Rocketseat
In this course, you will learn to develop native mobile applications using React Native and Expo. The course offers a hands-on approach, allowing you to build a complete app for managing links. You'll explore modern mobile development tools and functionalities, gaining skills that are essential for a career in mobile app development.
Rocketseat
In this comprehensive course, you will learn how to develop a complete e-commerce API using Python and Flask. The course covers creating routes, integrating databases, implementing user authentication, and developing essential functionalities such as product listing, adding items to a cart, and checkout. This hands-on project is perfect for those looking to build a strong foundation in web development with Flask and start creating real-world applications.
Rocketseat
In this course, you will explore the fundamentals of Go, a programming language developed by Google. You will learn about installation, main functions, modules, and variables. The course covers basic data types, control flows, and iteration techniques. You will also delve into structs, functions, and methods to structure your programs effectively. Finally, the course introduces concurrency concepts with goroutines and channels, showcasing Go's efficient handling of simultaneous execution.
Massimo TartariniNuclio Learning
This course provides a deep understanding of customer-centric strategies, collaborative work with various company departments, agile methodologies, and practical strategies for product market introduction. You will learn to identify and address customer needs, creating products that deliver real value.
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.
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.
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.
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.
Learn how AI applies to real scenarios and workflows.
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.
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.
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.
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.
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.
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.
Rocketseat
In this course, you will explore the fundamentals of Go, a programming language developed by Google. You will learn about installation, main functions, modules, and variables. The course covers basic data types, control flows, and iteration techniques. You will also delve into structs, functions, and methods to structure your programs effectively. Finally, the course introduces concurrency concepts with goroutines and channels, showcasing Go's efficient handling of simultaneous execution.
Rocketseat
In this course, you will learn to develop native mobile applications using React Native and Expo. The course offers a hands-on approach, allowing you to build a complete app for managing links. You'll explore modern mobile development tools and functionalities, gaining skills that are essential for a career in mobile app development.
Rocketseat
In this comprehensive course, you will learn how to develop a complete e-commerce API using Python and Flask. The course covers creating routes, integrating databases, implementing user authentication, and developing essential functionalities such as product listing, adding items to a cart, and checkout. This hands-on project is perfect for those looking to build a strong foundation in web development with Flask and start creating real-world applications.
Massimo TartariniNuclio Learning
In this comprehensive course, you will delve into customer-centric strategies, agile methodologies, and digital marketing principles. Learn to identify and address customer needs, collaborate across departments, and implement agile practices to adapt to business challenges. By the end of the course, you will be prepared to lead teams, drive product success, and advance your career in product management.
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.
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.
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.
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.
