Best Artificial Intelligence Courses (Free and Paid)

Artificial intelligence (AI) has become a controversial yet popular subject in recent years. The ability of machines to learn, reason, and change has made them an important tool for businesses and groups that want to stay ahead of the curve. This has led to a storm of hundreds of AI courses best artificial intelligence courses […] The post Best Artificial Intelligence Courses (Free and Paid) appeared first on Chegg India.

Best Artificial Intelligence Courses (Free and Paid)

Artificial intelligence (AI) has become a controversial yet popular subject in recent years. The ability of machines to learn, reason, and change has made them an important tool for businesses and groups that want to stay ahead of the curve. This has led to a storm of hundreds of AI courses best artificial intelligence courses has become very important.

The most recent improvements in AI have focused on making machine learning algorithms more accurate and faster. They are developing new ways to deal with computer vision & natural language processing. Deep learning is a subset of machine learning that has become a powerful way to handle large amounts of data and make correct predictions.

Explainable AI (XAI) is another AI trend that tries to make AI more clear and easy to understand for humans. This is especially important in areas like health care and banking, where the decisions made by AI systems can have big effects. If you want to understand how to learn AI, read this article to explore free AI courses and more.

Free Artificial Intelligence Courses

Some of the free and best artificial intelligence courses are discussed below:

1. Introduction to Artificial Intelligence by Stanford University

1. Course Highlights

Stanford Online, the university’s virtual campus, offers several AI courses. You may take these classes from the comfort of your home and learn from Stanford professors at the cutting edge of the AI revolution.

2. Course Faculty

Moses Charikar and Sanmi Koyejo (professors of computer science at Stanford).

3. Types

Two types of programs are available:

  1. Graduate Program
  2. Professional program

4. Course Duration

  1. For the graduate program: 90–120 hours per course.
  2. For professional education:80-120 hours per course.

5. Details

Artificial intelligence course subjects in the graduate program explain AI’s basic and advanced technologies and principles, such as:

  1. Logic
  2. Probabilistic Model
  3. Knowledge Representation
  4. Machine Learning

The professional program provides the following:

The professional program provides the following:

  1. Rigorous Introduction to Machine Learning.
  2. Project-Based Learning in Natural Language Processing and Understanding.
  3. Exploring Theoretical Learning.

6. Cost

Free of cost in case of auditing (won’t get a certificate or access to graded assignments).

Get Paid for Your Knowledge

2. Machine Learning by Andrew Ng

1. Course Highlights

One of Andrew Ng’s most popular classes on Coursera is the Machine Learning course. The Machine Learning course on Coursera is one of three courses that make up a Machine Learning Specialization. Over 5 million people took this course, rating it 4.9. It shows the best ways that artificial intelligence and machine learning are being improved in Silicon Valley.

2. Course Faculty

Andrew Ng (an adjunct professor at Stanford University)

3. Course Duration

It takes three months to finish the course at 9 hours per week.

4. Details

The course gives a broad introduction to modern machine learning. Among the other things it talks about are the following:

5. Supervised Learning

  1. Multiple Linear Regression
  2. Neural Networks
  3. Logistic Regression
  4. Decision Trees

6. Unsupervised Learning

  1. Clustering
  2. Recommender Systems
  3. Dimensionality Reduction

7. Cost

Free of cost in case of auditing (won’t get a certificate or access to graded assignments).

3. Elements of AI

1. Course Highlights

MinnaLearn and the University of Helsinki have created a set of free online classes called “Elements of AI.” These lessons aim to take the mystery out of AI and get as many people as possible to learn what AI is, what it can and can’t do, and how to start making AI methods.

The courses are self-paced, flexible, and combine theory and practice. Some familiarity with Python helps you get the most out of this course.

2. Course Faculty

Teemu Roos and Ville Hautamäki

3. Types

The course is of two types:

  1. Introduction to AI
  2. Building AI

4. Course Duration

You should finish each lesson within 6 weeks. Each part will take between 4 and 8 hours to finish.

5. Details

  1. Introduction to AI:
    • AI’s Impact on Human Lives
    • What AI can and cannot do
  2. Building AI
    • Algorithms for AI method creation

6. Cost

Free of cost

4. Introduction to Machine Learning with Python by IBM

1. Course Highlights

IBM’s online program has a course called “Introduction to Machine Learning with Python.”

2. Course Faculty

Saeed Aghabozorgi and Joseph Santarcangelo (data scientists and instructors at IBM)

3. Course Duration

The course should be completed in 6 months at 3 hours per week.

4. Details

This course teaches the basics of machine learning using Python. It is easy to learn and use. You’ll learn about the following:

  1. Supervised vs. Unsupervised Learning.
  2. Statistical Modelling and Machine Learning.

5. Cost

Free of cost in case of auditing (won’t get a certificate or access to graded assignments)

Paid Artificial Intelligence Courses

Some of the paid and best artificial intelligence courses are discussed below:

1. Artificial Intelligence A-Z by Udemy

1. Course Highlights

Udemy has a course called Artificial Intelligence A-ZTM 2023. Build an AI with ChatGPT4. It is a course that has been completed by 199,796 people and has a rating of 4.4. Kirill Eremenko, Hadelin de Ponteves, the Ligency Team, Luka Anicin, and Jordan Sauchuk worked on making the course.

2. Course Faculty

Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, Ligency Team, and Jordan Sauchuk (all experts and instructors in artificial intelligence, data science, machine learning, and deep learning).

3. Course Duration

The course includes 17.5 hours of on-demand video.

4. Details

It aims to do the following:

  1. Combining the power of Machine Learning, Data Science, and Deep Learning.
  2. Creating powerful AI for Real-Life Applications.

5. Cost

Pricing for this course varies, but it is usually available for around INR 455 to INR 1,330.

2. Deep Learning Specialization by Andrew Ng

1. Course Highlights

The Deep Learning Specialization is a set of courses offered on Coursera by the website deeplearning.ai. Andrew Ng and other teachers teach the subject.

2. Course Faculty

Andrew Ng (an adjunct professor at Stanford University).

3. Course Duration

The course lasts 17.5 hours of on-demand video, and the specialization takes 3 months.

4. Details

Its goal is to help people in the following:

  1. Learning the Basics of Deep Learning.
  2. Getting Ready for a Job in AI.

5. Cost

This specialization consists of multiple courses, and the total cost is around INR 5,500 to INR 8,000.

3. Applied Data Science with Python by IBM

1. Course Highlights

On the Cognitive Class site, IBM has a course called “Applied Data Science with Python.” It is an action-packed learning path for people who like data science and want to learn data science by doing hands-on work with Python.

2. Course Faculty

Joseph Santarcangelo, Alex Aklson, Saeed Aghabozorgi, and Polong Lin ( Data scientists and instructors at IBM)

3. Course Duration

The course takes 5 hours of on-demand video, and the specialization takes 2 months.

4. Details

The course teaches the following:

  1. Coding in Python for Data Science.
  2. Analyzing and Visualizing Data.
  3. Learning Python packages like matplotlib, sci-kit-learn, and bokeh.

5. Cost

4. Machine Learning by Georgia Tech

1. Course Highlights

Machine learning courses and programs are available at Georgia Tech. The Georgia Tech Machine Learning Institution is a place for study that spans different fields. It is a haven for thought leaders and practitioners. It’s a place where the next generation of innovators can learn.

2. Course Faculty

Charles Isbell, Michael Littman, Pushkar Kolhe, and David Joyner (professors of computer science at Georgia Tech)

3. Course Duration

The length of the course is 16 weeks, and the length of the specialization is 48 weeks.

4. Details

Their offerings include:

  1. Specialization in Machine Learning for a Master of Science in Computer Science.
  2. PhD program in Machine Learning.

5. Cost

The cost of this course varies depending on whether you pursue it for credit or as a non-credit option. It ranges from INR 35,000 to INR 70,000.

Best Artificial Intelligence Courses with Certification

1. IBM Applied AI Professional Certificate

1. Course Highlights

The IBM Applied AI Professional Certificate is a Coursera program that IBM offers. This curriculum is aimed at preparing you to work as an AI developer. It gives you a solid understanding of AI technology, applications, and use cases.

2. Course Faculty

Rav Ahuja, Romeo Kienzler, Svetlana Levitan, Antonio Cangiano, Alex Aklson, and Polong Lin (Experts and instructors in artificial intelligence, machine learning, data science, and IBM Watson)

3. Course Duration

The course duration is 3 months at 10 hours per week.

4. Details

You’ll understand and use the following:

  1. Data Science
  2. Machine Learning
  3. Image Classification
  4. Natural Language Processing
  5. IBM Watson AI Services
  6. Image Processing
  7. OpenCV
  8. APIs

5. Cost

The cost of this professional certificate program is around INR 32,000 to INR 40,000.

2. Google Cloud AI Platform Specialization

1. Course Highlights

The Google Cloud AI Platform Specialization is a Google AI course that Google Cloud offers through Coursera.

2. Course Faculty

Sara Robinson, Evan Jones, Amy Unruh, and Karl Weinmeister (Experts and instructors in artificial intelligence, machine learning, data science, and Google Cloud).

3. Course Duration

The course lasts for 3 months and 10 hours per week.

4. Details

This program will teach you:

  1. Build Vertex AI AutoML Models Without Code.
  2. Building BigQuery ML Models Using Basic SQL.
  3. Creating Vertex AI Containerized Training Jobs.
  4. Basic SQL to Build BigQuery ML Models.
  5. Feature Store Manages and Governs Data.
  6. Feature Engineering Improves Models.
  7. Use Case-Specific Data Preparation Choices.
  8. Create Scalable TensorFlow Distributed ML Models.
  9. Google Cloud Machine Learning Best Practices.

5. Cost

The cost for this specialization is approximately INR 20,000 to INR 25,000.

3. Microsoft Certified: Azure AI Engineer Associate

1. Course Highlights

Azure AI engineers have previously worked with languages like Python and C# to build solutions. They can use REST-based APIs and SDKs to build safe solutions for video processing, image processing, knowledge mining, natural language processing (NLP), and conversational AI. Microsoft Certified: Azure AI Engineer Associate is a certification that Microsoft offers.

2. Course Faculty

Experts and instructors in artificial intelligence, machine learning, data science, and Microsoft Azure.

3. Course Duration

The course duration is not fixed because your preparation time and exam schedule determine it.

4. Details

This certification validates the following skills and knowledge:

  1. Manage and Deploy Azure Cognitive Services-Based AI Systems
  2. Microsoft Bot Framework
  3. Azure Cognitive Search

5. Cost

The certification exam for this role costs around INR 4,000 to INR 6,000.

4. AWS Certified Machine Learning – Specialty

1. Course Highlights

Amazon Web Services offers a degree called AWS Certified Machine Learning – Specialty. It is for people who work in programming or data science and have over a year of experience building, designing, or running machine learning/deep learning workloads in the AWS Cloud.

2. Course Faculty

Experts and instructors in artificial intelligence, machine learning, data science, and AWS.

3. Course Duration

The course duration is not fixed, as it depends on your preparation time and exam schedule.

4. Details

With this certification, you prove that you can:

  1. Build ML Models on AWS.
  2. Train ML Models on AWS.
  3. Tune ML Models on AWS.
  4. Deploy Machine Learning ML Models on AWS.

5. Cost

The cost for this certification exam is approximately INR 6,500 to INR 9,000.

Best Artificial Intelligence Courses for Specific Industries

Here is a table with a list of the best artificial intelligence courses for certain industries:

Course NameDurationDetailsCost
AI: Strategies for Business Transformation by Indian School of Business12 weeks onlineLearn how to apply AI to transform your business processes, products, and services. Identify AI opportunities, design AI solutions, and implement AI projects in various domains Gain insights from real-world case studies and industry experts.– INR 1,20,000 + GST
Certificate Program in Machine Learning and AI With Python by IIT Bombay6 months live onlineLearn the fundamentals of machine learning and AI using Python and popular libraries Use machine learning and AI techniques for data analysis, data visualization, classification, regression, clustering, natural language processing, computer vision, and deep learning Work on hands-on projects and assignments using real-world datasets– INR 1.5 lakhs + GST
Executive Certificate Programme in AI & ML For Managers by SPJIMR7 months live onlineUnderstand the concepts and applications of AI and ML in your industry Use AI and ML tools and frameworks to solve business problems, improve decision-making, enhance customer experience, and create value Learn from industry experts and faculty members with rich experience in AI and ML– INR 2.5 lakhs + GST
Certificate Programme in Data Science & Machine Learning by IIT Delhi6 months live onlineLearn the core concepts and skills of data science and machine learning using R and Python Use data science and machine learning methods for data collection, data cleaning, data exploration, data modelling, data evaluation, data visualization, and data communication Apply data science and machine learning solutions to real-world problems in various domains– INR 2.5

Artificial Intelligence Courses for Specific Industries

A. Healthcare

AI courses for healthcare professionals teach them how to use artificial intelligence in medicine. They learn how to analyze medical images like X-rays and MRI scans using computers. They also learn how to predict diseases and discover new drugs. These courses teach them about machine learning, deep learning, and analyzing medical data. They also cover important ethical and privacy issues related to using AI in healthcare.

B. Finance

Artificial intelligence in finanace for tasks like predicting stock prices, finding fraud, and managing investments. They learn about algorithms that can analyze large amounts of financial data and make predictions. These courses also teach them about using AI to automate tasks and improve customer service. They also cover topics like regulations and ethical concerns related to AI in finance.

C. Manufacturing

AI courses for manufacturing teach how to use artificial intelligence to make factories more efficient. They learn about robots and machines that can see and understand things, like inspecting products for defects. They also learn about using AI to predict when machines need maintenance and to optimize production planning. These courses cover topics like machine learning, computer-aided design, and integrating AI with machines. They also teach about cybersecurity and protecting data in manufacturing.

D. Marketing

AI helps in how to use artificial intelligence in advertising and customer analysis. They learn about algorithms that can analyze customer data and recommend products. They also learn about using AI to understand customer sentiment from social media and generate personalized content. These courses cover topics like customer segmentation, chatbots, and predictive analytics. They also cover ethical issues related to using AI in marketing, like privacy and bias.

In simple terms, the best artificial intelligence courses for specific industries teach professionals how to use artificial intelligence in their fields. They learn about different AI techniques and how to apply them to their industry’s specific needs. These courses also cover important ethical and privacy concerns related to using AI.

The Best Courses for Artificial Intelligence Excellence

Lastly, taking the best AI courses online has many benefits, whether for free or for money. The best artificial intelligence courses can greatly boost your personal and professional growth. AI is a growing area that needs a lot of people who can use it in fields like finance, healthcare, and engineering.

AI will become more famous as more industries realize its usefulness. Whether it’s in healthcare, banking, or manufacturing, AI is changing how we live and work, and it will have a big impact on the future of our world. AI education can help people become more marketable, earn more, and grow socially.

They can develop problem-solving, critical thinking, and analytical skills, essential in any area. So, anyone wanting to learn more about AI should take advantage of the many free and paid online classes to learn more and improve. Ultimately, the best artificial intelligence courses depends on what you want to learn and what interests you.

Evaluate numerous career choices to choose the right career path for yourself. Dive in to our guide on Career Advice.

Frequently Asked Questions (FAQ’s)

Which AI course is the best?

There are many good AI courses offered online. Some popular options are the Artificial Intelligence Graduate Program at Stanford University School of Engineering, the Artificial Intelligence Courses & Certifications on Coursera, and the AI Programming with Python Nanodegree on Udacity. Ultimately, the best artificial intelligence courses depends on what you want to learn and what interests you.

Which field of AI is in demand?

Numerous sectors of AI are in high demand. Data scientist, machine learning engineer, data engineer, senior software engineer, and software engineer are among the most in-demand AI careers. Programming (in R, Python, C++, and Java), data science, and machine learning are also in great demand.

Which AI field is best for the future?

AI has the potential to have a wide-ranging impact in the future. The most important AI fields expected to grow are healthcare, finance, education, the military, and cybersecurity. Furthermore, talents such as data analytics, machine learning, and programming are in high demand. It’s hard to say which industry will be the most successful in the future, but it seems likely that AI will continue to be a key part of many businesses.

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