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.
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.
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.
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.
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.
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.
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, 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.
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.
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.
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 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 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.
Javier Martin De Agar TiradoIEBS Digital School 7
This postgraduate program equips you with the necessary skills to function effectively as a Product Manager or Product Owner. You will learn to apply Design Thinking, Scrum, UX, Prototyping, Customer Development, and KPI Measurement to create and manage successful digital products.
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.
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.
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.
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.
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.
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.
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.
