Learn Data Science the right way — not just theory, but full-stack application development. Master Python, Machine Learning, Deep Learning, NLP, and Generative AI, while also gaining hands-on experience with APIs, Git, Docker, cloud deployment, and real-time data streaming.
Build deployable data science projects, crack top interviews, and get 100% placement support with expert mentorship at the School of Core AI.
Skills you'll gain in Data Science course
Data Science Program Overview
This Data Science Course is built for those who want more than just theory — it’s for people who want to build real skills and launch real careers. You’ll start with the essentials: Python, statistics, probability, SQL, and data wrangling. From there, you’ll dive into machine learning with Scikit-learn, deep learning using PyTorch, and work with databases like MongoDB that are common in data-driven companies today.
As the course progresses, you’ll explore modern AI applications including natural language processing, generative AI, and large language models. You’ll learn how to fine-tune LLMs, build Retrieval-Augmented Generation (RAG) pipelines, and work with tools like LangChain and LlamaIndex — all through hands-on projects that mirror industry workflows.
Whether you're switching careers or leveling up, this course gives you the knowledge, practical experience, and placement support to become a confident, job-ready data scientist.
Who Is This Program For?
Aspiring Data Scientists
Aspirational candidates with zero experience who are willing to jumpstart their careers in data science with machine learning.
Recent Graduates
Anyone who wants to get acquainted with machine learning and data science as a software developer.
Career Changers
People who are looking to switch career paths for an AI and machine learning career.
Tech Professionals
Data analysts who wish to superimpose data science with machine learning into their career.
Data Enthusiasts
Line managers who wish to learn more about the opportunities that exists in AI and data science with an application of machine learning for the improvement of their teams.
Future Managers
Future managers willing to deepen their knowledge in the field of AI and machine learning.
Academics
Academic as the data science and AI in their field of specialty
Curious Learners
Anyone interested in data science with machine learning and needs more information on the same
Course Learning Objectives in Data Science Course
What Sets Us Apart?
| Feature | Our Program | Other Courses |
|---|---|---|
| Expert-Led Sessions | ✔ 24 weeks of instruction from top-tier professionals with industry experience | ✘ Often lack guidance from seasoned experts, relying on less experienced instructors |
| Flexible Learning Options | ✔ Accessible 24/7 with over 150 hours of on-demand content | ✘ Limited accessibility and rigid learning schedules |
| Practical Assessments | ✔ 15 practical assessments for hands-on practice | ✘ Minimal practical exposure and hands-on opportunities |
| Real-World Assignments | ✔ Engage in 14+ real-world assignments directly linked to industry challenges | ✘ Minimal practical exposure and hands-on opportunities |
| Live Doubt-Clearing Sessions | ✔ 11 live sessions with experts for doubt resolution | ✘ Limited opportunities for real-time support and query resolution |
| Capstone Projects | ✔ 2-3 capstone projects applying skills to real-world problems | ✘ Few or no chances to work on substantial, real-world projects |
| Live Interviews | ✔ 5 mock interviews to prepare you for the real world | ✘ Lack of structured live interview preparation |
| Mock Interviews | ✔ 10 mock interviews to prepare for real job scenarios | ✘ Lack of structured mock interview preparation |
| Career and Placement Support | ✔ Comprehensive support for job placements, including resume reviews and salary negotiation tips | ✘ Often lack continuous support for career advancement and placement |
Hiring Partners
Data Science Course Fees
- Refund up to 70% if not placed within 10 months (maximum refund ).
Additional Benefits:
- Job Assistance: Full support until you secure a role.
- Real-World Projects: Work on industry-grade use cases.
- Comprehensive Curriculum: Covers Python, SQL, MongoDB, statistics, machine learning, deep learning, NLP, and generative AI. Includes hands-on projects and tools like Pandas, Scikit-learn, PyTorch, and LangChain — used in real-world data science workflows.
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Frequently Asked Questions
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