. You’ll follow a framework for developing, deploying, and continuously improving a productionized ML application.

Sharon ZhouDeepLearning.AI

In this specialization, you will learn to understand GAN components, build basic and advanced GANs using PyTorch, and control your GAN to build conditional GANs. You will compare generative models, use the FID method to assess GAN fidelity and diversity, and learn to detect bias in GANs. Additionally, you will explore GAN applications in data augmentation and privacy preservation, and implement Pix2Pix and CycleGAN for image translation.

Patrick NeemanMaven

In this course, you'll learn how to integrate AI into your design workflow, transforming from AI-curious to AI-empowered. You'll master AI assistant tools, empathy-driven design, and rapid prototyping, while gaining hands-on experience with generative AI platforms. This course will equip you with the skills to accelerate innovation, gain deeper user insights, and foster creative collaborations.

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.

Richmond AlakeDeepLearning.AI

In this course, you will learn how to use pre-filtering, post-filtering, and projection techniques to optimize query processing and output. You will also explore prompt compression techniques to handle long and expensive prompts in large-scale applications. Additionally, you will learn to combine vector search capabilities with traditional database operations to build efficient and cost-effective RAG applications. This course is ideal for Python developers, database enthusiasts, and AI practitioners looking to enhance their skills in these areas.

Andrew NgDeepLearning.AI

In this Machine Learning in Production course, you will build intuition about designing a production ML system end-to-end: project scoping, data needs, modeling strategies, and deployment patterns and technologies. You will learn strategies for addressing common challenges in production like establishing a model baseline, addressing concept drift, and performing error analysis. You’ll follow a framework for developing, deploying, and continuously improving a productionized ML application.

Sharon ZhouDeepLearning.AI

In this specialization, you will learn to understand GAN components, build basic and advanced GANs using PyTorch, and control your GAN to build conditional GANs. You will compare generative models, use the FID method to assess GAN fidelity and diversity, and learn to detect bias in GANs. Additionally, you will explore GAN applications in data augmentation and privacy preservation, and implement Pix2Pix and CycleGAN for image translation.