ARTIFICIAL INTELLIGENCE is the key to future generations. AI technology approach to make computers, robots, and makes things think as human beings think. AI applied or observed to any machine that shows characters that relate to a human mind such as learning and problem-solving. Ultimately this study results in a software system. They are used for face locks, registration and verification security for transactions, and opening the door automatically when you enter. Best. On completion of all the below courses, you will get the certification. Artificial Intelligence makes things possible and easier.

Best Artificial Intelligence Courses :

best artificial intelligence courses
Best artificial intelligence Courses

1. Google AI Powered by Google

From these best artificial intelligence courses, Google’s mission is to organize world information and make it globally accessible and useful. AI is helping us to solve things in exciting ways, solving problems for users, customers, and the world. This program makes it easy for a user to search for daily things. Which reflects their memories.

  • topics to be covered:
  • Basic concepts of machine learning, recommendation systems, AI explorable, and data clustering.
  • How to test and debug Machine learning and prepare data.
  • Using AI for the benefit of society.
  • Students become skilled to help social media sites in preventing various differences at the ground level. Prevent hacking and violations personally and identify variations in the system.
  • Level: Beginner
  • Rating: 4.0
  • Duration: at least 4 hrs/topic

2. Artificial Intelligence Certification Program by Stanford University

“AI is the new electricity.”
– Andrew Ng

You can earn an AI certification from Stanford University under the tutelage of renowned Professor Andrew Ng. The best AI course is ideal for computer and language programming students and software engineers working with AI. Best way to get into the classroom of Stanford.

  • topics to be covered :
  • Logic and probabilistic models.
  • Machine learning, knowledge representation.
  • Robotics, natural language processing, and visual learning.
  • AFTER COMPETITION: On completing the course, learners can apply for jobs in AI programming, Robotics, building AI for practical uses, and also its application in business modules.
  • To know before this course:
  • Experience with programming in C/C++, Java, Python, and also with other languages.
  • Bachelor’s degree with a 3.0 or higher grade point average.
  • Understanding of advanced probability.
  • Advanced statistics and linear algebra.
  • Level: Intermediate
  • Rating: 4.8
  • Duration: specifically to a number of units chosen.


3. Introduction to Artificial Intelligence

This course introduces the basics of AI and how to use it in various industries. This is the best AI course which is ideal for developers, managers/executives, and computer science students. Who want to become builders and developers of AI solutions.

  • topics to be covered :
  • skills to make AI-powered applications.
  • basics of Python and understand how to apply Python skills for data science and AI.
  • how AI-powered chatbot tech works and its applications.
  • create and deploy speech-enabled virtual assistants with domain intelligence to Facebook etc.
  • what computer vision is and its uses.
  • To know before this course:
  • Experience with C# and familiarity with the Unity Game Development Engine.
  • Level: Beginner
  • Rating: 4.5
  • Duration: 10 hrs 50 min FREE TO ENROLL HERE

4. IBM Applied AI Professional Certificate By Coursera

IBM Applied AI Professional Certificate

This Professional program in AI was created by IBM, the global leader in Tech and one of the pioneers in AI innovation. It is aimed at those who want to learn the skills to work as an AI developer. It introduces learners to concepts and tools like machine learning, data science, natural language processing, and image processing. Students will learn from scratch. AI Certification comprising of 6 courses and can be taken by learners with both technical and non-technical backgrounds. The first three courses of the program constitute the complete AI Foundations For Everyone Specialization. Do not require any programming knowledge.

Level: Beginner

5. Deep Learning Specialization by Andrew Ng

Deep Learning Specialization

The Deep Learning Specialization is a basic program that helps you to understand the capabilities, challenges, and consequences of deep learning. Prepare you to participate in the development of leading-edge AI technology. This Coursera Deep Learning specialization created and taught by Andrew Ng is a more advanced course for those looking to learn about AI and deep learning, applying it to solve problems, and building a career in AI.

  • before this course:
  • Python programming as well as mathematics skills.
  • Knowledge and experience in machine learning.
  • Topics to be covered:
  • The theory of AI and deep learning and shows how it is applied and working in the industry.
  • Practice in Python and Tensor Flow.
  • Understand industry best practices for building deep learning applications.
  • Get advice from deep learning experts and leaders in the field.
  • able to apply a neural network in Tensor Flow.
  • Understand how to find errors in a machine learning system and priorities directions for reducing error.
  • Learn how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs.

Duration: 4 months,4.5 hrs/week
Rating: 4.8

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