Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries across the globe — from healthcare and finance to e-commerce and automation. At Mercury Mentors, we offer a comprehensive training program designed to help you build a strong foundation and advance your career in one of the most in-demand fields in the tech industry.
Our AI & Machine Learning course is carefully curated by industry experts to cater to both fresh graduates and working professionals. Through a blend of theoretical learning and hands-on experience, you'll gain deep insights into core concepts like:
Supervised and Unsupervised Learning
Deep Learning and Neural Networks
Natural Language Processing (NLP)
Computer Vision
Data Analysis and Visualization
Python Programming for AI
Real-World Project Implementation
We use practical, real-world case studies and industry-standard tools to help you master problem-solving using AI techniques. Whether you're aiming to become a Machine Learning Engineer, AI Researcher, Data Scientist, or explore AI applications in your current role — our program will guide you every step of the way.
✅ Expert Faculty & Mentorship
✅ 100% Placement Assistance
✅ Online Live Classes with Interactive Learning
✅ Career Guidance & Resume Support
✅ Collaborations with Top IT & Pharma Companies
Join Mercury Mentors and start your journey towards becoming a future-ready AI professional.
As a trainee enrolled in our AI & Machine Learning program, you will be expected to:
Attend live online sessions regularly and actively participate in discussions
Complete all assignments, quizzes, and hands-on coding tasks
Work on real-world mini-projects and a capstone project under mentor guidance
Collaborate with peers during group tasks and code reviews
Continuously practice coding and model-building using Python and ML libraries
Seek regular feedback and improve based on mentor recommendations
Prepare for job interviews with the help of mock tests and placement coachi
Eligibility Criteria
This course is designed to support a wide range of learners. You are eligible if:
You are a graduate or final-year student in any of the following streams:
B.E./B.Tech (Any Branch)
B.Sc/M.Sc (Maths, Stats, CS, IT, etc.)
BCA/MCA
B.Pharm/M.Pharm or Life Science background with programming interest
Working professionals or career switchers from non-tech backgrounds are also welcome
You have basic computer skills and interest in data-driven technologies
No prior experience in AI/ML is required — we start from the basics
01-Jan-1970
Excellent clarity in teaching ML fundamentals.
01-Jan-1970
Nice explanation of model evaluation metrics.
01-Jan-1970
Very helpful for beginners entering AI field.
01-Jan-1970
Good structured introduction to machine learning concepts.
01-Jan-1970
Content is okay but lacks advanced depth.
01-Jan-1970
Excellent ML coding examples in Python.
01-Jan-1970
Good explanation of classification algorithms.
01-Jan-1970
Very informative and well-structured AI introduction.
01-Jan-1970
Helpful course but needs more deep learning content.
01-Jan-1970
Excellent teaching style with practical coding sessions.
01-Jan-1970
Good introduction to data preprocessing and ML workflow.
01-Jan-1970
Too basic, expected more advanced neural network topics.
01-Jan-1970
Very clear and beginner-friendly explanations.
01-Jan-1970
Good coverage of supervised learning techniques.
01-Jan-1970
Excellent hands-on Python examples for beginners.
01-Jan-1970
Well structured introduction to AI and ML basics.
01-Jan-1970
Average content depth, could include more real-world datasets.
01-Jan-1970
Very practical examples helped me understand machine learning better.
01-Jan-1970
Good explanations of ML concepts, easy to follow.
01-Jan-1970
Excellent course for understanding AI fundamentals from scratch.
01-Jan-1970
Excellent machine learning course.
01-Jan-1970
Good overview of topics.
01-Jan-1970
Very helpful learning experience.
01-Jan-1970
Good structured course.
01-Jan-1970
Excellent AI fundamentals.
01-Jan-1970
Good explanation style.
01-Jan-1970
Very clear ML concepts.
01-Jan-1970
Good introduction to AI tools.
01-Jan-1970
Excellent structured learning.
01-Jan-1970
Good explanation but basic.
01-Jan-1970
Very practical AI course.
01-Jan-1970
Good beginner-friendly content.
01-Jan-1970
Excellent clarity and examples.
01-Jan-1970
Good overview of ML concepts.
01-Jan-1970
Very helpful AI explanations.
01-Jan-1970
Good structured learning.
01-Jan-1970
Excellent ML foundation.
01-Jan-1970
Good AI basics covered.
01-Jan-1970
Very informative and structured.
01-Jan-1970
Good explanation of algorithms.
01-Jan-1970
Excellent practical examples.
01-Jan-1970
Good beginner-level AI course.
01-Jan-1970
Very clear machine learning introduction.
01-Jan-1970
Good structured explanation.
01-Jan-1970
Average depth in topics.
01-Jan-1970
Excellent AI learning experience.
01-Jan-1970
Good basics covered.
01-Jan-1970
Very helpful structured learning.
01-Jan-1970
Good explanation style.
01-Jan-1970
Excellent beginner-friendly course.
01-Jan-1970
Good overview of ML workflow.
01-Jan-1970
Very practical AI examples.
01-Jan-1970
Good structured content.
01-Jan-1970
Excellent clarity in teaching.
01-Jan-1970
Good introduction to ML models.
01-Jan-1970
Very informative AI course.
01-Jan-1970
Good explanation of concepts.
01-Jan-1970
Too simple for advanced learners.
01-Jan-1970
Excellent ML foundation course.
01-Jan-1970
Good structured learning path.
01-Jan-1970
Very helpful AI introduction.
01-Jan-1970
Good explanation but needs depth.
01-Jan-1970
Excellent hands-on experience.
01-Jan-1970
Good beginner ML course.
01-Jan-1970
Very clear and practical explanations.
01-Jan-1970
Good overview of AI systems.
01-Jan-1970
Average pacing of topics.
01-Jan-1970
Excellent foundation in machine learning.
01-Jan-1970
Good structured content flow.
01-Jan-1970
Very practical AI learning experience.
01-Jan-1970
Good introduction but slightly basic.
01-Jan-1970
Excellent clarity in teaching concepts.
01-Jan-1970
Nice explanation of ML basics.
01-Jan-1970
Very helpful for beginners in AI/ML.
01-Jan-1970
Good structured learning approach.
01-Jan-1970
Content is okay but lacks depth in DL.
01-Jan-1970
Excellent ML coding examples.
01-Jan-1970
Good explanation of classification models.
01-Jan-1970
Very informative and structured AI course.
01-Jan-1970
Helpful but needs more projects.
01-Jan-1970
Excellent beginner-friendly AI explanations.
01-Jan-1970
Good overview of ML algorithms.
01-Jan-1970
Too basic, expected deeper neural network content.
01-Jan-1970
Very clear teaching and practical AI examples.
01-Jan-1970
Well structured explanation of models.
01-Jan-1970
Excellent hands-on Python ML implementation.
01-Jan-1970
Good introduction to AI workflows and concepts.
01-Jan-1970
Average content depth, needs more advanced topics.
01-Jan-1970
Very practical examples and easy ML explanations.
01-Jan-1970
Good beginner-friendly AI course with structured flow.
01-Jan-1970
Excellent clarity in explaining machine learning fundamentals.
01-Jan-1970
Good explanation but slightly basic.
01-Jan-1970
Excellent structured AI learning course.
01-Jan-1970
Good introduction to AI workflows.
01-Jan-1970
Very practical and useful content.
01-Jan-1970
Good overview of machine learning models.
01-Jan-1970
Excellent clarity in teaching AI concepts.
01-Jan-1970
Good explanation of ML basics.
01-Jan-1970
Very helpful for beginners in AI.
01-Jan-1970
Good structured learning path.
01-Jan-1970
Excellent ML examples and explanations.
01-Jan-1970
Good beginner-friendly content.
01-Jan-1970
Very clear and practical course.
01-Jan-1970
Good introduction to AI tools.
01-Jan-1970
Excellent learning experience overall.
01-Jan-1970
Good structured explanation of ML topics.
01-Jan-1970
Average pacing and depth.
01-Jan-1970
Very helpful AI introduction.
01-Jan-1970
Good overview of concepts.
01-Jan-1970
Excellent machine learning foundation.
01-Jan-1970
Good explanation but needs more depth.
01-Jan-1970
Very practical AI examples.
01-Jan-1970
Nice structured beginner course.
01-Jan-1970
Excellent clarity in ML explanations.
01-Jan-1970
Good introduction to neural networks basics.
01-Jan-1970
Very informative and structured learning experience.
01-Jan-1970
Good explanation of AI workflows.
01-Jan-1970
Too basic for intermediate learners.
01-Jan-1970
Excellent introduction to ML concepts.
01-Jan-1970
Good structured content delivery.
01-Jan-1970
Very helpful and easy to understand.
01-Jan-1970
Good explanation of AI fundamentals.
01-Jan-1970
Excellent hands-on coding exercises.
01-Jan-1970
Nice beginner-level ML course.
01-Jan-1970
Very clear and structured AI introduction.
01-Jan-1970
Good overview of supervised and unsupervised learning.
01-Jan-1970
Average explanation of algorithms.
01-Jan-1970
Excellent foundation for machine learning journey.
01-Jan-1970
Good structured learning path for beginners.
01-Jan-1970
Very practical examples in AI and ML.
01-Jan-1970
Good introduction but needs more projects.
01-Jan-1970
Excellent clarity in teaching machine learning concepts.
01-Jan-1970
Nice explanation of model training concepts.
01-Jan-1970
Very helpful for beginners in AI/ML field.
01-Jan-1970
Good structured introduction to AI models.
01-Jan-1970
Content is okay but lacks depth in advanced topics.
01-Jan-1970
Excellent practical Python ML implementation.
01-Jan-1970
Good explanation of classification and regression.
01-Jan-1970
Very informative and well-explained machine learning basics.
01-Jan-1970
Helpful introduction but needs more deep learning content.
01-Jan-1970
Excellent teaching style and practical ML examples.
01-Jan-1970
Good beginner-friendly AI course with structured content.
01-Jan-1970
Too basic, expected deeper neural network coverage.
01-Jan-1970
Very clear explanation of AI concepts and applications.
01-Jan-1970
Good overview of ML models and evaluation metrics.
01-Jan-1970
Excellent hands-on explanation of supervised learning.
01-Jan-1970
Well structured introduction to AI concepts and workflows.
01-Jan-1970
Average pace, could include more advanced neural network topics.
01-Jan-1970
Very practical examples and easy-to-follow ML concepts.
01-Jan-1970
Good course covering basics of machine learning algorithms.
01-Jan-1970
Excellent introduction to AI and ML fundamentals with clear explanations.
01-Jan-1970
Excellent clarity in teaching ML fundamentals.
01-Jan-1970
Nice explanation of model evaluation metrics.
01-Jan-1970
Very helpful for beginners entering AI field.
01-Jan-1970
Good structured introduction to machine learning concepts.
01-Jan-1970
Content is okay but lacks advanced depth.
01-Jan-1970
Excellent ML coding examples in Python.
01-Jan-1970
Good explanation of classification algorithms.
01-Jan-1970
Very informative and well-structured AI introduction.
01-Jan-1970
Helpful course but needs more deep learning content.
01-Jan-1970
Excellent teaching style with practical coding sessions.
01-Jan-1970
Good introduction to data preprocessing and ML workflow.
01-Jan-1970
Too basic, expected more advanced neural network topics.
01-Jan-1970
Very clear and beginner-friendly explanations.
01-Jan-1970
Good coverage of supervised learning techniques.
01-Jan-1970
Excellent hands-on Python examples for beginners.
01-Jan-1970
Well structured introduction to AI and ML basics.
01-Jan-1970
Average content depth, could include more real-world datasets.
01-Jan-1970
Very practical examples helped me understand machine learning better.
01-Jan-1970
Good explanations of ML concepts, easy to follow.
01-Jan-1970
Excellent course for understanding AI fundamentals from scratch.
01-Jan-1970
Excellent machine learning course.
01-Jan-1970
Good overview of topics.
01-Jan-1970
Very helpful learning experience.
01-Jan-1970
Good structured course.
01-Jan-1970
Excellent AI fundamentals.
01-Jan-1970
Good explanation style.
01-Jan-1970
Very clear ML concepts.
01-Jan-1970
Good introduction to AI tools.
01-Jan-1970
Excellent structured learning.
01-Jan-1970
Good explanation but basic.
01-Jan-1970
Very practical AI course.
01-Jan-1970
Good beginner-friendly content.
01-Jan-1970
Excellent clarity and examples.
01-Jan-1970
Good overview of ML concepts.
01-Jan-1970
Very helpful AI explanations.
01-Jan-1970
Good structured learning.
01-Jan-1970
Excellent ML foundation.
01-Jan-1970
Good AI basics covered.
01-Jan-1970
Very informative and structured.
01-Jan-1970
Good explanation of algorithms.
01-Jan-1970
Excellent practical examples.
01-Jan-1970
Good beginner-level AI course.
01-Jan-1970
Very clear machine learning introduction.
01-Jan-1970
Good structured explanation.
01-Jan-1970
Average depth in topics.
01-Jan-1970
Excellent AI learning experience.
01-Jan-1970
Good basics covered.
01-Jan-1970
Very helpful structured learning.
01-Jan-1970
Good explanation style.
01-Jan-1970
Excellent beginner-friendly course.
01-Jan-1970
Good overview of ML workflow.
01-Jan-1970
Very practical AI examples.
01-Jan-1970
Good structured content.
01-Jan-1970
Excellent clarity in teaching.
01-Jan-1970
Good introduction to ML models.
01-Jan-1970
Very informative AI course.
01-Jan-1970
Good explanation of concepts.
01-Jan-1970
Too simple for advanced learners.
01-Jan-1970
Excellent ML foundation course.
01-Jan-1970
Good structured learning path.
01-Jan-1970
Very helpful AI introduction.
01-Jan-1970
Good explanation but needs depth.
01-Jan-1970
Excellent hands-on experience.
01-Jan-1970
Good beginner ML course.
01-Jan-1970
Very clear and practical explanations.
01-Jan-1970
Good overview of AI systems.
01-Jan-1970
Average pacing of topics.
01-Jan-1970
Excellent foundation in machine learning.
01-Jan-1970
Good structured content flow.
01-Jan-1970
Very practical AI learning experience.
01-Jan-1970
Good introduction but slightly basic.
01-Jan-1970
Excellent clarity in teaching concepts.
01-Jan-1970
Nice explanation of ML basics.
01-Jan-1970
Very helpful for beginners in AI/ML.
01-Jan-1970
Good structured learning approach.
01-Jan-1970
Content is okay but lacks depth in DL.
01-Jan-1970
Excellent ML coding examples.
01-Jan-1970
Good explanation of classification models.
01-Jan-1970
Very informative and structured AI course.
01-Jan-1970
Helpful but needs more projects.
01-Jan-1970
Excellent beginner-friendly AI explanations.
01-Jan-1970
Good overview of ML algorithms.
01-Jan-1970
Too basic, expected deeper neural network content.
01-Jan-1970
Very clear teaching and practical AI examples.
01-Jan-1970
Well structured explanation of models.
01-Jan-1970
Excellent hands-on Python ML implementation.
01-Jan-1970
Good introduction to AI workflows and concepts.
01-Jan-1970
Average content depth, needs more advanced topics.
01-Jan-1970
Very practical examples and easy ML explanations.
01-Jan-1970
Good beginner-friendly AI course with structured flow.
01-Jan-1970
Excellent clarity in explaining machine learning fundamentals.
01-Jan-1970
Good explanation but slightly basic.
01-Jan-1970
Excellent structured AI learning course.
01-Jan-1970
Good introduction to AI workflows.
01-Jan-1970
Very practical and useful content.
01-Jan-1970
Good overview of machine learning models.
01-Jan-1970
Excellent clarity in teaching AI concepts.
01-Jan-1970
Good explanation of ML basics.
01-Jan-1970
Very helpful for beginners in AI.
01-Jan-1970
Good structured learning path.
01-Jan-1970
Excellent ML examples and explanations.
01-Jan-1970
Good beginner-friendly content.
01-Jan-1970
Very clear and practical course.
01-Jan-1970
Good introduction to AI tools.
01-Jan-1970
Excellent learning experience overall.
01-Jan-1970
Good structured explanation of ML topics.
01-Jan-1970
Average pacing and depth.
01-Jan-1970
Very helpful AI introduction.
01-Jan-1970
Good overview of concepts.
01-Jan-1970
Excellent machine learning foundation.
01-Jan-1970
Good explanation but needs more depth.
01-Jan-1970
Very practical AI examples.
01-Jan-1970
Nice structured beginner course.
01-Jan-1970
Excellent clarity in ML explanations.
01-Jan-1970
Good introduction to neural networks basics.
01-Jan-1970
Very informative and structured learning experience.
01-Jan-1970
Good explanation of AI workflows.
01-Jan-1970
Too basic for intermediate learners.
01-Jan-1970
Excellent introduction to ML concepts.
01-Jan-1970
Good structured content delivery.
01-Jan-1970
Very helpful and easy to understand.
01-Jan-1970
Good explanation of AI fundamentals.
01-Jan-1970
Excellent hands-on coding exercises.
01-Jan-1970
Nice beginner-level ML course.
01-Jan-1970
Very clear and structured AI introduction.
01-Jan-1970
Good overview of supervised and unsupervised learning.
01-Jan-1970
Average explanation of algorithms.
01-Jan-1970
Excellent foundation for machine learning journey.
01-Jan-1970
Good structured learning path for beginners.
01-Jan-1970
Very practical examples in AI and ML.
01-Jan-1970
Good introduction but needs more projects.
01-Jan-1970
Excellent clarity in teaching machine learning concepts.
01-Jan-1970
Nice explanation of model training concepts.
01-Jan-1970
Very helpful for beginners in AI/ML field.
01-Jan-1970
Good structured introduction to AI models.
01-Jan-1970
Content is okay but lacks depth in advanced topics.
01-Jan-1970
Excellent practical Python ML implementation.
01-Jan-1970
Good explanation of classification and regression.
01-Jan-1970
Very informative and well-explained machine learning basics.
01-Jan-1970
Helpful introduction but needs more deep learning content.
01-Jan-1970
Excellent teaching style and practical ML examples.
01-Jan-1970
Good beginner-friendly AI course with structured content.
01-Jan-1970
Too basic, expected deeper neural network coverage.
01-Jan-1970
Very clear explanation of AI concepts and applications.
01-Jan-1970
Good overview of ML models and evaluation metrics.
01-Jan-1970
Excellent hands-on explanation of supervised learning.
01-Jan-1970
Well structured introduction to AI concepts and workflows.
01-Jan-1970
Average pace, could include more advanced neural network topics.
01-Jan-1970
Very practical examples and easy-to-follow ML concepts.
01-Jan-1970
Good course covering basics of machine learning algorithms.
01-Jan-1970
Excellent introduction to AI and ML fundamentals with clear explanations.