Data Science with AI & ML
A practical, mentor-led Data Science with AI & ML program focused on industry workflows, guided practice, tools, assignments and project-based learning.
4 Months / 16 WeeksOnline / Offline / HybridCourse completion certificate available after meeting applicable completion requirements.
Course Overview
Build Python, SQL, machine learning, generative AI and deployment skills through guided projects.
Learning Outcomes
Explain the core concepts and terminology used in the field
Use relevant tools in a structured practical workflow
Complete guided exercises with quality checks and documentation
Present a project or portfolio example with confidence
What You Will Learn
Detailed Syllabus
- Python syntax, functions and Jupyter notebooks
- NumPy and Pandas
- Data cleaning, transformation and joins
- Exploratory data analysis and visualization
- SQL queries, filters, joins and aggregations
- Window functions and analytical queries
- Statistics, probability and data-quality checks
- Business insights and reporting datasets
- Feature engineering and train/test splitting
- Regression and classification
- Scikit-learn workflows and pipelines
- Model evaluation, validation and error analysis
- Neural-network fundamentals
- NLP, text processing and embeddings
- Generative AI, prompt design and APIs
- AI agents, retrieval workflows and responsible AI
- Version control and experiment tracking
- API/application deployment
- Monitoring and reproducibility
- End-to-end data science project, portfolio and interview preparation
Course FAQs
he course covers Data Science, Python, SQL, Artificial Intelligence and Machine Learning with a focus on practical, industry-oriented learning.
Students, graduates, working professionals and career switchers with an interest in data, programming and AI can enroll.
You will learn data analysis, Python, SQL, Machine Learning, AI concepts, data visualization and practical project development.
Upcoming Batches
Choose a batch that fits your schedule
Batch details are confirmed by the CRM team. Contact us if you need a custom schedule.