Module 01
Data Science with Generative AI
Course Introduction & AI Roadmap
What this program covers, who it is for, and the 4-month learning path from SQL to Agentic AI.
KSR DataVizon
Data Science with Generative AI
Become the AI Engineer every company is hiring for
A 4-month, project-driven live online program - from SQL fundamentals to multi-agent AI systems in production. Built for aspiring data scientists, AI engineers, and career switchers who want to build real things, not just collect certificates.
NASSCOM AffiliatedISO 9001:2015 CertifiedStartup India Recognised
Our students work at
TCS
Infosys
Wipro
Capgemini
Deloitte
IBM
HCL
EY
KPMG
PwC
Tech Mahindra
Persistent
Hexaware
LTM Limited
NokiaTCSInfosysWiproCapgeminiDeloitteIBMHCLEYKPMGPwCTech MahindraPersistentHexawareLTM LimitedNokiaDuration6 MonthsLive Training
ModeOnlineMentor-Led
Next Batch25 May8 AM IST
TrainerMr.Koti12+ Years Industry Experience
01Why Learn
Why Data Science with Generative AI?
Why Learn Data Science with Generative AI?
1
High demand for AI & Data Science professionals
The most-hired skill set across product, finance, healthcare, and SaaS in 2026.
2
Strong career growth in ML & AI roles
Compounding salary trajectories - from analyst to engineer to scientist to AI architect.
3
Master LLMs & agentic AI
From embeddings to RAG to multi-agent systems.
4
Build a portfolio recruiters notice
Walk into interviews with deployed projects.
5
Future-proof your career
Curriculum is rewritten every cohort.
→Who Can Learn
Built for engineers & switchers targeting strong outcomes.
Final-year Students
Graduate ready with deployed projects, not just a degree.
Software Developers
Backend or frontend devs ready to switch into AI & ML roles.
Data Analysts
Already use SQL & Excel? Level up to ML & GenAI engineering.
Career Switchers
Non-tech professionals planning a complete pivot into AI.
Working Professionals
Upskill in evenings & weekends, with full LMS access for revision.
Aspiring Founders
Build AI-first products yourself before you raise a round.
02About the Course
Deliberately sequenced architecture.
Not simple video playlists — mentor-driven engineering sprints optimized directly for scaling up skills.
Over 24 weeks of live, mentor-led training, you will move from query languages and statistical foundations, through machine learning and deep learning, into the modern AI stack - LLMs, prompt engineering, embeddings, vector databases, RAG, agentic AI with LangChain & LangGraph, and MLOps for deployment.
Sessions are 100% online and live - taught personally by Mr. Koti, a 12+ year industry practitioner. Every week ends with an assignment reviewed and graded by your mentor. Every phase culminates in a portfolio-grade artifact.
Career support continues until you land your first interview call. We help with LinkedIn & Naukri profile building, ATS-friendly resume writing, mock interviews, and corporate etiquette. Full LMS access for 365 days.
Structured systematically. Focused clearly on active deployments.
What you walk away with
- Course Completion Certificate
- LinkedIn & Naukri profile building
- Client handling techniques
- ATS-friendly resume preparation
- Support till you get interview calls
- Interview prep — tips & tricks
- Soft skills & corporate etiquette
- 365 days of LMS & recordings access
03Meet Your Trainer
Taught by active practitioners.
Lead Trainer · Data Science with Generative AI
Mr.Koti
With 12+ years of industry experience across data engineering, machine learning, and now agentic AI systems, Mr. Koti has shipped models in production at scale and mentored hundreds of engineers into their first ML roles.
12+Years Industry
2,400+Mentees Trained
LiveOnline Sessions
4.9Trainer Rating
04Tools & Frameworks
The stack you use on the job.
Work confidently using industry platforms across core deployment targets.
SQL
Python
NumPy
Pandas
Statistics & EDA
Machine Learning
Deep Learning
Generative AI
LLMs & Prompt Engineering
LangChain
PySpark
Git & GitHub
Agentic AI
05Try Before You Enrol
Evaluate active class modules free.
Review comprehensive lecture formats directly before verifying course access choices.
Module 01
Module 02
Module 03
Module 04
Module 05Explore complete library setups natively on official streaming setups.
Visit KSR Channel Library →06Curriculum Plan
Systematically layered foundations.
Sequential core units structured logically to compile robust engineering outcomes.
01Foundations
SQL for Data Science
3 WeeksDatabasesCRUDJoinsWindow Functions
02Programming
Python for Data Science
4 WeeksBasicsData TypesOOPFile I/OLibraries
03Analytics
Data Analysis & Statistics
4 WeeksNumPyPandasEDAProbabilityHypothesis Testing
04Modeling
Machine Learning
4 WeeksWorkflowFeature Eng.SupervisedUnsupervisedTime Series
05Neural Nets
Deep Learning
3 WeeksNeural NetsANNCNNRNNBackprop
06Frontier
Generative AI & LLMs
4 WeeksGenAILLMsPromptsEmbeddingsRAGFine-Tuning
07Autonomy
Agentic AI
4 WeeksAgentsLangChainLangGraphCrewAIMulti-AgentMCP
08Production
MLOps & Deployment
3 WeeksGitTrackingPipelinesDeployMonitoring
09The Ship
Capstone Project
ThroughoutHealthcareFinanceRetailCustomMentor-Reviewed
07Resources
Engineering tasks that compound.
A
Active Assignments
Weekly Task Reviews
- SQL query challenges on real-world e-commerce schemas
- Python micro-projects: scrapers, parsers, CLI tools
- EDA report on a public dataset, peer-reviewed in class
- End-to-end ML model with cross-validation report
- Deep learning notebook: build an image classifier from scratch
- Prompt engineering & evaluation on a chosen task
- Build a RAG pipeline over your own document set
- Multi-agent workflow with tool calls & guardrails
- Deploy a model with CI/CD & monitoring
- Two mock interviews — technical + behavioural
N
Module References
Running Notes
- Live session recordings — every cohort, every class
- Mentor-written PDF notes for each phase
- Annotated Jupyter notebooks & runnable code
- Curated reading lists per topic with commentary
- Cheat sheets: SQL, Pandas, NumPy, Sklearn, LangChain
- Interview question bank — 400+ questions, categorised
- Resume & LinkedIn templates with worked examples
- Capstone starter repos with CI pre-configured
- Alumni community — ongoing discussions, job referrals
- Continuous updates — new GenAI material every cohort
08Outcomes
Target industry positions directly.
↗ 12,400+ open jobs
Data Scientist
₹ 8 – 22 LPABuild predictive models, run experiments, and drive data-led decisions.
↗ 18,700+ open jobs
AI / ML Engineer
₹ 10 – 28 LPADesign, train, and deploy machine-learning systems at scale.
↗ 8,900+ jobs · Fastest growing
Generative AI Engineer
₹ 14 – 40 LPABuild LLM-powered products — RAG pipelines, fine-tuning, embeddings.
↗ 4,200+ jobs · NEW role
Agentic AI Developer
₹ 16 – 45 LPAArchitect multi-agent systems with LangChain, LangGraph, and CrewAI.
↗ 9,600+ open jobs
MLOps Engineer
₹ 12 – 32 LPAProductionise models with CI/CD, monitoring, drift detection.
↗ 24,500+ open jobs
Data Analyst
₹ 5 – 15 LPATranslate raw data into business insight using SQL, Python, and visualisation.
↗ 6,300+ open jobs
NLP Engineer
₹ 10 – 26 LPASpecialise in language models, embeddings, and text-based AI.
↗ 3,800+ open jobs
AI Solutions Architect
₹ 20 – 50 LPASenior role designing enterprise AI platforms.
11.5 Lakh
Data & AI Jobs in India
30%
YoY Growth in AI Hiring
75,000+
Active GenAI Listings
18 LPA
Median Data Scientist Salary
09Alumni Actions
Real reviews from successful students.
★★★★★
The most hands-on course I have ever taken. By week 4, I was building things I thought required a PhD. Mr. Koti reads tracebacks with you — that level of mentorship is rare.
★★★★★
I came from a non-CS background. Four months later, I had three deployed projects and a job offer. The RAG & Agentic AI modules alone were worth the entire course fee.
★★★★★
What sets KSR apart is the review culture. Every assignment gets actual feedback. The capstone defended me through three interview rounds at Infosys.
★★★★★
I had done two other data science courses before this. Neither went near LLMs or Agents. KSR curriculum is actually current — I was building MCP servers in week 12.
★★★★★
The placement support is not a brochure promise. They reviewed my LinkedIn three times, ran two mock interviews, and connected me with a recruiter.
★★★★★
The structured progression from SQL to Python to ML to DL to GenAI made the transition feel natural. No gaps, no fluff.
10Career Launch
Placement networks that act actively.
200+
Hiring Partners
85%
Avg. Salary Hike
2,400+
Mentees Placed
6 wks
Avg. Time to Offer
01
Resume & Portfolio Review
ATS-friendly resume rewrite, GitHub audit, and capstone project documentation review.
02
LinkedIn & Naukri Optimisation
Profile rebuild with recruiter-targeted keywords, headline crafting, and weekly content tips.
03
Mock Interviews
Two structured mocks: one technical (live coding + ML system design), one HR/behavioural.
04
Recruiter Connections
Curated job openings and direct intros via our network of 200+ hiring-partner companies.
05
Soft Skills & Etiquette
Communication, client handling, and corporate-readiness coaching from senior practitioners.
06
Lifetime Alumni Access
Slack community, referral pipeline, and ongoing peer support — useful long after placement.
- Priority Enrolment Intake Status Active -
Compile execution goals securely.
Intake session opens soon.
Discuss personalized pacing trajectories, audit project module options, and verify scheduling suitability safely directly.
Frequently Addressed Inquiries
What is the duration of the course?
4 months of live online training, with 365 days of LMS access.
When is the next batch starting?
The next batch starts 25th May 2026 at 8:00 AM IST. Limited seats per batch — reserve early.
Who is this course for? Do I need prior experience?
Aspiring data scientists, AI engineers, software developers transitioning to AI, final-year students, and career switchers. No prior data science experience required — we start from SQL and Python fundamentals.
Who is the trainer?
Mr. Koti — a senior practitioner with 12+ years of industry experience in Data Science, Machine Learning, and Generative AI.
Enroll Now
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