Learn Aritificial Intelligence Online: Free Course with AI Tutor & Certificate
Companies struggle to automate complex tasks, creating high demand for AI skills. This free artificial intelligence course teaches you the fundamentals across 12 modules and 84 video lessons. In about 2 hours, you'll master neural networks and natural language processing, preparing you to build real-world machine learning systems.
What you'll learn in this Aritificial Intelligence course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Understand the fundamentals of Artificial Intelligence and its history and evolution.
Gain knowledge of various machine learning techniques such as supervised learning, unsupervised learning, and reinforcement learning.
Develop an understanding of deep learning concepts, including neural networks, convolutional neural networks (CNN), and recurrent neural networks (RNN).
Learn about natural language processing (NLP) and its applications, including text preprocessing, sentiment analysis, and named entity recognition.
Acquire knowledge of computer vision techniques, such as image processing, object detection and recognition, and image segmentation.
Aritificial Intelligence course syllabus
01 Introduction to Artificial Intelligence
- What is Artificial Intelligence?
- History and Evolution of Artificial Intelligence
- Applications of Artificial Intelligence
- Ethical Considerations in Artificial Intelligence
02 Machine Learning Basics
- Introduction to Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
03 Deep Learning Fundamentals
- Introduction to Deep Learning
- Neural Networks and Deep Learning
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
04 Natural Language Processing (NLP)
- Introduction to Natural Language Processing
- Text Preprocessing and Tokenization
- Sentiment Analysis
- Named Entity Recognition
05 Computer Vision
- Introduction to Computer Vision
- Image Processing Techniques
- Object Detection and Recognition
- Image Segmentation
06 Robotics and AI
- Introduction to Robotics
- Robot Perception and Sensing
- Robot Control and Planning
- Human-Robot Interaction
07 AI in Healthcare
- Applications of AI in Healthcare
- Medical Imaging and Diagnosis
- Predictive Analytics in Healthcare
- Personalized Medicine
08 AI in Finance
- Applications of AI in Finance
- Fraud Detection and Prevention
- Algorithmic Trading
- Risk Assessment and Management
09 AI in Marketing
- Applications of AI in Marketing
- Customer Segmentation and Targeting
- Recommendation Systems
- Predictive Analytics in Marketing
10 AI in Education
- 1 Applications of AI in Education
- 1.1 AI for Personalized Learning|Exploring how AI facilitates personalized learning experiences for students.
- 1.2 AI in Educational Administration|Understanding the use of AI for administrative tasks in educational institutions.
- 1.3 AI for Accessibility in Education|Discussing the role of AI in making education more accessible to diverse learners.
- 2 Intelligent Tutoring Systems
- 2.1 Fundamentals of Intelligent Tutoring|Defining intelligent tutoring systems and their educational objectives.
- 2.2 Designing Intelligent Tutors|Exploring the considerations in designing AI-driven tutoring systems.
- 2.3 Effectiveness of Intelligent Tutoring|Understanding the impact of intelligent tutoring on student learning outcomes.
- 3 Adaptive Learning
- 3.1 Concept of Adaptive Learning|Introducing adaptive learning and its significance in education.
- 3.2 AI in Creating Adaptive Content|Exploring how AI tailors educational content to individual learning styles.
- 3.3 Assessing Adaptive Learning Systems|Discussing the methods for evaluating the effectiveness of adaptive learning.
- 4 Automated Grading and Feedback
- 4.1 AI in Assessment|Understanding the use of AI for grading and providing feedback on student work.
- 4.2 Challenges in Automated Grading|Exploring the limitations and potential biases in AI grading systems.
- 4.3 Future of AI in Educational Assessment|Predicting the advancements and future applications of AI in grading.
11 AI in Transportation
- 1 Applications of AI in Transportation
- 1.1 AI for Traffic Flow Optimization|Exploring how AI is used to manage and optimize traffic flow.
- 1.2 AI in Public Transportation Systems|Understanding the integration of AI in public transit operations and planning.
- 1.3 AI for Sustainable Transportation|Discussing the role of AI in promoting sustainable transportation solutions.
- 2 Autonomous Vehicles
- 2.1 Fundamentals of Autonomous Driving|Defining autonomous vehicles and the technology behind them.
- 2.2 Sensors and AI in Autonomous Vehicles|Exploring the sensor technologies and AI algorithms used in self-driving cars.
- 2.3 Legal and Ethical Issues of Autonomous Vehicles|Understanding the regulatory and ethical considerations of autonomous driving.
- 3 Traffic Management Systems
- 3.1 AI in Traffic Control and Management|Introducing the use of AI in traffic signal control and congestion management.
- 3.2 Predictive Traffic Modeling|Exploring AI models for predicting traffic patterns and managing demand.
- 3.3 Smart Infrastructure and AI|Discussing the integration of AI with smart city infrastructure for traffic management.
- 4 Predictive Maintenance
- 4.1 Principles of Predictive Maintenance|Defining predictive maintenance and its importance in transportation.
- 4.2 AI for Maintenance Prediction|Exploring how AI predicts maintenance needs for vehicles and infrastructure.
- 4.3 Implementing AI in Maintenance Systems|Understanding the challenges and best practices in deploying AI for maintenance.
12 AI in Agriculture
- 1 Applications of AI in Agriculture
- 1.1 AI for Crop Management|Exploring the use of AI in monitoring and managing crop health and growth.
- 1.2 AI in Livestock Farming|Understanding how AI is applied to livestock monitoring and management.
- 1.3 AI for Sustainable Farming Practices|Discussing the role of AI in promoting sustainability in agriculture.
- 2 Crop Monitoring and Yield Prediction
- 2.1 Remote Sensing and AI|Introducing the use of remote sensing technologies and AI for crop monitoring.
- 2.2 Machine Learning for Yield Prediction|Exploring machine learning models for predicting agricultural yields.
- 2.3 Challenges in AI-Driven Crop Monitoring|Discussing the limitations and accuracy of AI in yield prediction.
- 3 Pest and Disease Detection
- 3.1 AI for Pest Identification|Understanding how AI helps in identifying and classifying agricultural pests.
- 3.2 AI in Disease Diagnosis for Crops|Exploring the use of AI for early detection and diagnosis of crop diseases.
- 3.3 Integrated Pest Management with AI|Discussing the integration of AI in comprehensive pest management strategies.
- 4 Precision Farming Techniques
- 4.1 Introduction to Precision Farming|Defining precision farming and its goals in modern agriculture.
- 4.2 AI-Driven Precision Farming Tools|Exploring the AI tools and technologies used in precision farming.
- 4.3 Impact of Precision Farming on Agriculture|Understanding the benefits and challenges of adopting precision farming practices.
Real-world projects you'll work on
Practice the exact kind of work Aritificial Intelligence professionals do on the job.
AI-powered Fraud Detection and Prevention System for a Global Financial Institution
Personalized Medicine Recommendation System for a Leading Healthcare Company
Intelligent Tutoring System for Adaptive Learning in a Top Education Technology Startup
Autonomous Vehicle Traffic Management System for a Major Transportation Company
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Aritificial Intelligence course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Students looking to build a foundation in machine learning before entering the tech industry.
- Software developers who want to add neural networks and computer vision to their technical toolkit.
- Working professionals in finance or healthcare seeking to understand how automation impacts their sector.
- Career switchers aiming for entry-level roles in data science across the India market.
Prerequisites
- No prior experience is required to begin this course.
- Basic familiarity with high school mathematics will help you grasp the algorithms faster.
- A computer with an internet connection to watch the video lessons.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Aritificial Intelligence course: free, structured and job-focused
Businesses generate massive amounts of data but often lack the systems to interpret it effectively. That creates a huge opportunity for professionals who understand machine learning and neural networks. This free artificial intelligence online course covers everything you need to start analyzing complex datasets. You'll begin with the Introduction to Artificial Intelligence and quickly progress through Machine Learning Basics and Deep Learning Fundamentals. Over 84 video lessons, the curriculum breaks down intimidating concepts into simple, practical steps.
LearnTube works differently than a standard video playlist. We curate top YouTube video lessons and pair them with an interactive AI tutor. After every lesson, you take a quick quiz to test your understanding and lock in the knowledge. You will explore practical topics like Natural Language Processing (NLP), Computer Vision, and Robotics and AI. The syllabus also covers industry-specific applications to show you how these tools function in the real world, including AI in Healthcare, AI in Finance, AI in Marketing, and AI in Education.
The training includes four hands-on projects so you can practice your new skills immediately. You will build an AI-powered Fraud Detection and Prevention System for a Global Financial Institution and a Personalized Medicine Recommendation System for a Leading Healthcare Company. The core learning experience is completely free, and you can add a paid optional certificate once you finish. By the end of this two-hour program, you'll know how to deploy convolutional neural networks and run sentiment analysis models.
Jobs you can target after learning Aritificial Intelligence
Aritificial Intelligence is a gateway skill for some of the fastest-growing roles in tech.
Designs and implements machine learning models to automate business processes.
Uses statistical tools to interpret complex data sets and inform company strategy.
Assists in training and testing predictive algorithms for software applications.
Analyzes text data to build systems that understand human language.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Aritificial Intelligence certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Aritificial Intelligence course.
Is this artificial intelligence course completely free?
Yes. You can watch all 84 video lessons and take every AI tutor quiz without paying anything. The entire learning experience is free, while the official certificate is an optional paid upgrade.
How do I get the AI certification?
Once you complete all 12 modules and pass the final assessments, you become eligible for the certificate. You can purchase this optional add-on to display your new machine learning skills on your resume.
How does LearnTube differ from regular YouTube?
We organize scattered YouTube videos into a structured curriculum. Instead of just watching passively, you interact with an AI tutor and answer quizzes after every lesson to ensure you actually retain the material.
Do I need to install specific software?
You do not need any heavy software to start learning. You can watch the lessons and complete the quizzes directly in your web browser. Later projects might require basic programming environments like Python.
Is this AI course self-paced?
Absolutely. You can start the modules whenever you want and learn at your own speed. The two hours of video content are available on-demand, making it easy to fit into a busy schedule.
What kind of projects will I build?
You will complete four practical assignments. These include designing an AI-powered Fraud Detection and Prevention System and creating a Personalized Medicine Recommendation System for a healthcare company.
Do I need programming experience to start?
No prior coding knowledge is strictly required to understand the core concepts. The first module starts with the absolute basics, explaining what artificial intelligence is before moving into complex neural networks.
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