Free AI and ML Projects Course

Artificial Intelligence and Machine Learning Projects

star 4.45  Beginner level 2.25 learning hrs 4.5K+ Learners

Free AI and ML projects training helps beginners practice Python use cases in face recognition, emotion detection, sentiment analysis, fake news detection, gender identification, movie recommendations through applied examples.

Instructor:

Mr. Anirudh Rao

Key Highlights

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About this course

Portfolio-minded beginners often need an AI and ML projects course that turns broad concepts into visible use cases. This free course introduces project-led learning through face recognition with Python, emotion detection, Twitter sentiment analysis, gender identification from photos, fake news detection, and a movie recommendation system.


The course is useful for beginners who want to move from definitions into applied artificial intelligence and machine learning projects. Each topic shows a different kind of problem, such as computer vision, text analysis, classification, or recommendation. Use it to understand project possibilities, prepare for portfolio ideas, and decide which machine learning algorithms, Python libraries, and applied AI workflows you should study next before deeper practice.

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Course outline

Face Recognition with Python

In this video, you will learn how to implement face recognition using Python. It is a method of identifying or verifying the identity of an individual using their face.

Emotion Detection using Python

In this video, you will learn how to analyze facial expressions using Python and Machine Learning techniques to detect emotions such as happiness, sadness, and anger from images.

Twitter Sentiment Analysis using Python

In this video, you will learn how to implement and analyze sentiment analysis using Python. This will help you detect the context of speech in tweets.

Gender Identification in Photo using Python

In this video, you will learn how to build a Machine Learning model using Python to automatically identify the gender of a person in a given image.

Fake News Detection using Machine Learning

In this video, you will learn how to detect fake news using Machine Learning algorithms.

Build a Movie Recommendation System using Machine Learning

In this video, you will how to build a movie recommendation system using Machine Learning algorithms. It will help you in predicting users' movie preferences.

Get access to the complete curriculum once you enroll in the course

Artificial Intelligence and Machine Learning Projects

rating icon 4.45

2.25 Hours

Beginner

4.5K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

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Learner reviews of the Free Courses

4.45
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Reviewer Profile

5.0

India
“Very Helpful and Beginner-Friendly Course”
This course helped me understand machine learning and computer vision concepts clearly. The examples and practice questions improved my confidence. I liked the simple explanation style. It is very useful for beginners like me.
Reviewer Profile

5.0

India
“Artificial Intelligence and Machine Learning Projects”
The Artificial Intelligence and Machine Learning Projects course was very informative and practical. It helped me understand the basic concepts of AI and ML and how they are applied in real-world projects. The hands-on examples and project-based learning improved my problem-solving skills and gave me confidence to work on AI-related applications. Overall, the course was very useful for gaining foundational knowledge in AI and Machine Learning.
Reviewer Profile

5.0

India
“Key Insights from My Machine Learning Journey”
I found the process of learning machine learning concepts and applying them to real-world problems incredibly rewarding. The hands-on projects, particularly in supervised and unsupervised learning, helped solidify my understanding of the theory. I especially enjoyed working on data preprocessing and using different algorithms to improve model accuracy. This experience has greatly enhanced my problem-solving skills and provided me with a solid foundation for future projects
Reviewer Profile

5.0

India
“An extraordinary and informative course”
I thoroughly enjoyed this course and found it to be highly informative and engaging. The curriculum was well-structured, covering a wide range of topics in depth. The instructors were knowledgeable and presented the material in a clear and concise manner. The quizzes and assignments were challenging yet fair, helping to reinforce the concepts learned. Overall, this course provided a comprehensive learning experience that was both enjoyable and educational.
Reviewer Profile

5.0

India
“"An Engaging and Informative Course Experience"”
I thoroughly enjoyed this course and found it to be highly informative and engaging. The curriculum was well-structured, covering a wide range of topics in depth. The instructors were knowledgeable and presented the material in a clear and concise manner. The quizzes and assignments were challenging yet fair, helping to reinforce the concepts learned. Overall, this course provided a comprehensive learning experience that was both enjoyable and educational.
Reviewer Profile

5.0

India
“Insights Gained from My Learning Journey”
I enjoyed the process of learning new technologies and applying them to build meaningful projects. It was fulfilling to see how my skills developed, especially when I could overcome difficult obstacles and achieve my goals.
Reviewer Profile

5.0

India
“Understanding the face detection algorithm and its ways ”
I understood the face detection algorithm in depth and I understood the emotional facial recognition and other types of,This is a very great experience of learning thank you Great Learning for the opportunity
Reviewer Profile

5.0

India
“face recognition using python in opencv”
Robustness: OpenCV provides a variety of tools for face detection (e.g., Haar cascades, DNN modules) that can handle different lighting conditions and angles. Ease of Use: Python’s syntax is user-friendly, making it easier to implement and modify face recognition algorithms. Real-time Processing: OpenCV is optimized for performance, allowing for real-time face recognition in video streams. Integration: It can easily integrate with other libraries, such as NumPy for numerical operations and Matplotlib for visualizing results.
Reviewer Profile

5.0

India
“AI AND ML ”
GOOD
Reviewer Profile

5.0

India
“Awesome Learning Experience! Exceptional Learning Experience with Great Learning Platform”
I loved the learning experience with Great Learning! The platform is incredibly user-friendly and offers a wide range of high-quality courses. The content is well-structured and engaging, and the practical applications provided are invaluable for reinforcing the concepts. The interactive elements and real-world projects really helped deepen my understanding. Overall, it's a fantastic platform for anyone looking to enhance their skills and knowledge. Highly recommend!

What our learners enjoyed the most

Our course instructor

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Mr. Anirudh Rao

Machine Learning Expert

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785.9K+ Learners
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79 Courses
Anirudh has been working in the field of Data Science and has expertise over Python, Machine Learning and other concepts in the field of data analysis. He is also proficient in the concept of Deep Learning and its usage in a production environment. Expertise extends towards working on various projects in the domain of Artificial Intelligence and Neural Networks as well.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What projects are covered in this AI and ML projects course?

The course covers face recognition, emotion detection, Twitter sentiment analysis, gender identification, fake news detection, and movie recommendations as applied examples.

What are the prerequisites required to learn this Artificial Intelligence and Machine Learning Projects Course?

You do not need any prior knowledge except knowing what basics of Machine Learning and Python to learn this Artificial Intelligence and Machine Learning Projects  Course. 

What will I learn in this free Machine Learning Projects course?

You will study analytics, machine learning, datasets, and methods so the topic learningls easier to use in real learning situations. The focus is on useful foundations, not memorizing terms.

How long does it take to complete this free Artificial Intelligence and Machine Learning Projects course?

Artificial Intelligence and Machine Learning Projects is a 1.5-hour long course, but it is self-paced. Once you enroll, you can take your own time to complete the course.

Is this free AI projects course beginner-friendly?

It is suitable for beginners who know basic AI or machine learning concepts and want to see how project ideas are applied with Python, images, and text data.

Who should start with this Machine Learning Projects course?

This course is useful for learners who want to connect concepts with data-backed decisions and project practice. It starts with the basics, then shows how analytics and machine learning connect to practical decisions.

Will I have lifetime access to the free course?

Yes, once you enroll in the course, you will have lifetime access to any of the Great Learning Academy’s free courses. You can login and learn whenever you want to.

How does Machine Learning Projects help in practical learning?

Machine Learning Projects becomes useful when you can analyze the basics, compare examples, and explain why each step matters. The course keeps those ideas tied to beginner-friendly practice.

Will I learn machine learning projects for beginners?

The course introduces beginner-friendly project areas across computer vision, text analysis, classification, and recommendation systems so you can choose a path.

Is it worth learning this Artificial Intelligence and Machine Learning Projects Course?

If you are interested in pursuing a career in Artificial Intelligence or related fields, this course can be a great starting point to gain an understanding of Machine Learning and develop practical skills through hands-on projects.

What Machine Learning Projects basics should I know before advanced study?

Focus first on analytics, machine learning, datasets, and the common mistakes beginners make. These basics make advanced lessons easier to follow later.

Does the course include Python AI projects?

Python appears across the project examples, helping learners understand how AI and ML use cases can be built around real inputs such as images, text, and news data.

Can this course help with portfolio project ideas?

It can help you identify portfolio directions, especially if you want project themes in recognition, sentiment analysis, fake news detection, or recommendation engines.

Can beginners learn Machine Learning Projects online through this course?

Beginners can use the lessons to build a clear starting point for Machine Learning Projects. The flow keeps concepts, examples, and practice connected so online learning learningls structured.

Will I get a certificate after completing this Artificial Intelligence and Machine Learning Projects Free course?

Yes, you will get a certificate of completion after completing all the modules and cracking the assessment. 
 

What machine learning skills will I understand?

You will understand how ML project topics relate to algorithms, datasets, prediction tasks, model use cases, and application-level problem solving for learners.

How much does this Artificial Intelligence and Machine Learning Projects Course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning Artificial Intelligence and Machine Learning Projects can start this course.

What makes this Machine Learning Projects training useful for projects?

The training helps you connect analytics with machine learning and datasets, which is important when turning a lesson into an assignment, portfolio task, or workplace example.

Who should take an artificial intelligence projects course?

Students, early AI learners, and Python learners can use it to explore practical project paths before choosing deeper machine learning training or project practice.

Is there any limit on how many times I can take this free course?

No. There is no limit. Once you enroll in the Artificial Intelligence and Machine Learning Projects  Course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

How should I practice after finishing Machine Learning Projects?

After finishing, revisit the core terms, repeat one small example, and explain your steps aloud. Then move into dataset practice, project notebooks, evaluation metrics, and a more advanced analytics or ML course...

What should I learn after this AI and ML projects course?

Next, study Python for machine learning, data preprocessing, model evaluation, computer vision, NLP basics, deployment, and stronger applied AI project workflows.

What questions does this free Machine Learning Projects course answer for learners?

It answers how Machine Learning Projects works, where it is used, which basics matter first, and how learners can move from definitions to practical examples without getting lost in advanced details.

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Artificial Intelligence and Machine Learning Projects

Artificial intelligence (AI) and machine learning (ML) have rapidly gained popularity over the past decade, with businesses and organizations increasingly leveraging these technologies to improve efficiency, automate processes, and gain insights from data. In this article, we will explore some of the most exciting and innovative AI and ML projects in various industries.

Healthcare
The healthcare industry has been quick to adopt AI and ML, with the potential to revolutionize the diagnosis and treatment of various diseases. One notable project is the Deep Patient system developed by researchers at Mount Sinai Hospital in New York. This system uses a deep learning algorithm to analyze electronic health records of patients and predict potential health problems, enabling doctors to make more informed decisions. Another project is the Google DeepMind system, which uses ML to analyze medical images and provide early detection of conditions such as breast cancer and diabetic eye disease.

Finance
AI and ML are transforming the finance industry by automating processes and providing insights for better decision-making. One example is the robo-advisory platform developed by Betterment, which uses ML algorithms to create personalized investment portfolios for clients based on their risk tolerance and investment goals. Another project is the Fraud Detection and Prevention system developed by Feedzai, which uses ML to analyze millions of transactions in real-time and detect potential fraudulent activity.

Transportation
The transportation industry is increasingly using AI and ML to improve safety, efficiency, and sustainability. One project is the Waymo self-driving car, which uses deep learning algorithms to analyze sensor data and make decisions based on traffic conditions. Another project is the Intelligent Transport System (ITS) developed by Siemens, which uses ML to analyze traffic data and optimize traffic flow in real time.

Education
AI and ML are transforming education by providing personalized learning experiences and improving student outcomes. One project is the Carnegie Learning system, which uses ML algorithms to analyze student data and create personalized learning plans. Another project is the IBM Watson Education system, which uses AI to analyze data and provide insights for educators to improve student performance.

Retail
The retail industry is leveraging AI and ML to improve customer experiences, increase sales, and optimize operations. One example is the Amazon Go store, which uses AI to track customer purchases and eliminate the need for checkout lines. Another project is the H&M intelligent merchandising system, which uses ML to analyze customer data and provide personalized product recommendations.

Manufacturing
AI and ML are transforming the manufacturing industry by automating processes and improving product quality. One project is the GE Brilliant Factory system, which uses ML to analyze data from sensors on manufacturing equipment and identify potential problems before they occur. Another project is the BMW predictive maintenance system, which uses AI to analyze data from sensors on vehicles and predict potential maintenance issues, enabling proactive maintenance.

Energy
AI and ML are transforming the energy industry by optimizing energy production, reducing costs, and improving sustainability. One project is the DeepMind AI system, which uses ML to optimize energy consumption in Google data centers, reducing energy usage by up to 40%. Another project is the GE Digital Wind Farm system, which uses ML to analyze data from wind turbines and optimize their performance.

Conclusion

AI and ML are transforming various industries by providing new insights, improving efficiency, and automating processes. As these technologies continue to develop, we can expect to see even more exciting and innovative projects in the future. However, it's important to remember that these technologies also raise important ethical and societal questions that must be carefully considered and addressed.
 

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