10最好的人工智能教程推荐

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特写 iPhone,显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 人工智能 技能并获得 人工智能 证书。

在这篇博客文章中,我们的专家汇总了 10 个精选列表 最好的 人工智能 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容!

10最好的人工智能教程推荐

1. Artificial Intelligence in Web Design + Live Class 经过 “Srinidhi Ranganathan, First Look Digital Marketing Solutions Pvt. Ltd.” Udemy课程 我们的最佳选择

Learn incredible tools and tech in this course that cover Artificial Intelligence (AI) powered Web Design concepts

截至目前,超过 184472+ 人们已经注册了这门课程,而且已经结束了 1440+ 评论.

课程内容
Artificial Intelligence in Web Design (2022 Special Edition) – The Course
Bonus Website Design Tools: Create a social network like Facebook in 5 minutes
Website Design Pro Secrets 2022: Create chatbots very quick

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2. Artificial Intelligence A-Z™: Learn How To Build An AI 经过 “Hadelin de Ponteves, Kirill Eremenko, Ligency I Team, Luka Anicin, Ligency Team, Jordan Sauchuk” Udemy课程

“Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!”

截至目前,超过 183611+ 人们已经注册了这门课程,而且已经结束了 21334+ 评论.

课程内容
Welcome to the course!
———- Part 0 – Fundamentals Of Reinforcement Learning ———-
Q-Learning Intuition
Q-Learning Visualization
———- Part 1 – Deep Q-Learning ———-
Deep Q-Learning Intuition
Deep Q-Learning Implementation
Deep Q-Learning Visualization
———- Part 2 – Deep Convolutional Q-Learning ———-
Deep Convolutional Q-Learning Intuition
Deep Convolutional Q-Learning Implementation
Deep Convolutional Q-Learning Visualization
———- Part 3 – A3C ———-
A3C Intuition
A3C Implementation
A3C Visualization
Annex 1: Artificial Neural Networks
Annex 2: Convolutional Neural Networks
Bonus Lectures

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3. Artificial Intelligence in Digital Marketing + Live Class 经过 “Srinidhi Ranganathan, First Look Digital Marketing Solutions Pvt. Ltd.” Udemy课程

Learn incredible Artificial Intelligence in Digital Marketing Automation Tools in 2022

截至目前,超过 146518+ 人们已经注册了这门课程,而且已经结束了 1284+ 评论.

课程内容
Artificial Intelligence in Digital Marketing 2022: Gold Edition – Introduction
Augmented Reality: Create Incredible Experiences
Content Creation with Artificial Intelligence Technology (2022)
Content Curation Redefined (2022)
Extreme Artificial Intelligence: Lead-Generation Tips and Special Videos

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4. Artificial Intelligence: Reinforcement Learning in Python 经过 “Lazy Programmer Team, Lazy Programmer Inc.” Udemy课程

“Complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications”

截至目前,超过 42522+ 人们已经注册了这门课程,而且已经结束了 9198+ 评论.

课程内容
Welcome
Return of the Multi-Armed Bandit
High Level Overview of Reinforcement Learning
Markov Decision Proccesses
Dynamic Programming
Monte Carlo
Temporal Difference Learning
Approximation Methods
Interlude: Common Beginner Questions
Stock Trading Project with Reinforcement Learning
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale

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5. The Beginner’s Guide to Artificial Intelligence (Unity 2022) 经过 “Penny de Byl, Penny @Holistic3D.com” Udemy课程

A practical guide to programming non-player characters for games in the Unity Game Engine with C#

截至目前,超过 37208+ 人们已经注册了这门课程,而且已经结束了 2204+ 评论.

课程内容
Introduction
The Mathematics of AI
The Physics of AI
The A* Algorithm
Waypoints and Graphs
Vehicles
Navigation Meshes
Finite State Machines
Autonomously Moving Agents
Crowd Simulation
Goal Driven Behaviour
Behaviour Trees
Final Words
Moving
Cars
Waypoints
NavMeshes
Autonomously Moving Agents
Moving As One
Let’s Start Thinking
Behaviour Trees
Goal-Orientated Action Planning
End Words

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6. Artificial Intelligence for Business 经过 “Hadelin de Ponteves, Kirill Eremenko, Ligency I Team, Ligency Team” Udemy课程

Solve Real World Business Problems with AI Solutions

截至目前,超过 23018+ 人们已经注册了这门课程,而且已经结束了 3188+ 评论.

课程内容
Introduction
——————– PART 1 – OPTIMIZING BUSINESS PROCESSES ——————–
Case Study
AI Solution
Implementation
Homework
——————– PART 2 – MINIMIZING COSTS ——————–
Case Study
AI Solution
Implementation
Homework
——————– PART 3 – MAXIMIZING REVENUES ——————–
Case Study
AI Solution
Implementation
Homework
Annex: Artificial Neural Networks
CLAIM YOUR BONUS HERE!

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7. Machine Learning Practical Workout | 8 Real-World Projects 经过 “Dr. Ryan Ahmed, Ph.D., MBA, Ligency I Team, Mitchell Bouchard, Ligency Team” Udemy课程

“Build 8 Practical Projects and Go from Zero to Hero in Deep/Machine Learning, Artificial Neural Networks”

截至目前,超过 13987+ 人们已经注册了这门课程,而且已经结束了 1322+ 评论.

课程内容
INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]ANACONDA AND JUPYTER INSTALLATION
PROJECT #1: ARTIFICIAL NEURAL NETWORKS – CAR SALES PREDICTION
PROJECT #2: DEEP NEURAL NETWORKS – CIFAR-10 CLASSIFICATION
PROJECT #3: PROPHET TIME SERIES – CHICAGO CRIME RATE
PROJECT #4: PROPHET TIME SERIES – AVOCADO MARKET
PROJECT #5: LE-NET DEEP NETWORK – TRAFFIC SIGN CLASSIFICATION
PROJECT #6: NATURAL LANGUAGE PROCESSING – E-MAIL SPAM FILTER
PROJECT #7: NATURAL LANGUAGE PROCESSING – YELP REVIEWS
PROJECT #8: USER-BASED COLLABORATIVE FILTERING – MOVIE RECOMMENDER SYSTEM
Bonus Lectures

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8. Artificial Intelligence Masterclass 经过 “Hadelin de Ponteves, Kirill Eremenko, Ligency I Team, Ligency Team” Udemy课程

“Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution, with a complete toolkit of ML, DL & AI models”

截至目前,超过 13725+ 人们已经注册了这门课程,而且已经结束了 1411+ 评论.

课程内容
Introduction
Step 1 – Artificial Neural Network
Step 2 – Convolutional Neural Network
Step 3 – AutoEncoder
Step 4 – Variational AutoEncoder
Step 5 – Implementing the CNN-VAE
Step 6 – Recurrent Neural Network
Step 7 – Mixture Density Network
Step 8 – Implementing the MDN-RNN
Step 9 – Reinforcement Learning
Step 10 – Deep NeuroEvolution
The Final Run
Bonus Lectures

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9. Artificial Intelligence & Machine Learning for Business 经过 Analytics Vidhya Udemy课程

“The Ultimate Artificial Intelligence & Machine Learning course for CxOs, Managers, Team Leaders and Entrepreneurs”

截至目前,超过 8902+ 人们已经注册了这门课程,而且已经结束了 2379+ 评论.

课程内容
About this course
What is Artificial Intelligence (AI) & Machine Learning (ML)?
What AI can and can not do?
AI uprising
Building blocks of AI
Common terminologies in real world
Common tools used for creating Artificial Intelligence
Common techniques in Artificial Intelligence
Applications of AI in various industries
Applications of AI in different functions
What do you need to enable a AI / ML practice in your organization?
How to recruit a team for enabling AI / ML?
Common misconceptions about AI & ML
The Artificial Intelligence Creation Process
Promises and Challenges of Artificial Intelligence

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10. Deep Reinforcement Learning 2.0 经过 “Hadelin de Ponteves, Ligency I Team, Ligency Team” Udemy课程

“The smartest combination of Deep Q-Learning, Policy Gradient, Actor Critic, and DDPG”

截至目前,超过 8582+ 人们已经注册了这门课程,而且已经结束了 1004+ 评论.

课程内容
Part 1 – Fundamentals
Part 2 – Twin Delayed DDPG Theory
Part 3 – Twin Delayed DDPG Implementation
The Final Demo!
Annex 1 – Artificial Neural Networks
Annex 2 – Q-Learning
Annex 3 – Deep Q-Learning
Bonus Lectures

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下面是一些关于学习的常见问题人工智能

学习人工智能需要多长时间?

“学习人工智能需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求,每个人都在不同的场景下工作,所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题:你想学习 人工智能 是为了什么?你的出发点在哪里?您是初学者还是有使用 人工智能 的经验?你能练习多少?每天1小时?每周40小时? 查看本课程关于 人工智能.

人工智能 学起来容易还是难?

不,学习 人工智能 对大多数人来说并不难。检查这个 关于如何学习的课程 人工智能 立刻!

如何快速学习人工智能?

学习 人工智能 最快的方法是先得到这个 人工智能 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 人工智能?

如果您想探索和学习 人工智能,那么 Udemy 为您提供了学习 人工智能 的最佳平台。查看此 关于如何学习的课程 人工智能 立刻!