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Free Artificial Intelligence (AI) Courses
Great Learning Academy’s Free AI courses offer a solid foundation in key concepts, including machine learning, NLP, Python programming, data wrangling, visualization, and analysis. Build a solid foundation in statistics, Python, and machine learning before diving into convolutional and recurrent neural networks.
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McCombs School of Business at The University of Texas at Austin
7 months  • Online
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MIT IDSS
12 weeks  • Online
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University of Arizona
2 Years  • Online/Hybrid
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Free AI Courses
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Skills: Ethical Applications in the field of Artificial Intelligence
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Skills: CNN,ANN,RNN,Tensorflow,Deep Learning Algorithms
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Skills: Tensorflow,Keras,Neural Networks,Linear Regression using Tensorflow,MNIST Character Recognition ,Image classification using CNN
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Skills: TensorFlow library,Deep Learning,Neural Networks,Artificial Intelligence,Image Classification,Tensors,Python
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Skills: Multilayer Perceptron (MLP)
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Skills: Data augmentation, Model training & tuning, Regularization, Image processing (NNs), Feature & object detection, Image classification, CV problem-solving, Pixel & image manipulation
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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
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Skills: Tokenization, stemming, lemmatization, removing stopwords, NLP modeling techniques, machine learning, logistic regression, sentiment analysis, TextBlob, TextBlob sentiment analysis, U-Net, semantic segmentation
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Skills: Python, Natural Language Processing, chatbot architecture, use of libraries (e.g. NLTK, transformers), APIs, user interaction logic
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Skills: Career roadmap for Machine Learning and Data Science, Data Science vs Machine Learning vs Artificial Intelligence
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Skills: Introduction to AI, ML, Deep Learning, Neural Networks etc . Demo on Classification, Regression, and A Simple Case Study
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Skills: Ethical Applications in the field of Artificial Intelligence
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Skills: CNN,ANN,RNN,Tensorflow,Deep Learning Algorithms
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Skills: Tensorflow,Keras,Neural Networks,Linear Regression using Tensorflow,MNIST Character Recognition ,Image classification using CNN
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Skills: TensorFlow library,Deep Learning,Neural Networks,Artificial Intelligence,Image Classification,Tensors,Python
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Skills: Multilayer Perceptron (MLP)
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Skills: Data augmentation, Model training & tuning, Regularization, Image processing (NNs), Feature & object detection, Image classification, CV problem-solving, Pixel & image manipulation
View Course
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
View Course
Skills: Tokenization, stemming, lemmatization, removing stopwords, NLP modeling techniques, machine learning, logistic regression, sentiment analysis, TextBlob, TextBlob sentiment analysis, U-Net, semantic segmentation
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Skills: Python, Natural Language Processing, chatbot architecture, use of libraries (e.g. NLTK, transformers), APIs, user interaction logic
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Skills: Career roadmap for Machine Learning and Data Science, Data Science vs Machine Learning vs Artificial Intelligence
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Skills: Introduction to AI, ML, Deep Learning, Neural Networks etc . Demo on Classification, Regression, and A Simple Case Study
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Explore Courses
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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Skills: Definition of AI Engineer, Career Progression, Ethical Principles in AI, Leadership and ethical decision-making
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Skills: Customer journey mapping, AI in customer experience, Customer lifecycle management, Customer retention, Lifetime value optimization
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Skills: AI Product Manager Responsibilities, AI Integration, Lifecycle Management, Stakeholder Interaction, Data Privacy, Data Visualization, Prototyping, Customer Feedback, Version Control
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Skills: AI art, Ghibli trend, Ghibli aesthetics, visual style, ChatGPT art, tool comparison, style learning, AI creativity, style transfer
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Skills: Sora, ChatGPT, Sora GUI, Archival, Film Noir, Image Generation, Video Generation, Storyboard generation
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Skills: Mistral AI Models, Mistral 7B model, AI Models, GPT 4.0, Claude 3.7, Miistral AI API
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Skills: Firebase, Project IDX, Gemini, AI tools, Fisebase studio
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Skills: Code debugging, Real-time application development, Integration of AI features, Installation and setup procedures, Practical hands-on exercises.
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Skills: Introduction to Text Mining, Cleaning Data, Hierarchical Clustering in Text Analytics
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Skills: Multilayer Perceptron (MLP)
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Skills: NLP Use-cases, NLP Project
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Skills: Batch Normalization, Regularization and Normalization in BN, Side Effects, Advantages in BN
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Skills: Computer Vision Overview, Working with Images , OpenCV Basics
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Skills: AI integration, Real-time coding, AI functionality, IDE selection Configuration, Prompt Engineering
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Skills: Data augmentation, Model training & tuning, Regularization, Image processing (NNs), Feature & object detection, Image classification, CV problem-solving, Pixel & image manipulation
View Course
Skills: CNN,ANN,RNN,Tensorflow,Deep Learning Algorithms
View Course
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
View Course
Skills: Ethical Applications in the field of Artificial Intelligence
View Course
Skills: Tokenization, stemming, lemmatization, removing stopwords, NLP modeling techniques, machine learning, logistic regression, sentiment analysis, TextBlob, TextBlob sentiment analysis, U-Net, semantic segmentation
View Course
Skills: Python, Natural Language Processing, chatbot architecture, use of libraries (e.g. NLTK, transformers), APIs, user interaction logic
View Course
Skills: Career roadmap for Machine Learning and Data Science, Data Science vs Machine Learning vs Artificial Intelligence
View Course
Skills: Introduction to AI, ML, Deep Learning, Neural Networks etc . Demo on Classification, Regression, and A Simple Case Study
View Course
New
Skills: Definition of AI Engineer, Career Progression, Ethical Principles in AI, Leadership and ethical decision-making
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Skills: Customer journey mapping, AI in customer experience, Customer lifecycle management, Customer retention, Lifetime value optimization
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Skills: AI Product Manager Responsibilities, AI Integration, Lifecycle Management, Stakeholder Interaction, Data Privacy, Data Visualization, Prototyping, Customer Feedback, Version Control
View Course
Skills: AI art, Ghibli trend, Ghibli aesthetics, visual style, ChatGPT art, tool comparison, style learning, AI creativity, style transfer
View Course
Skills: Sora, ChatGPT, Sora GUI, Archival, Film Noir, Image Generation, Video Generation, Storyboard generation
View Course
Skills: Mistral AI Models, Mistral 7B model, AI Models, GPT 4.0, Claude 3.7, Miistral AI API
View Course
Skills: Firebase, Project IDX, Gemini, AI tools, Fisebase studio
View Course
Skills: Code debugging, Real-time application development, Integration of AI features, Installation and setup procedures, Practical hands-on exercises.
View Course
Trending
Skills: Introduction to Text Mining, Cleaning Data, Hierarchical Clustering in Text Analytics
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Skills: Multilayer Perceptron (MLP)
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Skills: NLP Use-cases, NLP Project
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Skills: Batch Normalization, Regularization and Normalization in BN, Side Effects, Advantages in BN
View Course
Skills: Computer Vision Overview, Working with Images , OpenCV Basics
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Skills: AI integration, Real-time coding, AI functionality, IDE selection Configuration, Prompt Engineering
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Popular
Skills: Data augmentation, Model training & tuning, Regularization, Image processing (NNs), Feature & object detection, Image classification, CV problem-solving, Pixel & image manipulation
View Course
Skills: CNN,ANN,RNN,Tensorflow,Deep Learning Algorithms
View Course
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
View Course
Skills: Ethical Applications in the field of Artificial Intelligence
View Course
Skills: Tokenization, stemming, lemmatization, removing stopwords, NLP modeling techniques, machine learning, logistic regression, sentiment analysis, TextBlob, TextBlob sentiment analysis, U-Net, semantic segmentation
View Course
Skills: Python, Natural Language Processing, chatbot architecture, use of libraries (e.g. NLTK, transformers), APIs, user interaction logic
View Course
Skills: Career roadmap for Machine Learning and Data Science, Data Science vs Machine Learning vs Artificial Intelligence
View Course
Skills: Introduction to AI, ML, Deep Learning, Neural Networks etc . Demo on Classification, Regression, and A Simple Case Study
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Learner reviews of the Free AI Courses
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Meet your faculty
Meet industry experts who will teach you relevant skills in artificial intelligence
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IIT Roorkee, IIM Ahmedabad alumnus with 20+ years of experience
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Director at Ericsson specializing in AI, ML, and analytics
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 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.
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