Data Science & AI Courses
Data Science & AI is the fastest-growing hiring category in Indian tech, driven by rising enterprise investment in analytics, machine learning, and generative AI. This category is structured as a learning path: start with Data Science for the full workflow (statistics, Python, visualization, applied ML), specialize further with Machine Learning for deep algorithmic and deep learning expertise, add Generative AI for the newest and fastest-growing hiring segment (LLMs, RAG, agents), or choose Power BI if your goal is business intelligence and reporting rather than model building. Each course is built around real datasets and business problems, not toy examples.
Data Science with Python
Master statistics, Python, machine learning, and data visualization to become a job-ready data scientist.
Machine Learning
Go deep into ML algorithms, model optimization, and deep learning fundamentals with hands-on projects.
AI & Generative AI (incl. Prompt Engineering)
Master modern AI — LLMs, prompt engineering, RAG, and multi-agent systems — and build real GenAI applications.
Power BI
Build interactive dashboards and business intelligence reports using Power BI, DAX, and Power Query.
Compare Courses in Data Science & AI
| Course | Data Science with Python | Machine Learning | AI & Generative AI (incl. Prompt Engineering) | Power BI |
|---|---|---|---|---|
| Best for | Full analytics workflow | Deep ML/deep learning specialization | GenAI/LLM application building | BI dashboards & reporting |
| Duration | 16 wks | 14 wks | 10 wks | 8 wks |
| Coding required | Basic Python | Python + stats | Basic Python | No-code |
| Price | ₹36,999 | ₹34,999 | ₹29,999 | ₹17,999 |
Frequently Asked Questions
What order should I take these courses in?
Data Science first builds the foundation; Machine Learning goes deeper into algorithms and deep learning; Generative AI is a separate, faster specialization in LLM-based applications; Power BI is independent and focused on business reporting rather than modeling.
Do I need a math or engineering degree to join?
A quantitative background helps but isn't required — statistics and math fundamentals needed are covered within Data Science and Machine Learning modules.
Is Generative AI replacing traditional Data Science/ML skills?
No — GenAI is a complementary, fast-growing specialization; strong statistics, data handling, and classical ML skills remain the foundation most GenAI Engineer roles still require.
Which course is best if I only know Excel today?
Start with Power BI if you want to stay in a no-code/low-code reporting track, or Data Science if you want to build coding and modeling skills for a broader analytics career.
Is placement support included?
Yes — resume building, mock interviews, and referrals to our hiring partner network are included with every course.
Not Sure Which Data Science & AI Course Is Right for You?
Talk to a counselor — free, no obligation.