AI courses

2016 Courses

Coursera

PyTorch Ultimate 2024 - From Basics to Cutting-Edge

PyTorch Ultimate 2024 - From Basics to Cutting-Edge Embark on a transformative learning experience with our PyTorch Ultimate 2024 course. Begin with a solid foundation, understanding the key topics and objectives, and seamlessly transition through machine learning essentials and deep learning principles. From setting up your environment to master.

Coursera

Craft an AutoGPT Gen AI Instrument with Rust & GPT-4

Craft an AutoGPT Gen AI Instrument with Rust & GPT-4 In this course, you’ll build an advanced AutoGPT code generation tool using Rust and GPT-4. Starting with a solid foundation in Rust, you'll progress from basic syntax to advanced features like concurrency and memory management. As you progress, you’ll dive deeper into Rust’s capabilities, lea.

Coursera

Build and Deploy an Agent with Reasoning Engine in Vertex AI

Build and Deploy an Agent with Reasoning Engine in Vertex AI Engage in this self-paced lab through the Google Cloud console and gain hands-on experience in building and deploying an agent. Learn to utilize the Vertex AI SDK for Python effectively, including working with models, tools, and reasoning. Categories: Artificial Intelligence Cour.

Coursera

Build a DIY Multimodal Question Answering System with Vertex AI

Build a DIY Multimodal Question Answering System with Vertex AI Join this self-paced lab in the Google Cloud console to master building a question answering system capable of understanding both text and images with Vertex AI. Perfect for those interested in Artificial Intelligence, Machine Learning, Computer Vision, and Google Cloud Platform..

Coursera

What are GPTs and How can they work for my business?

What are GPTs and How can they work for my business? This course provides participants with a comprehensive understanding of how custom GPTs can be leveraged for strategic decision-making in business. It begins with an introduction to custom GPTs, explores their diverse applications in business, and delves into real-world examples of usi.

Coursera

Introduction to Vertex AI Embeddings: Text and Multimodal

Introduction to Vertex AI Embeddings: Text and Multimodal Explore the comprehensive world of Vertex AI with our self-paced lab, Introduction to Vertex AI Embeddings: Text and Multimodal. Conducted through the Google Cloud console, this lab provides hands-on experience with the Vertex AI Embeddings API, catering to both Text and Multimodal (Image.

Coursera

Intro to Context Caching with the Gemini API

Intro to Context Caching with the Gemini API Welcome to a self-paced lab designed for the Google Cloud console. This interactive session will guide you through leveraging the Gemini API context caching feature within Vertex AI. Enhance your AI and machine learning skills through practical implementation on Google Cloud..

AWS Skill Builder

Responsible Artificial Intelligence Practices (Traditional Chinese)

負責任的人工智慧實踐 (繁體中文) 在本課程中，您將學習 AI 實踐。首先，將為您介紹什麼是負責任的 AI。您將學習如何定義負責任的 AI、瞭解負責任的 AI 嘗試克服之挑戰，以及探索負責任 AI 的核心維度。然後，您將深入探索一些主題，瞭解開發負責任的 AI 系統。將為您介紹由 AWS 提供，以協助您使用負責任的 AI 之服務和工具。您也將瞭解在為 AI 系統選擇模型和準備資料時，.

AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (Traditional Chinese)

開發生成式人工智慧解決方案 (繁體中文) 在本課程中，您將會探索生成式人工智慧 (生成式 AI) 應用程式生命週期，其中包括以下內容：定義商業使用案例選取基礎模型 (FM) 改善 FM 的效能評估 FM 的效能部署及其對業務目標的影響本課程是生成式 AI 課程的入門，其中深入探討使用提示詞工程、檢索增強生成 (RAG) 和微調來自訂 FM 的相關概念。課程等級：基礎.

Coursera

LangChain MasterClass: Build 15 LLM Apps with Python

LangChain MasterClass: Build 15 LLM Apps with Python Unlock the limitless potential of AI and language-based applications with our LangChain Masterclass. This comprehensive course takes you on a transformative journey through LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guided by industry experts. You'll engage in hands-on projects ranging fro.

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What is AI course and why is it so interesting?

The topic of artificial intelligence course and machine thinking interested scientists even before the invention of computers, and after the advent of computers it reached a new level. In the 1950s and 60s, issues related to the creation and use of artificial intelligence began to be widely discussed in society.

The answer to this question is also difficult to find because there are no clear criteria for the intelligence of a machine. If this is the ability to make logical conclusions, then the computer has long surpassed humans. When it comes to flexibility and originality of thinking, humans are still superior to even the most modern intelligent devices.

AI is actively used in a variety of fields, the list of which is expanding every year, and not only techies, but also humanists—specialists in project management, advertising and PR, psychologists, economists, and linguists—can find their place in this area.

What can artificial intelligence course programs do?

Modern artificial intelligence technologies make it possible to create devices and programs that:

find the maximum possible solutions to one situation; machine intelligence can quickly analyze all options and calculate which one will be the cheapest, safest, and most effective. The machine’s responses will depend on what task a person has given it. For example, AI courses online can show how to calculate which model or product is more profitable to produce based on data on the cost of consumables and sales volumes.

can answer any questions integrated into their system; at the same time, the machine can not only find a ready-made answer in the database, but also search for it using intermediate leading questions that gradually narrow the search area.

collect and process large amounts of information, analyze it, combine unrelated pieces of information; This is how, for example, the image search system works in Google.

Artificial intelligence is a technology not only of the present, but also of the future, and specialists in this field will not have problems finding employment in the next few decades. Huge investments are already being attracted to this area, which means there will be no problems with remuneration for workers involved in the development, production and implementation of the best AI courses technologies from AI Eeducation.

Contribution to science and culture

Artificial intelligence and the creation of intelligent programs and devices is an area in which new discoveries are constantly being made. By working on artificial intelligence, scientists and engineers are at the forefront of world science, moving humanity forward. In addition, the development of artificial intelligence and its introduction into our lives gives rise to many ethical and philosophical questions, the resolution of which requires not a machine mind, but a human mind capable of creative thinking.

Creation

In the field of creating AI, not only software developers are in great demand, but also people with creative thinking who are able to come up with and promote new ideas. To work in this field, it is important to be able to think outside the box. A separate promising area that a creative person can take up is teaching a machine to create works of art. Already today computers draw pictures, write music and poetry. In the near future, perhaps they will take over the creation of books, films and cartoons.

Mastering new skills

To work in the field of artificial intelligence, you need a good knowledge of mathematics and basic programming. For the study of AI, the two most important branches of mathematics are linear algebra and probability theory. The most popular programming language in this area is Python, followed by R and Lua. Knowledge of the English language will also be useful - the most modern scientific data, articles, reports on achievements and experiments are usually published in English!