End-to-end ML workflow from statistical foundations to model deployment on cloud. Updated with AutoML, explainable AI (XAI) and MLflow-based experiment tracking.
Based in Pune, Averra delivers this Data Science & AI with Gen AI course online to learners worldwide. Build practical, job-focused skills in Machine Learning, Deep Learning, AI Tools and LLMs through guided lessons, labs, assessments and counseling.
A good fit for students, graduates and professionals choosing a Data or AI learning path.
Core outcomes and practical skills covered across this course.
8 focused modules with 16 hands-on lab areas and 4 updated 2025/26 topic markers.
3 lectures covering Linear Algebra for ML, Probability for ML and Statistical Inference
3 lectures covering Data Preprocessing Pipeline, Feature Engineering and Feature Selection
3 lectures covering Linear & Polynomial Regression; Ridge, Lasso & ElasticNet; and Decision Trees & Ensemble Regression
4 lectures covering Logistic Regression, SVM & Naive Bayes, Random Forest & Gradient Boosting and Model Evaluation & Selection
3 lectures covering K-Means & Hierarchical Clustering, Dimensionality Reduction and Anomaly Detection
4 lectures covering Time Series Forecasting, NLP Fundamentals, Neural Networks & Deep Learning Intro and AutoML & No-Code ML
2 lectures covering Explainable AI (XAI); and Bias, Fairness & Ethics in ML
3 lectures covering MLflow for Experiment Tracking, Serving Models with FastAPI and Capstone: ML End-to-End Project
Pune office · Online learning worldwide
Our physical office is in Pune, but course delivery and counseling are online. Share your background, preferred schedule and career goal to choose the right Data, Analytics, AI, Python, SQL, Governance or Cloud path from anywhere.
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Answers to common questions about who the course suits, tools, certification and enrollment.
Data Science & AI with Gen AI is suitable for professionals who already know the basics and want deeper practical skills; learners preparing for portfolio projects, interviews and applied workplace use; and analysts, engineers and managers who need advanced implementation and governance depth.
The course covers Machine Learning, Deep Learning, AI Tools, LLMs and AI Agents, with practical exposure to NumPy, TensorFlow, LLMs and Docker.
Yes. A certificate is included after completing the required learning activities, labs and assessments.
This path can support preparation for roles such as Data Scientist, Machine Learning Engineer and ML Analyst, as well as related Data or AI positions.
Use the Enroll Now or Book Counseling option to share your details. Averra Data will confirm the right batch, schedule and next steps.