Learn AI and machine learning through hands-on training with real datasets and practical projects. Build, evaluate, and deploy models using modern tools, and gain strong skills in data processing, deep learning, and end-to-end machine learning workflows.
Flexible learning, online or offline
Training with US-based company exposure
Assessment-based NASSCOM certification
Curriculum designed for real job roles
This 4-month program is designed to build strong AI and machine learning skills through a structured and practical approach. You will learn data processing, machine learning, deep learning, and deployment while working on real-world datasets and projects.
This course is ideal for students and professionals aiming to build a career in AI and machine learning. Students should have a good understanding of mathematics and be comfortable with Python programming, including data manipulation using NumPy and Pandas.
Certification will be awarded based on performance in assessments and project evaluations. Learners who successfully meet the required criteria will receive a certificate affiliated with NASSCOM, validating their AI–ML engineering skills.
Learn Python fundamentals, NumPy, Pandas, and perform data cleaning, transformation, and preprocessing for machine learning tasks.
Use SQL for data extraction, joins, aggregations, and integrate databases with Python for machine learning pipelines.
Analyze datasets using statistics and visualization, handle missing values, detect patterns, and prepare data for modeling.
Build regression, classification, and ensemble models, evaluate performance, and improve results using tuning techniques.
Apply clustering, dimensionality reduction, and feature engineering techniques to uncover patterns and improve model performance.
Deploy machine learning models using APIs and Streamlit, manage workflows, and build end-to-end ML applications.


































































At Skill Se Safalta, we help every learner become confident, capable, and ready for real-world career opportunities.
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