Learn AI Fundamentals Online: Free Course with AI Tutor & Certificate
This free AI basics course offers 65 video lessons and an optional paid certificate. Across 25 hours, you'll master neural networks, generative AI, and machine learning. You will build practical skills by completing four real-world projects, preparing you for entry-level roles in the artificial intelligence field.
What you'll learn in this AI Fundamentals course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
- Understand the foundational concepts and terminology of AI, including machine learning, deep learning, and generative AI.
- Analyze and prepare high-quality data for AI models using data wrangling and cleaning techniques.
- Develop and evaluate machine learning models, understanding the mechanisms of neural networks and backpropagation.
- Apply generative AI techniques, including prompt engineering and retrieval-augmented generation, to real-world applications.
- Implement AI solutions across various industries, enhancing data analysis, UX design, marketing strategies, and more.
- Navigate ethical considerations and responsible AI practices, addressing algorithmic bias and security governance.
AI Fundamentals course syllabus
01 Introduction to Artificial Intelligence
- What is AI? A Foundational Overview
- Clarifying the Terms: AI, Machine Learning, Deep Learning, and Generative AI
- Tracing the Evolution: A Brief History of AI
- Categorizing Intelligence: The 7 Types of AI
- Understanding Narrow AI vs General AI: The Current Reality and Future Vision
- Understanding the Business Impact of Generative AI
02 The Language of Data: Fuel for AI
- Demystifying Data Roles and Cloud Services
- Introduction to Data Wrangling and Exploration
- Data Quality Principles: Coverage, Consistency, and Ethics
- Hands-On Data Cleaning with Pandas and NumPy
- Ensuring High-Quality Data for AI Models
- Implementing Data Governance in 5 Minutes
- Establishing Ground Truth for Accurate AI
03 Core Mechanisms of Machine Learning
- Exploring Machine Learning Fundamentals with Azure
- Comparing Supervised and Unsupervised Learning
- A Deep Dive into the Nuts and Bolts of Machine Learning
- Game Theory and Strategic Decision Making in AI
04 Inside the Black Box: How Neural Networks Learn
- Visualizing the Structure of a Neural Network
- The Learning Mechanism: Cost Functions and Gradient Descent
- Evaluating Network Performance and Deeper Insights
- The Intuition Behind Backpropagation
- Connecting Intuition to Calculus in Backpropagation
- A Conceptual Overview of Neural Networks and AI
05 The Generative AI Revolution: LLMs and Transformers
- Transformers & The Foundations of Deep Learning
- Word Embeddings, Unembedding, and Softmax
- Understanding the Attention Mechanism: Queries, Keys, and Relevance
- Building the Transformer: Value Vectors and Multi-Head Attention
- Investigating How LLMs Store Factual Knowledge
- A Primer on How Large Language Models Work
- Understanding Generative Pre-trained Transformers (GPT)
06 Practical AI Interaction and Application Development
- Fundamentals of Prompt Engineering and LLM Capabilities
- Advanced Prompting: Iteration and Few-Shot Techniques
- Choosing Your Strategy: RAG vs. Fine-Tuning vs. Prompt Engineering
- Introduction to Retrieval-Augmented Generation (RAG)
- Navigating the Lifecycle of a Generative AI Project
- Foundations of AI and Effective Prompting
- Advanced Prompting: Iteration and Creative Partnership
- Applying AI with Google's Tools: Gemini, Workspace, and NotebookLM
07 AI Across Industries: Real-World Use Cases
- Foundations of AI for Data Analysis: Prompting and Data Preparation
- Advanced AI Applications: Analysis, Visualization, and Coding
- Applying AI in UX Design
- AI for Marketing Strategy and Research
- Generating and Optimizing Marketing Copy with AI
- Foundations and Planning: Crafting Prompts, Charters, and Risk Assessments with AI
- Execution and Collaboration: Enhancing Communication, Meetings, and Knowledge Sharing with AI
- Foundations: Prompting AI and Understanding Security Frameworks
- Applying AI to Code, Vulnerabilities, and Incident Response
- Applying AI in Sports Analytics: The Wimbledon and US Open Case Study
- Applying AI to Your Career: A Guide to the AI-Powered Job Search
08 Intelligent Agents and the Future of Automation
- Heuristic Search and A* Algorithm Fundamentals
- Breadth-First Search (BFS): Systematic Graph Exploration
- Depth-First Search (DFS): Deep Graph Traversal Techniques
- Pathfinding and Grid-Based Search Applications
- Defining AI Agents and Compound AI Systems
- Classifying the 5 Types of AI Agents
- Reinforcement Learning and Decision-Making in AI Agents
- Exploring 10 Real-World Use Cases for AI Agents
- A Deep Dive into Agentic Frameworks
09 Responsible AI, Ethics, and Future Outlook
- A Practical Guide to Using AI Responsibly
- An Introduction to AI Ethics
- Understanding and Fixing Algorithmic Bias in AI
- Explaining AI Hallucinations in Large Language Models
- Implementing Security and AI Governance
- The Limits of AI and What's Next
- Considering AI's Critical Role in Your Job and Life
Real-world projects you'll work on
Practice the exact kind of work AI Fundamentals professionals do on the job.
Revolutionizing Customer Experience: Implementing AI-Driven Chatbots at Amazon
Data-Driven Decision Making: Enhancing Supply Chain Efficiency with AI at Tesla
Transforming Healthcare: Developing Predictive AI Models for Patient Care at Google Health
Sustainable Fashion: Leveraging AI for Eco-Friendly Design and Production at Patagonia
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this AI Fundamentals course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Beginners and students in India looking to build a strong foundation in artificial intelligence without prior coding experience.
- Working professionals who want to apply generative AI tools to improve their daily workflows.
- Career switchers aiming to enter the tech sector by learning machine learning and data analysis basics.
Prerequisites
- No prior experience is required to take this artificial intelligence basics course.
- A basic understanding of high school mathematics will help with the machine learning concepts.
- You need a computer or smartphone with a stable internet connection.
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 AI Fundamentals course: free, structured and job-focused
Start learning with this free artificial intelligence course for beginners, featuring an optional paid certificate to verify your new skills. LearnTube makes studying simple and interactive. You will watch curated YouTube video lessons and take a quick quiz after every single video. An interactive AI tutor helps you understand difficult concepts as you progress through the material.
The curriculum spans 25 hours across 9 detailed modules. You will start with Introduction to Artificial Intelligence and The Language of Data: Fuel for AI. From there, you'll study Core Mechanisms of Machine Learning and Inside the Black Box: How Neural Networks Learn. The course also covers The Generative AI Revolution: LLMs and Transformers, Practical AI Interaction and Application Development, and AI Across Industries: Real-World Use Cases. Finally, you will explore Intelligent Agents and the Future of Automation along with Responsible AI, Ethics, and Future Outlook. Your very first lesson is What is AI? A Foundational Overview.
To build practical experience, you'll complete four hands-on projects based on real industry scenarios. You will implement AI-driven chatbots at Amazon and enhance supply chain efficiency with AI at Tesla. You'll also develop predictive AI models for patient care at Google Health and use AI for eco-friendly design and production at Patagonia. By the end of this ai fundamentals training, you will know how to prepare high-quality data, evaluate machine learning models, and apply prompt engineering to real-world applications.
Jobs you can target after learning AI Fundamentals
AI Fundamentals is a gateway skill for some of the fastest-growing roles in tech.
Cleans data and uses basic AI models to extract business trends.
Designs effective inputs for generative AI tools to produce high-quality outputs.
Assists in building and testing machine learning models for practical applications.
Typical entry-level salary ranges in India as of August 2026. Actual compensation varies by city, company and experience.
Earn a AI Fundamentals 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 AI Fundamentals course.
Do I need prior experience to take this ai basics course?
No prior experience is needed. This artificial intelligence course for beginners starts from scratch. You will learn the core concepts of machine learning and data analysis step by step, making it perfect for complete novices.
What tools or software do I need installed?
You do not need to install any heavy software. All you need is a standard web browser to access the video lessons, complete the quizzes, and use the AI tutor. Everything runs directly on your device.
What job roles can this ai fundamentals training lead to?
Completing this program prepares you for entry-level roles like Junior Data Analyst, Prompt Engineer, or AI Assistant. These positions typically offer starting salaries between ₹3.5 LPA and ₹6.0 LPA in the Indian market.
Is this a free ai fundamentals course?
Yes, the entire learning experience is completely free. You get full access to all 65 video lessons, AI-tutor quizzes, and hands-on projects at no cost. The official certificate is an optional paid add-on.
Can I study at my own pace?
Absolutely. The course is entirely self-paced, allowing you to watch lessons and complete quizzes whenever you have free time. You can finish the 25 hours of content over a few days or spread it out across several weeks.
Does the platform work on mobile devices?
Yes, LearnTube is fully optimized for smartphones and tablets. You can watch the curated YouTube videos, interact with the AI tutor, and submit your quiz answers directly from your mobile browser while commuting or traveling.
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