• star

    4.6

  • star

    4.89

  • star

    4.94

  • star

    4.7

  • star

    4.6

  • star

    4.89

  • star

    4.94

  • star

    4.7

University & Pro Programs

UNIVERSITY
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Great Learning

12 weeks  • Online

UNIVERSITY
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Walsh College

2 Years  • Online

PRO
Master Generative AI
10 coding exercises 3 projects
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MIT Professional Education

14 Weeks  • Online

Learn from MIT Faculty
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Johns Hopkins University

16 weeks  • Online

PRO
ChatGPT for Working Professionals
PRO
AI in CyberSecurity
2 projects
PRO
Master Artificial Intelligence
18 coding exercises 3 projects

Free AI Courses

BASICS
AI in Digital Marketing
star   4.49 96K+ Learners 0.5 hr

Skills: AI Marketing Fundamentals, AI Tool Selection, Prompt Engineering, Generative AI Content Creation, AI-Era SEO & Discovery, Marketing Personalization, Paid Ad Targeting, AI Chatbots, Campaign Workflow Building, Marketing Analytics & Measurement

BASICS
Robotics and AI
star   4.51 21.3K+ Learners 1 hr

Skills: Robotics Basics, Robot Design,AI Fundamentals,Machine Learning, Algorithms, Neural Networks ,Programming:Python, C++, MATLAB, Robot Operating System (ROS),Feedback Loops,Motion Planning

PRO
Master Generative AI
10 coding exercises 3 projects
BASICS
Applications of AI
star   4.48 52.5K+ Learners 0.5 hr

Skills: Ethical Applications in the field of Artificial Intelligence

BASICS
AI Ethics for Beginners
star   4.51 7K+ Learners 1.5 hrs

Skills: Foundations of AI Ethics,Privacy in AI,Bias and Fairness in AI System,Transparency and Explainability ,Case Studies on Ethical AI Project

BASICS
Cursor AI for Beginners
star   4.67 2.7K+ Learners 1 hr

Skills: Code debugging, Real-time application development, Integration of AI features, Installation and setup procedures, Practical hands-on exercises.

BASICS
Artificial Intelligence with Python
star   4.54 91.2K+ Learners 7.5 hrs

Skills: AI Fundamentals, Python for AI, Neural Networks Basics, Biological vs. Artificial Neurons, Perceptron Mechanism, ANN Architecture, Activation Functions, Forward Propagation, Loss Functions, Keras Framework, Gradient Descent, MNIST Application, TensorFlow

BASICS
AI Product Manager: Roles, Skills and Responsibilities
star   4.65 2K+ Learners 1 hr

Skills: AI Product Manager Responsibilities, AI Integration, Lifecycle Management, Stakeholder Interaction, Data Privacy, Data Visualization, Prototyping, Customer Feedback, Version Control

BASICS
Google AI Essentials
star   4.58 5.3K+ Learners 1.5 hrs

Skills: "Google AI Studio,Gemini interfaces, Multimodal summarization Multimodal analysis, Audio transcription, Code debugging,Storytelling, Version selection"

BASICS
AI Data Management
star   4.38 12.1K+ Learners 1 hr

Skills: AI Data Management

BASICS
AI Product
star   4.42 7.7K+ Learners 1 hr

Skills: Artificial Intelligence in Business

free icon BASICS
AI in Digital Marketing
star   4.49 96K+ learners 0.5 hr

Skills: AI Marketing Fundamentals, AI Tool Selection, Prompt Engineering, Generative AI Content Creation, AI-Era SEO & Discovery, Marketing Personalization, Paid Ad Targeting, AI Chatbots, Campaign Workflow Building, Marketing Analytics & Measurement

free icon BASICS
Robotics and AI
star   4.51 21.3K+ learners 1 hr

Skills: Robotics Basics, Robot Design,AI Fundamentals,Machine Learning, Algorithms, Neural Networks ,Programming:Python, C++, MATLAB, Robot Operating System (ROS),Feedback Loops,Motion Planning

pro icon PRO
Master Generative AI
star   4.6 23.9K+ learners 9 hrs
free icon BASICS
Applications of AI
star   4.48 52.5K+ learners 0.5 hr

Skills: Ethical Applications in the field of Artificial Intelligence

free icon BASICS
AI Ethics for Beginners
star   4.51 7K+ learners 1.5 hrs

Skills: Foundations of AI Ethics,Privacy in AI,Bias and Fairness in AI System,Transparency and Explainability ,Case Studies on Ethical AI Project

free icon BASICS
Cursor AI for Beginners
star   4.67 2.7K+ learners 1 hr

Skills: Code debugging, Real-time application development, Integration of AI features, Installation and setup procedures, Practical hands-on exercises.

free icon BASICS
Artificial Intelligence with Python
star   4.54 91.2K+ learners 7.5 hrs

Skills: AI Fundamentals, Python for AI, Neural Networks Basics, Biological vs. Artificial Neurons, Perceptron Mechanism, ANN Architecture, Activation Functions, Forward Propagation, Loss Functions, Keras Framework, Gradient Descent, MNIST Application, TensorFlow

pro icon PRO
End-to-End NLP with Python: Build Chatbots and LLM Applications
free icon BASICS
AI Product Manager: Roles, Skills and Responsibilities

Skills: AI Product Manager Responsibilities, AI Integration, Lifecycle Management, Stakeholder Interaction, Data Privacy, Data Visualization, Prototyping, Customer Feedback, Version Control

free icon BASICS
Google AI Essentials
star   4.58 5.3K+ learners 1.5 hrs

Skills: "Google AI Studio,Gemini interfaces, Multimodal summarization Multimodal analysis, Audio transcription, Code debugging,Storytelling, Version selection"

free icon BASICS
AI Data Management
star   4.38 12.1K+ learners 1 hr

Skills: AI Data Management

free icon BASICS
AI Product
star   4.42 7.7K+ learners 1 hr

Skills: Artificial Intelligence in Business

Top 5 Free AI Courses for You

Join 400,000+ learners building AI skills with Great Learning - every course is free and comes with a certificate. Start with the one that matches where you are.

  • Applications of AI

    Learners exploring real-world AI uses

    you want to see how AI is applied across fields, including ethics

    0.5 hr

    4.48
    (52.5K learners)
  • AI Data Management

    Beginners handling data for AI

    you want to understand how data is managed for AI

    1 hr

    4.38
    (12.1K learners)
  • Big Data and AI

    Beginners curious about big data and AI

    you want to understand big data and current AI trends

    1 hr

    4.55
    (11.7K learners)
  • AI Applications in Healthcare

    Healthcare and domain learners

    you want to apply AI and ML to healthcare problems

    2 hrs

    4.63
    (40.8K learners)
  • Introduction to Artificial Intelligence

    Absolute beginners and students exploring tech

    you want a broad AI overview - neural nets, NLP and computer vision

    1.5 hrs

    4.46
    (179.1K learners)

Learn Artificial Intelligence for Free

These free online AI courses provide learners with a direct path from AI awareness to applied workplace skills. You will learn AI terminology, core concepts, and business use cases first, then build practical skills in generative AI, prompt writing, and everyday AI tools for productivity and decision-making. You will also build technical skills in deep learning with CNNs and RNNs, TensorFlow and Keras, plus applied work in image processing, OpenCV, sentiment analysis, and AI project development, so you finish with skills you can use on real business tasks.

In these free AI training courses, you will start with machine learning fundamentals, neural networks, NLP, computer vision, statistics, supervised and unsupervised learning, model training, and model evaluation. As you progress, you will work with Python for AI, data wrangling, data visualization, LLM and ChatGPT skills, prompt engineering, and agentic AI use cases tied to customer experience, content creation, product work, and AI-assisted coding. By the end, you will have a strong base for applied AI work, stronger job readiness, and practical skills for real outcomes instead of theory alone.

Skills You’ll Gain in These Free AI Courses for Beginners

  • Fundamentals: AI awareness, Machine Learning (ML) basics, and neural networks.

  • Tools & Techniques: Python, TensorFlow, and prompt engineering.

  • Machine Learning with Python: Covers algorithms, data science, and practical projects.

  • Deep Learning with TensorFlow: Focuses on building neural networks.

  • Application: Generative AI for productivity and data science skills.
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Get started with these courses

BASICS
Pathway to Becoming an AI Engineer
1.5K+ Learners 1 hr

Skills: Definition of AI Engineer, Career Progression, Ethical Principles in AI, Leadership and ethical decision-making

BASICS
AI and Customer Journey Essentials
521 Learners 0.5 hr

Skills: Customer journey mapping, AI in customer experience, Customer lifecycle management, Customer retention, Lifetime value optimization

BASICS
AI Product Manager: Roles, Skills and Responsibilities
star   4.65 2K+ Learners 1 hr

Skills: AI Product Manager Responsibilities, AI Integration, Lifecycle Management, Stakeholder Interaction, Data Privacy, Data Visualization, Prototyping, Customer Feedback, Version Control

BASICS
Ghibli Art Using AI
549 Learners 1 hr

Skills: AI art, Ghibli trend, Ghibli aesthetics, visual style, ChatGPT art, tool comparison, style learning, AI creativity, style transfer

BASICS
Cursor AI for Beginners
star   4.67 2.7K+ Learners 1 hr

Skills: Code debugging, Real-time application development, Integration of AI features, Installation and setup procedures, Practical hands-on exercises.

BASICS
Google AI Essentials
star   4.58 5.3K+ Learners 1.5 hrs

Skills: "Google AI Studio,Gemini interfaces, Multimodal summarization Multimodal analysis, Audio transcription, Code debugging,Storytelling, Version selection"

BASICS
AI Ethics for Beginners
star   4.51 7K+ Learners 1.5 hrs

Skills: Foundations of AI Ethics,Privacy in AI,Bias and Fairness in AI System,Transparency and Explainability ,Case Studies on Ethical AI Project

BASICS
Building AI Products
star   4.23 591 Learners 5 hrs

Skills: AI Products, Industry, Future of AI Products

BASICS
Artificial Intelligence on Cloud
star   4.81 394 Learners 4.5 hrs

Skills: AI & cloud, AWS, Deployment

BASICS
Big Data and AI
star   4.55 11.7K+ Learners 1 hr

Skills: Big Data, AI Trends

BASICS
AI Product
star   4.42 7.7K+ Learners 1 hr

Skills: Artificial Intelligence in Business

BASICS
AI Data Management
star   4.38 12.1K+ Learners 1 hr

Skills: AI Data Management

BASICS
AI in Digital Marketing
star   4.49 96K+ Learners 0.5 hr

Skills: AI Marketing Fundamentals, AI Tool Selection, Prompt Engineering, Generative AI Content Creation, AI-Era SEO & Discovery, Marketing Personalization, Paid Ad Targeting, AI Chatbots, Campaign Workflow Building, Marketing Analytics & Measurement

BASICS
Artificial Intelligence with Python
star   4.54 91.2K+ Learners 7.5 hrs

Skills: AI Fundamentals, Python for AI, Neural Networks Basics, Biological vs. Artificial Neurons, Perceptron Mechanism, ANN Architecture, Activation Functions, Forward Propagation, Loss Functions, Keras Framework, Gradient Descent, MNIST Application, TensorFlow

BASICS
Artificial Intelligence Projects
star   4.5 55.9K+ Learners 1.5 hrs

Skills: ANN Model, Keras, Python, Weights, Biasis, Activation, Back Propagation, Time Series Forecasting, ANN and RNN, Understanding image processing, Using Convolutional Neural Networks, Face recognition using Python, Building a virtual assistant

BASICS
Applications of AI
star   4.48 52.5K+ Learners 0.5 hr

Skills: Ethical Applications in the field of Artificial Intelligence

BASICS
Career in Artificial Intelligence
star   4.36 35.7K+ Learners 1 hr

Skills: Career roadmap for Machine Learning and Data Science, Data Science vs Machine Learning vs Artificial Intelligence

BASICS
Robotics and AI
star   4.51 21.3K+ Learners 1 hr

Skills: Robotics Basics, Robot Design,AI Fundamentals,Machine Learning, Algorithms, Neural Networks ,Programming:Python, C++, MATLAB, Robot Operating System (ROS),Feedback Loops,Motion Planning

BASICS
Building Recommendation Systems
star   4.45 14.1K+ Learners 1 hr

Skills: Introduction to Recommendation Systems, Movie Recommendation Demo

BASICS
AI and Big Data in IOT
star   4.48 13K+ Learners 1 hr

Skills: AI in IoT, Big Data in IoT, IoT Analytics

New

BASICS
Pathway to Becoming an AI Engineer
1.5K+ Learners 1 hr

Skills: Definition of AI Engineer, Career Progression, Ethical Principles in AI, Leadership and ethical decision-making

BASICS
AI and Customer Journey Essentials
521 Learners 0.5 hr

Skills: Customer journey mapping, AI in customer experience, Customer lifecycle management, Customer retention, Lifetime value optimization

BASICS
AI Product Manager: Roles, Skills and Responsibilities
star   4.65 2K+ Learners 1 hr

Skills: AI Product Manager Responsibilities, AI Integration, Lifecycle Management, Stakeholder Interaction, Data Privacy, Data Visualization, Prototyping, Customer Feedback, Version Control

BASICS
Ghibli Art Using AI
549 Learners 1 hr

Skills: AI art, Ghibli trend, Ghibli aesthetics, visual style, ChatGPT art, tool comparison, style learning, AI creativity, style transfer

BASICS
Cursor AI for Beginners
star   4.67 2.7K+ Learners 1 hr

Skills: Code debugging, Real-time application development, Integration of AI features, Installation and setup procedures, Practical hands-on exercises.

BASICS
Google AI Essentials
star   4.58 5.3K+ Learners 1.5 hrs

Skills: "Google AI Studio,Gemini interfaces, Multimodal summarization Multimodal analysis, Audio transcription, Code debugging,Storytelling, Version selection"

BASICS
AI Ethics for Beginners
star   4.51 7K+ Learners 1.5 hrs

Skills: Foundations of AI Ethics,Privacy in AI,Bias and Fairness in AI System,Transparency and Explainability ,Case Studies on Ethical AI Project

BASICS
Building AI Products
star   4.23 591 Learners 5 hrs

Skills: AI Products, Industry, Future of AI Products

Trending

BASICS
Artificial Intelligence on Cloud
star   4.81 394 Learners 4.5 hrs

Skills: AI & cloud, AWS, Deployment

BASICS
Big Data and AI
star   4.55 11.7K+ Learners 1 hr

Skills: Big Data, AI Trends

BASICS
AI Product
star   4.42 7.7K+ Learners 1 hr

Skills: Artificial Intelligence in Business

BASICS
AI Data Management
star   4.38 12.1K+ Learners 1 hr

Skills: AI Data Management

Popular

BASICS
AI in Digital Marketing
star   4.49 96K+ Learners 0.5 hr

Skills: AI Marketing Fundamentals, AI Tool Selection, Prompt Engineering, Generative AI Content Creation, AI-Era SEO & Discovery, Marketing Personalization, Paid Ad Targeting, AI Chatbots, Campaign Workflow Building, Marketing Analytics & Measurement

BASICS
Artificial Intelligence with Python
star   4.54 91.2K+ Learners 7.5 hrs

Skills: AI Fundamentals, Python for AI, Neural Networks Basics, Biological vs. Artificial Neurons, Perceptron Mechanism, ANN Architecture, Activation Functions, Forward Propagation, Loss Functions, Keras Framework, Gradient Descent, MNIST Application, TensorFlow

BASICS
Artificial Intelligence Projects
star   4.5 55.9K+ Learners 1.5 hrs

Skills: ANN Model, Keras, Python, Weights, Biasis, Activation, Back Propagation, Time Series Forecasting, ANN and RNN, Understanding image processing, Using Convolutional Neural Networks, Face recognition using Python, Building a virtual assistant

BASICS
Applications of AI
star   4.48 52.5K+ Learners 0.5 hr

Skills: Ethical Applications in the field of Artificial Intelligence

BASICS
Career in Artificial Intelligence
star   4.36 35.7K+ Learners 1 hr

Skills: Career roadmap for Machine Learning and Data Science, Data Science vs Machine Learning vs Artificial Intelligence

BASICS
Robotics and AI
star   4.51 21.3K+ Learners 1 hr

Skills: Robotics Basics, Robot Design,AI Fundamentals,Machine Learning, Algorithms, Neural Networks ,Programming:Python, C++, MATLAB, Robot Operating System (ROS),Feedback Loops,Motion Planning

BASICS
Building Recommendation Systems
star   4.45 14.1K+ Learners 1 hr

Skills: Introduction to Recommendation Systems, Movie Recommendation Demo

BASICS
AI and Big Data in IOT
star   4.48 13K+ Learners 1 hr

Skills: AI in IoT, Big Data in IoT, IoT Analytics

Our learners also choose

Learner reviews of the Free AI Courses

Our learners share their experiences of our courses

4.49
70%
19%
6%
2%
3%
Reviewer Profile

5.0

India
“User-friendly Interface with High-Quality, Interactive Content”
1. Engaging Content Interactive Elements: Quizzes, exercises, and interactive simulations made learning more engaging and practical. Multimedia Resources: Videos, infographics, and animations helped illustrate complex concepts effectively. 2. Clear and Structured Learning Path Well-Organized Modules: Courses and lessons were structured logically, making it easy to follow a clear learning path. Progress Tracking: Tools for tracking progress and completion kept motivation high and helped manage learning goals. 3. User-Friendly Interface Intuitive Navigation: The website had a clean design with easy-to-use navigation, making it simple to find and access different resources. Responsive Design: The site worked well across various devices, ensuring accessibility from both desktop and mobile. 4. Support and Resources Accessible Support: Help sections, FAQs, and support forums were readily available, providing assistance when needed. Additional Resources: Links to supplementary materials, references, and further reading.
Reviewer Profile

5.0

India
“AI Marketing is Rapidly Transforming Digital Marketing”
1. **Data Analytics**: AI excels in analyzing large datasets, enabling marketers to extract actionable insights about customer behavior and preferences. This capability allows for more informed decision-making and strategic planning. 2. **Content Creation**: AI tools can generate marketing content, including social media posts, email campaigns, and even multimedia. While AI can serve as a starting point for content, human oversight is essential for quality and brand alignment. 3. **Automation of Tasks**: By automating repetitive tasks such as scheduling and data entry, AI frees up marketers to focus on strategic initiatives and creative processes. This leads to significant time savings and increased productivity. 4. **Personalization**: AI enhances customer experiences by delivering tailored content and recommendations based on individual user data. This level of personalization can significantly boost engagement and conversion rates. 5. **Predictive Analytics**: AI can forecast customer behavior and market trends, allowing businesses to proactively adjust their strategies. This includes developing targeted marketing campaigns that resonate with specific audience segments.
Reviewer Profile

5.0

India
“AI in Digital Marketing Transforms Business Engagement”
1. Personalization: Dynamic Content: AI analyzes user data to create personalized content and recommendations, tailoring marketing messages to individual preferences and behaviors. Email Campaigns: AI-driven algorithms can segment audiences and personalize email content, improving engagement rates. 2. Customer Insights: Predictive Analytics: AI uses historical data to forecast future trends and customer behavior, enabling businesses to make data-driven decisions. Sentiment Analysis: AI tools analyze social media and review data to gauge customer sentiment and adjust marketing strategies accordingly. 3. Chatbots and Virtual Assistants: Customer Support: AI-powered chatbots provide instant customer support, answer frequently asked questions, and guide users through processes, improving customer service and satisfaction. Lead Generation: Chatbots engage visitors, qualify leads, and collect information, generating potential sales opportunities. 4. Ad Targeting and Optimization: Programmatic Advertising: AI optimizes ad placements by analyzing user data and behavior to target the right audience with relevant ads. Bid Management: AI algorithms automate and optimize bidding strategies for paid search and display ads to maximize return on investment (ROI). 5. Content Creation: Automated Writing: AI tools generate content for blogs, social media, and advertisements, reducing the time and effort required for content creation. Visual Content: AI can assist in creating visual content, such as graphics and videos, by analyzing trends and user preferences. 6. Search Engine Optimization (SEO): Keyword Research: AI tools help identify relevant keywords and analyze their effectiveness, improving search engine rankings. Content Recommendations: AI suggests content topics and improvements based on SEO trends and user interests. 7. Social Media Management: Trend Analysis: AI identifies trending topics and hashtags, allowing marketers to create timely and relevant social media content. Engagement Tracking: AI tools analyze social media interactions to gauge the effectiveness of campaigns and adjust strategies. 8. Performance Measurement: Analytics and Reporting: AI provides in-depth analysis of marketing performance, identifying key metrics and trends to optimize campaigns. A/B Testing: AI automates and accelerates A/B testing processes, optimizing marketing strategies based on real-time data. 9. Customer Journey Mapping: Behavior Tracking: AI tracks and analyzes customer interactions across various touchpoints, creating detailed maps of the customer journey and identifying opportunities for improvement. 10. Voice and Visual Search: Voice Search Optimization: AI assists in optimizing content for voice search queries, improving visibility in voice search results. Visual Search: AI enables users to search for products and information using images, enhancing the search experience.
Reviewer Profile

5.0

India
“Simple Yet Effective Learning Experience”
I recently completed the AI in Marketing course, and it was an exceptional experience! The course provided a perfect blend of theoretical knowledge and practical applications, making it easy to understand how AI can revolutionize marketing strategies. The content was well-structured, covering everything from the basics of AI and machine learning to advanced tools and techniques used in marketing today. The instructors were knowledgeable and engaging, using real-world examples and case studies to illustrate complex concepts. I particularly appreciated the hands-on exercises and interactive sessions that allowed me to apply what I learned in real-time. The course has given me a deeper understanding of AI's potential in enhancing customer experience, optimizing campaigns, and driving data-driven decision-making. Overall, I highly recommend this course to anyone looking to stay ahead in the ever-evolving field of marketing. It's an invaluable resource for marketers who want to harness the power of AI to achieve better results and grow their businesses.
Reviewer Profile

5.0

India
“Excellent Course for Mastering AI in Marketing”
I thoroughly enjoyed the "AI in Digital Marketing" course! It was well-structured and covered a wide range of topics, from AI-driven content creation to optimizing ad campaigns with machine learning. The instructors explained the concepts in a way that was both accessible and detailed, and I appreciated the real-world examples that made the lessons feel highly relevant.
Reviewer Profile

5.0

Saudi Arabia
“In-Depth and Engaging Learning Experience”
The course provided a well-structured and comprehensive curriculum that covered a wide range of topics in depth. The detailed exploration of each subject allowed for a deeper understanding and practical application of the concepts. Overall, the course was engaging and highly informative, making the learning experience enjoyable and valuable.
Reviewer Profile

5.0

India
“AI in Digital Marketing and Content Marketing”
The digital marketing course provided a comprehensive overview of key concepts and strategies. The modules on SEO, social media marketing, and content creation were particularly insightful. Including real-world examples and case studies greatly enhanced my understanding and ability to apply the concepts.
Reviewer Profile

5.0

India
“Great Knowledge and Great Learning”
I thoroughly enjoyed the course. The content was well-structured, providing a comprehensive overview of the subject matter. The instructors were knowledgeable and delivered the material in an engaging and easy-to-understand manner. The blend of theoretical concepts and practical applications helped solidify my understanding. Additionally, the course resources, including assignments and supplementary materials, were valuable in reinforcing the lessons. Overall, the course exceeded my expectations and has significantly enhanced my skills in the area.
Reviewer Profile

4.0

India
“AI in Digital Marketing at Great Learning”
Great Learning’s course on AI in Digital Marketing explores the transformative role of artificial intelligence in marketing strategies. It covers topics such as predictive analytics, customer segmentation, and personalized content. Learners gain practical skills in using AI tools to enhance campaign effectiveness, optimize customer engagement, and drive data-driven decision-making in marketing.
Reviewer Profile

4.0

India
“Strong Understanding of AI in Digital Marketing”
I gained a strong understanding of how Artificial Intelligence can transform digital marketing strategies. I learned about various AI applications, including chatbots for lead generation, predictive analytics for customer insights, and personalized content recommendations. Hands-on exercises helped me apply AI tools to optimize ad targeting, automate customer segmentation, and enhance customer engagement. This experience has equipped me with practical skills to leverage AI for creating more effective, data-driven marketing campaigns.

Meet your faculty

Meet industry experts who will teach you relevant skills in artificial intelligence

instructor img

Prof. Mukesh Rao

Senior Faculty, Academics, Great Learning
  • 20+ years of expertise in AI, machine learning, and analytics
  • Director - Academics at Great Learning
instructor img

Mr. Nirmallya Mukherjee

Program Director & Faculty - PGPCC, Great Learning
  • 25+ years across IT/ITES in services and products
  • Ex-Chief Architect at Dell, Principal Architect at Infosys
instructor img

Dr. Kumar Muthuraman

Faculty Director, McCombs School of Business, The University of Texas at Austin
  • Faculty Director, Center for Analytics and Transformative Technologies
  • 21+ years' experience in AI, ML, Deep Learning, and NLP.

Frequently Asked Questions

What fundamental AI concepts are covered in these free AI courses for beginners?

The curriculum provides a complete introduction to the mechanics of Artificial Intelligence. You will learn the definitions of AI, the history of the field, and the difference between Machine Learning and Deep Learning. Core technical topics include Neural Networks, secure system design methodology, and risk assessment within AI frameworks.

Do these courses cover Natural Language Processing (NLP)?

Yes. There is a strong focus on how machines process human language. You will learn technical skills such as Tokenization, Stemming, lemmatization, and removing stopwords. The courses also teach practical NLP applications, such as sentiment analysis, and the use of libraries like TextBlob.

Is Computer Vision included in the curriculum?

Absolutely. You will learn the basics of how AI "sees" and interprets images. This includes advanced techniques such as Semantic Segmentation, U-Net architectures, and image classification, which are foundational to industries like autonomous driving and medical imaging.

Will I learn about Generative AI and ChatGPT?

Yes, the curriculum has been updated to include modern Generative AI tools. Specific courses cover:

  • Sora AI: Learning to create video content and storyboards.

  • ChatGPT: Using AI for art generation and text-based productivity.

  • Style Transfer: Specifically using AI to recreate unique visual aesthetics, such as Ghibli-style art


Are there courses on Prompt Engineering?

Yes. These free AI courses online teach you how to interact efficiently with AI tools. You will learn how to craft prompts that generate high-quality images, videos, and text, focusing on "Digital-First" mindsets to improve workplace productivity

What career-oriented information is provided?

These free AI courses include a dedicated "Pathway to Becoming an AI Engineer." It defines the role, outlines career progression, and highlights the specific technical and leadership skills required to succeed. There is also a specific track for AI Product Management that covers lifecycle management, stakeholder interaction, and version control.

How does AI relate to business and customer experience in these best AI courses for beginners?

Beyond coding, these free AI training courses cover AI and the Customer Journey. You will learn how to use AI for customer journey mapping, retention strategies, and optimizing "Lifetime Value." This is particularly helpful for marketing and business professionals looking to integrate AI into their existing workflows.

Is prior coding experience required to start?

Most of these free AI courses online are marked as BASICS and are designed for beginners. While more advanced tracks like "Deep Learning with TensorFlow" benefit from Python knowledge, many courses, such as AI for Everyone and AI for All, require no coding background and focus on terminology and business applications.

How long does it take to complete a course?

The courses are designed to be "bite-sized" and efficient. Most range from 1 to 4 hours in total duration. This makes them ideal for busy professionals or students looking to upskill over a weekend or during a commute.

What skills will I gain by enrolling in these best free AI courses?

By enrolling in any of the best AI courses for beginners, you will build a versatile toolkit that spans technical, creative, and strategic domains. These skills are designed to make you immediately competitive in an AI-driven job market:

  • Machine Learning & Deep Learning: Master the mechanics of supervised and unsupervised learning. You will gain hands-on experience building multi-layered Neural Networks and using frameworks like TensorFlow.

  • Natural Language Processing (NLP): Learn how machines process human language through technical steps like tokenization, stemming, and lemmatization. You will also build practical applications, such as Sentiment Analysis.

  • Generative AI & Prompt Engineering: Master the art of "talking" to AI. You will learn to use Sora AI for video generation, ChatGPT for art and text, and apply Prompt Engineering to maximize the quality of AI outputs.

  • Computer Vision: Understand how AI interprets visual data using advanced techniques like semantic segmentation and U-Net architectures.

  • AI Product Management & Strategy: Learn to manage the full AI lifecycle, from prototyping to stakeholder interaction. You will also gain skills in AI Ethics, enabling you to lead responsible, bias-free AI initiatives.

  • Business Growth & Productivity: Develop a "Digital-First" mindset. You will learn to use AI for Customer Journey Mapping, optimizing retention, and boosting organizational efficiency.

How much do these free AI courses with Certificate cost?

It is the entirely free courses list from Great Learning Academy. Anyone interested in learning the basics of AI can get started with these courses.

Why choose Great Learning Academy for Artificial Intelligence free Courses with Certificate?

Great Learning Academy offers you a wide range of free ai courses online. Our courses are flexible and self-paced, making it easy for you to grasp complex AI concepts with solved problems and real-world examples. Whether you're just starting out or already experienced, our courses are designed to cater to your learning preferences. Plus, they're taught by experts in the field, ensuring a thorough and enjoyable learning journey that equips you with the skills to succeed in artificial intelligence.

What are the steps to enroll in these Free AI Training Courses?

Enrolling in any of the Great Learning Academy’s courses is just a one-step process. Sign-up for the courses, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to these free AI courses?

Once you enroll, you get lifetime access to the course content. This allows you to learn at your own pace and return to specific modules whenever you need a refresher on a particular tool or technique.

Can a student take up the best AI courses for beginners after their 12th?

Yes, these free artificial intelligence courses are available for both beginners and advanced levels.

What is the right shift after completing these free AI courses: no-code application or deeper technical expertise?

Your next step depends on how you want to work with AI. To build machine learning models, GenAI solutions, RAG pipelines, and AI agents without programming, explore the No Code AI and Agentic AI Program from MIT Professional Education. For deeper study in Python, machine learning, deep learning, NLP, computer vision, and Generative AI, explore the Post Graduate Program in Artificial Intelligence and Machine Learning from Texas McCombs. Both offer applied projects, so choose based on your technical background and career direction.