Artificial Intelligence 30+ Free & paid online certification courses
Find out the below list of best Artificial Intelligence (AI) online certification courses. These 30+ Artificial Intelligence (AI) online Training Courses will help you to become expert in Machine Learning, Data science and Deep Learning with Real-time Projects on AI.
1. › Artificial Intelligence A-Z™: Learn How To Build An AI (Udemy)
Certification course Link: artificial-intelligence-az
★ 4.3 (18,331+ ratings) | 156,395+ students | 16.5 hours on-demand video.
Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Covering:
- How to start building AI with no previous coding experience using Python
- How to merge AI with OpenAI Gym to learn as effectively as possible
- How to optimize your AI to reach its maximum potential in the real world.
Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications. Understand the theory behind Artificial Intelligence.
Overall a very good introduction to the application of AI in real life projects.
2. › Financial Engineering and Artificial Intelligence in Python (Udemy)
★ 4.7 (490+ ratings) | 2,920+ students | 20 hours on-demand video.
This course will teach you the core fundamentals of financial engineering, with a machine learning twist.
Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning, and MORE. Forecasting stock prices and stock returns.
3. › Artificial Intelligence: Reinforcement Learning in Python (Udemy)★ 4.6 (8,569+ ratings) | 40,747+ students | 14 hours on-demand video.
Apply gradient-based supervised machine learning methods to reinforcement learning.
Understand the relationship between reinforcement learning and psychology.
Understand reinforcement learning on a technical level. Implement 17 different reinforcement learning algorithms.
4 › Tensorflow 2.0: Deep Learning and Artificial Intelligence (Udemy)
Course Link: deep-learning-tensorflow-2★ 4.6 (5,203+ ratings) | 28,373+ students | 21.5 hours on-demand video.
This is the finest course on TensorFlow you can ever get. It's a real course that covers up the complex math and the practical stuff in TensorFlow.
Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs). Predict Stock Returns. Time Series Forecasting. Computer Vision
How to build a Deep Reinforcement Learning Stock Trading Bot. GANs (Generative Adversarial Networks). Recommender Systems. Image Recognition
Convolutional Neural Networks (CNNs). Recurrent Neural Networks (RNNs). Use Tensorflow's Distribution Strategies to parallelize learning.
Use Tensorflow Serving to serve your model using a RESTful API. Use Tensorflow Lite to export your model for mobile (Android, iOS) and embedded devices.
5. › Modern Artificial Intelligence with Zero Coding (Udemy)
Build, train and deploy AI models to detect people emotions using Google Teachable Machine. Explain the difference between learning rate, epochs, batch size, accuracy and loss.
Predict Insurance Premium using Customer Features such as age, smoking habit and geo-location using AWS AI AutoPilot. Build, train and deploy advanced AI to detect cardiovascular disease using DataRobot AI.
Leverage the power of AI to recognize food types using DataRobot AI. Develop an AI model to detect and classify chest disease using X-Ray chest data using Google Teachable Machines.
6. › Artificial Intelligence for Business (Udemy)
Link: ai-for-business★ 4.6 (2,262+ ratings) | 18,037+ students | 15 hours on-demand video.
Solve Real World Business Problems with AI Solutions.
OPTIMIZE BUSINESS PROCESSES. Implement Q-Learning. Master the General AI Framework. Save and Load a model.
Build an Optimization Model. Implement Early Stopping. Maximize Efficiency. MAXIMIZE REVENUES.
7. › PyTorch: Deep Learning and Artificial Intelligence (Udemy)
Link: pytorch-deep-learning★ 4.7 (657+ ratings) | 3,871+ students | 23 hours on-demand video.
Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs). Predict Stock Returns. Time Series Forecasting. Computer Vision.
How to build a Deep Reinforcement Learning Stock Trading Bot. GANs (Generative Adversarial Networks). Recommender Systems. Image Recognition.
8. › Artificial Intelligence Masterclass (Udemy)★ 4.2 (1,084+ ratings) | 10,333+ students | 12 hours on-demand video.
Learn How to Build an AI. How to Build a Hybrid Intelligent System. Fully-Connected Neural Networks. Convolutional Neural Networks. Recurrent Neural Networks. AutoEncoders.
Variational AutoEncoders. Mixture Density Network. Deep Reinforcement Learning. Policy Gradient. Genetic Algorithms. Evolution Strategies. Covariance-Matrix Adaptation Evolution Strategies (CMA-ES).
1. › AI For Everyone | Offered by "DeepLearning.AI" (Coursera)
★ 4.8 (32,153+ ratings) | 644,980+ students | Approx. 6 hours to complete | Enroll for free.
You will learn the meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science. What AI realistically can--and cannot--do.
In this course, you will learn:
The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science.
How to spot opportunities to apply AI to problems in your own organization. How to navigate ethical and societal discussions surrounding AI.
What it feels like to build machine learning and data science projects. How to work with an AI team and build an AI strategy in your company.
2. › Machine Learning | Offered by "Stanford University" (Coursera)
Course Link: machine-learning★ 4.9 (159,344+ ratings) | 4,118,109+ students | Approx. 60 hours to complete | Enroll for free.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include:
Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
3. › IBM Applied AI Professional Certificate | Offered by "IBM" (Coursera)★ 4.6 (4,240+ ratings) | Approximately 6 months to complete | Enroll for free.
Kickstart your career in artificial intelligence. Learn Python, build a chatbot, explore machine learning and computer vision, and leverage IBM Watson.
Understand the definition of AI, its applications and use cases, and explain terms like machine learning, deep learning, and neural networks.
Create AI chatbots and virtual assistants without any programming and deploy them on a website.
Build AI-powered solutions using IBM Watson AI services, APIs, and Python with minimal coding.
Apply computer vision techniques using Python, OpenCV, & Watson and develop custom image classification models and deploy them to the Cloud.
4 › AI Foundations for Everyone Specialization | Offered by "IBM" (Coursera)★ 4.7 (1,586+ ratings) | 10,124+ students | Approximately 3 months to complete | Enroll for free.
Understand what is AI, its applications and use cases and how it is transforming our lives.
Describe several issues and ethical concerns surrounding AI.
Explain terms like Machine Learning, Deep Learning and Neural Networks.
Articulate advice from experts about learning and starting a career in AI.
5. › Introduction to Artificial Intelligence (AI) | Offered by "IBM" (Coursera)
Link: introduction-to-ai★ 4.7 (7,416+ ratings) | 128,635+ students | Approx. 8 hours to complete | Enroll for free.
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks.
This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.
6. › Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate (Coursera)★ 4.5 (60+ ratings)| Approximately 8 months to complete | Enroll for free.
Learn the skills needed to be successful in a machine learning engineering role.
Understand how to design, build, productionalize ML models to solve business challenges using Google Cloud technologies.
Prepare for the Google Cloud Professional Machine Learning Engineer certification exam.
Understand the purpose of the Professional Machine Learning Engineer certification and its relationship to other Google Cloud certifications.
1. › Computer Science for Artificial Intelligence from "Harvard University" (edx)★ Expert instruction | Self-paced | 5 months.
A broad and robust understanding of computer science and programming. Graph search algorithms.
Reinforcement learning. Machine learning. Artificial intelligence principles. How to design intelligent systems.
How to use AI in Python programs.
2. › Applied AI | from "IBM" (edx)
Course Link: professional-certificate/ibm-applied-ai
Build and train custom image classifiers using Watson, Python and OpenCV. Create a customer support chatbot and add it to a website.
Deploy speech enabled virtual assistants with domain intelligence to Facebook, etc. Explore concepts like Machine Learning, Deep Learning and Neural Networks.
Describe how AI-powered chatbot technology works and its applications. Explain what computer vision is and its applications.
Create an interactive computer vision web application and deploy it to the cloud. Understand AI basics, its applications and use cases, and how its transforming our lives.
3. › AI in Practice from "Delft University of Technology" (edx)
Describe the benefits of implementing AI in organizations, in terms of context, problems, research approach and results.
Identify the implications of implementing AI in terms of improvement strategies for organizations in industry, academia and education.
Understand the aspects of AI compliance and ethics and their significance for your own organization.
Create a plan for the application of AI in your own organization.
4 › CS50's Introduction to Artificial Intelligence with Python from "Harvard university" (edx)★ Free to start | Estimated 7 weeks | Self-paced.
This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.
Learn to use machine learning in Python in this introductory course on artificial intelligence.
5. › AI for Everyone: Master the Basics (edx)★ Free to start | Estimated 4 weeks | Self-paced.
- Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.
- Understand what is AI, its applications and use cases and how it is transforming our lives.
- Explain terms like Machine Learning, Deep Learning, and Neural Networks.
- Describe several issues and ethical concerns surrounding AI. Articulate advice from experts about learning and starting a career in AI.
6. › Ethics in AI and Big Data from "LinuxFoundation" (edx)
Learn how to build and incorporate ethical frameworks in your AI and Big Data technology and business initiatives to add transparency, build trust, and drive adoption.
Discuss business drivers for AI, as well as business and societal dynamics at work in an AI world.
Discuss the key principles for building responsible AI, and learn what are the initial steps to take when planning your AI framework.
Understand what ethics means and how to apply it to AI. Learn where to start, what considerations should inform your ethical framework, and what this framework should include.
1. › Artificial Intelligence Foundations: Thinking Machines (Linkedin)★ 6,774+ members like this course | 139,749+ learners| 1h 27m content.
This course will introduce you to some of the key concepts behind artificial intelligence, including the differences between "strong" and "weak" AI.
You'll see how AI has created questions around what it means to be intelligent and how much trust we should put in machines.
2. › Artificial Intelligence Tools and Concepts (Linkedin)★ 1,142+ members like this content | 22,284+ people started learning.
This course links common business needs to practical AI-based solutions, so you can build or buy the best AI systems for your organization.
Learn how AI can automate customer service, including phone, online chat, and even in-person interactions.
3. › Master the Fundamentals of AI and Machine Learning (Linkedin)★ 9 items of learning content | 11h 59m of content.
Gain a clear and detailed understanding of how AI and machine learning work.
Learn how leading companies are using AI and machine learning to change the way they do business.
Learn how the next generation of thinking about AI is addressing issues of accountability, security, and explainability.
4. › Advance Your Skills in AI and Machine Learning (Linkedin)★ 6 items of learning content | 11h 19m.
Learn how to analyze data using Wolfram Mathematica.
Build advanced-level algorithmic techniques. Master the machine learning capabilities of Apache Spark.
1. › Expand Your Knowledge of Artificial Intelligence (Udacity)
Learn essential Artificial Intelligence concepts from AI experts like Peter Norvig and Sebastian Thrun, including search, optimization, planning, pattern recognition, and more.
Online Link: ai-artificial-intelligence-nanodegree--nd898
2. › Artificial Intelligence for Trading (Udacity)
Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio.
3. › AI for Healthcare (Udacity)
Be at the forefront of the revolution of AI in Healthcare, and transform patient outcomes. Enable enhanced medical decision-making powered by machine learning to build the treatments of the future.
4. › AI for Business Leaders (Udacity)
Master the foundations of artificial intelligence so you can strategically implement AI in your company. Leverage machine learning technologies to power corporate growth, increase efficiency, and enhance customer experience.
1. › Artificial Intelligence: Distinguishing Between Fact and Fiction (Futurelearn)
★ 4.2 (38+ ratings) | 5,684+ students | 2 weeks.
On this two-week course, you will have the opportunity to explore artificial intelligence, how it’s perceived today and the differences between the hype, marketing and reality of AI.
2. › Using Artificial Intelligence (AI) Technologies for Business Planning and Decision-making (Futurelearn)
You will learn how AI technology and AI processes can help businesses with both human and automated business planning and decision-making.
3. › Digital Skills: Artificial Intelligence (Futurelearn)
On this course, you will learn more about the past, present and future of artificial intelligence and explore its potential in the workplace.
Course Link: artificial-intelligence
Artificial intelligence refers to the simulation of human intelligence in computer-controlled robot (Machines) that are programmed to think like humans and mimic their actions.
Artificial Intelligence (AI) is the future of the world. These days, every app, every website is employing AI for most of its functions. They are used for face recognition locks, to register and verify your security for transactions, and, of late, even put your face on various characters in gaming and non-gaming apps.