All courses
Rocketseat
In this course, you will explore the fundamentals and advanced techniques of AI, utilizing tools such as Watson Assistant, Dialog Flow, and GPT. The course is designed to provide hands-on experience through professional projects, enabling you to tackle real-world challenges and build a standout portfolio. With personalized support and mentorship, you'll gain the skills needed to excel in the tech industry.
Antje BarthTest Provider
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.
DeepLearning.AI 2
In this course, you will learn key principles of designing effective AI agents and organizing a team of AI agents to perform complex, multi-step tasks. You will apply these concepts to automate six common business processes. By the end of the course, you will have designed several multi-agent systems to assist you in common business processes and studied the key principles of AI agent systems.
Chi WangDeepLearning.AI 2
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. By the end of the course, you will have hands-on experience with AutoGen’s core components and a solid understanding of agentic design patterns, ready to effectively implement multi-agent systems in your workflows.
Harrison ChaseDeepLearning.AI 2
In this course, you will learn to build an agent from scratch using Python and an LLM, and then rebuild it using LangGraph. You will understand the division of tasks between the LLM and the code around it, implement agentic search to retrieve multiple answers in a predictable format, and incorporate persistence in agents for state management. Additionally, you will develop an agent for essay writing, replicating the workflow of a researcher, and learn to incorporate human-in-the-loop into agent systems.
Javier Martí IsasiNuclio Learning
Dive deep into the mechanics and mathematics of neural networks, mastering architectures from multilayer perceptrons to convolutional and recurrent networks. Learn to tackle complex problems using advanced deep learning techniques, preparing you for future roles in AI and deep learning.
Maven
Over four weeks, this online program offers a personalized, interactive learning experience. You'll gain access to step-by-step tutorials, work on real-world projects, and develop skills to integrate AI tools into your daily tasks. The program includes engaging quizzes, a Sandbox for practice, and a personal Coach to guide you.
Andrew NgDeepLearning.AI 2
In this course, you will learn the fundamentals of AI, including its terminology and workflow. You will explore how to build AI projects, understand the roles within an AI team, and learn about the major applications and techniques of AI. Additionally, you will gain insights into the societal impacts of AI, including issues like bias and job displacement.
Andrew NgTest Provider
AI Python for Beginners is designed to help you leverage the power of Python programming, even if your goal isn’t to become a software developer or AI engineer. This four-part course teaches you to code practical AI applications from day one, even if you’ve never programmed before. You’ll learn with support from an AI chatbot that can provide you with immediate feedback, quickly fix bugs, and keep you on track while learning new skills. You’ll gain a foundational understanding of Python while building AI-powered tools like custom recipe generators, smart to-do lists, and vacation planners, and you will learn essential programming concepts such as variables, functions, loops, and data structures.
Javier NavaUniversidad Complutense de Madrid
In this course, you will delve into the revolutionary field of spatial computing, learning how it is reshaping industries such as medicine, education, entertainment, and marketing. You will gain hands-on experience with augmented and virtual reality technologies, understand the integration of AI and machine learning, and explore the future trends in spatial computing. This course is designed to prepare you for the challenges and opportunities in this cutting-edge field.
Antje BarthTest Provider
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, how LLMs are trained, and how fine-tuning enables LLMs to be adapted to various specific use cases. The course also covers empirical scaling laws, state-of-the-art training, tuning, inference tools, and deployment methods to maximize model performance. Additionally, you will discuss the challenges and opportunities that generative AI creates for businesses.
Apolinário PassosDeepLearning.AI 2
In this course, you will learn how to create and demo machine learning applications quickly using Gradio. You will build your own image generation, image captioning, and text-summarization apps. Additionally, you will learn to share your app with teammates, beta testers, and more on Hugging Face Spaces. By the end of the course, you will have the skills to rapidly build interactive apps and demos to validate your project and ship faster.
Huy Nguyen TrieuCFTE
Participants will learn to use project management tools for data-driven decision-making, project plans, meeting notes, and project reports, saving time and improving project performance. The course covers AI-powered techniques for risk management, predictive analytics, and task management, helping professionals stay current, stand out from peers, and maximize their impact within project teams.
Sharon ZhouDeepLearning.AI 2
In How Diffusion Models Work, you will explore the cutting-edge world of diffusion-based generative AI and create your own diffusion model from scratch. Gain deep familiarity with the diffusion process and the models driving it, going beyond pre-built models and APIs. Acquire practical coding skills by working through labs on sampling, training diffusion models, building neural networks for noise prediction, and adding context for personalized image generation. At 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.
Antonio CangianoCEI 10
In this course, you will learn to create chatbots without any programming knowledge using IBM Watson Assistant. You will gain hands-on experience in defining intents, entities, and dialogs, and deploying chatbots on WordPress websites. The course covers advanced features like context variables, slots, and handling digressions, ensuring your chatbot can handle complex interactions gracefully.
Pablo Molina CandelIronhack ES
In this comprehensive AI bootcamp, you'll dive into Python programming, explore essential AI and machine learning libraries, and gain foundational insights into NLP and machine learning. You'll also learn advanced prompt engineering techniques and develop your own chatbot, all while receiving real-time support and career guidance.
