NPTEL Launches Free AI & ML Certification Course – Limited Seats! 2025

Are you ready to supercharge your career in 2025 with in-demand skills in Artificial Intelligence (AI) and Machine Learning (ML)? NPTEL (National Programme on Technology Enhanced Learning), a joint initiative of IITs and IISc, has announced a Free AI & ML Certification Course, offering a golden opportunity to learners across India. With limited seats available, this is your chance to gain expertise in one of the most transformative fields, completely free of charge.

In this post, we’ll dive into the details of the NPTEL Free AI & ML Certification Course, explore the curriculum, eligibility criteria, benefits, and how you can secure your spot.

About the Free AI & ML Certification Course

Artificial intelligence (AI) has taken the center-stage of material development due to rapid increase of the computational power and speed. The use of AI is rapidly picking up for high throughput screening and decision making for materials chemistry, property estimation and optimization of properties. As the need of new materials with improved properties is felt across the discipline, the accelerated design and development has become a key aspect of material science and engineering.

The the need for use of AI and machine learning has widely been felt to design new materials with better properties The course is intended to provide this some basics aspects of use of AI and ML in materials science and engineering. Starting with processing -structure-property correlation, the basic computational tools will be deliberated with application of machine learning and deep learning. The application of AI-ML will be discussed with some case studies and examples.

Why AI & ML? The Future is Here

Artificial Intelligence and Machine Learning are no longer futuristic concepts; they are integral parts of our present. From self-driving cars and medical diagnosis to personalized recommendations and fraud detection, AI & ML are revolutionizing industries worldwide. As businesses increasingly adopt AI-driven solutions, the demand for skilled professionals in these fields is skyrocketing.

By earning an AI & ML Certification, you can:

Boost your career prospects: Stand out in the competitive job market with in-demand skills.

Increase your earning potential: AI & ML professionals command higher salaries due to their expertise.

Solve real-world problems: Use AI & ML to create innovative solutions in various sectors.

Future-proof your skills: Gain expertise in technologies that will shape the future.

NPTEL: Quality Education from India’s Top Institutions

NPTEL is a trusted platform for online education, offering courses developed by faculty from IITs (Indian Institutes of Technology) and IISc (Indian Institute of Science). NPTEL courses are known for their rigorous curriculum, expert instruction, and industry relevance. By enrolling in an NPTEL course, you gain access to world-class education without leaving your home.

The NPTEL Free AI & ML Certification Course: An Overview

The NPTEL Free AI & ML Certification Course aims to provide learners with a solid foundation in the core concepts of AI and Machine Learning. The course covers a wide range of topics, including:

Introduction to AI and ML: History, applications, and ethical considerations.

Machine Learning Fundamentals: Supervised learning, unsupervised learning, and reinforcement learning.

Algorithms: Linear regression, logistic regression, decision trees, support vector machines, neural networks, and deep learning.

Programming Languages: Python and relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, Keras).

Data Preprocessing: Cleaning, transformation, and feature engineering.

Model Evaluation: Metrics, validation techniques, and hyperparameter tuning.

Real-World Applications: Case studies in healthcare, finance, and other industries.

Who Can Enroll? Eligibility Criteria

The NPTEL Free AI & ML Certification Course is open to a wide range of learners:

Students: Pursuing undergraduate or postgraduate degrees in engineering, computer science, or related fields.

Working Professionals: Seeking to upskill or switch careers to AI & ML.

Researchers are interested in applying AI & ML techniques to their research.

Anyone with a basic understanding of mathematics and programming.

Course Layout

Week 1 :

• Introduction to the course: This will provide basic aspects of the course: why AI/ML in Materials Engineering.
• Basics of Materials Science-I: Structure of Materials
• Basics of Materials Science-II: Microstructure –property correlation

Week 2 :

• Basics of Materials Science-III: Processing of materials
• Basics of Materials Science-IV: Correlation between processing with materials structure-I
• Basics of Materials Science-V: Correlation between processing with materials structure-II

Week 3 :

• Materialsdesign at different length scale – I: Basic Design Principles
• Materialsdesign at different length scale – II: Component level to atomic level aspects of material design
• Materialsdesign at different length scale – III: CALPHAD;

Week 4 :

• Materialsdesign at different length scale – IV: Ab initio, Density Functional Theory (DFT),
• Materialsdesign at different length scale – V: Monte Carlo (MC) or Molecular Dynamic (MD) followed Phase Field Simulations (PFM) for microstructural evolution.
• Machine Learning Approaches for Materials Design-I: Statistical Tools, Machine Learning-I

Week 5 :

• Machine Learning Approaches for Materials Design-II: Statistical Tools, Machine Learning,-II
• Machine Learning Approaches for Materials Design-III: Statistical Tools, Machine Learning-III
• Machine Learning Approaches for Materials Design-IV: Computer vision-I
• Machine Learning Approaches for Materials Design-V: Computer vision-II

Week 6 :

• Machine Learning Approaches for Materials Design-VI: Microstructural evolution-I
• Machine Learning Approaches for Materials Design-VII: Microstructural evolution-II
• Machine Learning Approaches for Materials Design-VIII: Microstructure property correlation-I

Week 7 :

• Machine Learning Approaches for Materials Design-IX: Microstructure property correlation-II
• Machine Learning Approaches for Materials Design-X: Microstructure property correlation-III
• Accelerating Materials Development and Deployment-I: Microstructure property correlation-IV

Week 8 :

• Accelerating Materials Development and Deployment-II: Deep Learning-I
• Accelerating Materials Development and Deployment-III: Deep Learning-II
• Accelerating Materials Development and Deployment-IV: Deep Learning-III

Week 9 :

• Accelerating Materials Development and Deployment-V: Inverse design using AI/ML – from evolutionary algorithms to deep learning-I
• Materials Knowledge and Materials Data Science-I: Inverse design using AI/ML – from evolutionary algorithms to deep learning-II
• Materials Knowledge and Materials Data Science-II: Inverse design using AI/ML – from evolutionary algorithms to deep learning-III

Week 10 :

• Materials Knowledge and Materials Data Science-III: Advanced Deep Learning-I
• Materials Knowledge and Materials Data Science-IV: Advanced Deep Learning-I
• Materials Knowledge and Materials Data Science-V: AI/ML for materials characterization-I
• Materials Knowledge and Materials Data Science-VI: AI/ML for materials characterization-II

Week 11 :

• Materials Knowledge and Materials Data Science-VII: AI/ML for materials characterization-III
• Materials Knowledge and Materials Data Science-VIII: AI/ML for materials characterization-IV
• Materials Knowledge and Materials Data Science-VIII: AI/ML for autonomous experiments-I
• Materials Knowledge and Materials Data Science-VIII: AI/ML for autonomous experiments-II

Week 12 :

• Materials Knowledge and Materials Data Science-IX: Materials Informatics and Data Science-I
• Materials Knowledge and Materials Data Science-IX: Materials Informatics and Data Science-II
• Materials Knowledge and Materials Data Science-IX: Materials Informatics and Data Science-III
• Materials Knowledge and Materials Data Science-X: Summary and Way forward

Benefits of NPTEL Free AI & ML Certification Course

Free of Cost: Access high-quality education in AI & ML without paying tuition fees.

Expert Instruction: Learn from experienced faculty from IITs and IISc.

Comprehensive Curriculum: Covers a wide range of topics in AI & ML.

Hands-on Learning: Apply your knowledge through coding projects and real-world case studies.

Certification: Earn an NPTEL certification to validate your skills (optional).

Career Advancement: Enhance your job prospects in the fast-growing field of AI & ML.

Networking Opportunities: Connect with instructors and fellow learners from diverse backgrounds.

Tips for Success in the NPTEL Free AI & ML Certification Course

Allocate Sufficient Time: Dedicate enough time each week to watch lectures, complete assignments, and work on projects.

Stay Consistent: Follow a regular study schedule to stay on track and avoid falling behind.

Take Notes: Jot down key concepts, formulas, and insights during lectures.

Ask Questions: Don’t hesitate to ask questions in the discussion forums to clarify your doubts.

Practice Regularly: Work on coding projects to reinforce your learning and gain hands-on experience.

Collaborate with Peers: Join study groups and collaborate with fellow learners to share knowledge and learn from each other.

Prepare for the Exam: If you plan to take the certification exam, start preparing well in advance by reviewing the course material and practicing sample questions.

How to Enroll?

If you are an Interested Candidate, you can apply for the NPTEL Launches Free AI & ML Certification Course – Limited Seats! 2025 Click Here

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Conclusion: Seize the Opportunity

The NPTEL Free AI & ML Certification Course offers a remarkable opportunity to learn from the best, gain valuable skills, and advance your career in the exciting field of Artificial Intelligence and Machine Learning. With limited seats available, it’s crucial to act fast and secure your spot. Don’t miss this chance to future-proof your skills and unlock a world of possibilities. Enroll today and embark on your journey to becoming an AI & ML expert!