Professional Diploma in Data Science, GenAI & Agentic AI
Build validated models, grounded AI applications and production-ready intelligent systems.
About this programme
This comprehensive Data Science course provides a structured pathway from Python foundations and statistics to advanced machine learning and Agentic AI. Learners build data-driven systems from analysis through deployment, incorporating modern concepts such as RAG, transformer architectures, and multi-step AI workflows grounded in evidence.
Two credentials on completion: Professional Diploma + Internship Completion Certificate.
From Data Questions to Deployed Intelligence
A data-science-first diploma where mathematics, programming and model discipline come before GenAI and agentic automation — so the AI layer sits on evidence, not guesswork.
Frame the Problem
Translate ambiguous business questions into measurable data science problems with clear success criteria.
Build the Evidence
Engineer trustworthy datasets using SQL, Pandas, data quality checks, statistics and disciplined exploratory analysis.
Engineer the Model
Design, tune and validate supervised, unsupervised, forecasting and deep learning models with honest evaluation.
Operate with AI
Extend validated models with GenAI, RAG and agentic workflows, then deploy and observe them in production.
How the Nine Months Are Structured
Entry Profiles and Career Pathways
Freshers & Graduates
Science, engineering, mathematics, statistics and computing graduates starting a data career.
Career Switchers
Professionals from non-data functions moving into analytics and data science roles.
Working Professionals
Analysts and engineers who need model discipline plus modern GenAI capability.
Analysts & Developers
Existing analysts and software developers extending into ML, RAG and agentic systems.
Data roles
- Data Analyst
- BI Analyst
- Junior Data Scientist
- ML Analyst
- Forecasting Analyst
- NLP Analyst
AI-enabled roles
- AI-Enabled Data Analyst
- GenAI Data Scientist
- RAG Application Associate
- ML Engineer – Associate
- MLOps Associate
- Agentic Data Workflow Developer
Career outcomes describe capability alignment and are not a guarantee of employment.
Month-by-Month Pathway
Six months of structured training followed by a three-month supervised internship.
18 Integrated Modules
Sequenced from data foundations to production AI systems.
Five Domain Specialisations
Finance & Risk
Credit, fraud, risk scoring and financial forecasting datasets.
Retail & Marketing
Demand, churn, segmentation, pricing and campaign response modelling.
HR & Workforce
Attrition, hiring funnels, workforce planning and skills analytics.
Operations
Throughput, quality, maintenance and supply reliability analytics.
Healthcare & Pharma
Clinical operations, patient flow and pharmaceutical data workflows.
Hands-On Data Science & AI Projects
Every project is reviewed, documented and added to your GitHub portfolio.
Data Quality & EDA Audit
Profile a raw dataset, document quality issues and produce a defensible exploratory analysis.
SQL Analytics Mart
Model and build a query-ready analytics mart with tested transformations.
BI Decision Dashboard
Turn modelled data into a decision-focused dashboard with clear metric definitions.
Supervised ML System
Build, tune and evaluate a classification or regression system with leakage controls.
Forecasting Scorecard
Produce time series forecasts with baselines, backtesting and error accounting.
Deep Learning / NLP App
Apply neural networks or transformers to a vision or language problem.
RAG Evidence Assistant
Ground answers in your own documents and datasets with retrieval and citation checks.
Agentic Data Scientist
Orchestrate multi-step analysis, modelling and reporting through supervised agent workflows.
Enterprise Capstone & Three-Month Internship
The capstone proves architecture
Explain that the capstone proves architecture and the internship proves sustained delivery under mentor review.
The internship proves delivery
Three months of sustained delivery under mentor review. The internship proves sustained delivery under mentor review, with staged discovery, build and delivery milestones.
Assessment and Credentials
Professional Diploma
Awarded on completion of the structured training, assessed projects and capstone.
Statement of Marks
Module-level assessment record covering projects, evaluation and viva.
Internship Completion Certificate
Issued after the supervised three-month internship delivery cycle.
GitHub Portfolio
Documented repositories for every assessed project and the capstone.
Capstone Evidence Pack
Architecture, evaluation results and delivery documentation for review.
Credentials are issued by Algo Labs on successful completion of the assessed components. Internship eligibility depends on attendance, project submissions and evaluation. Career outcomes describe capability alignment and are not a guarantee of employment.
Frequently Asked Questions
Start Your Data Science Diploma Journey
Talk to our team about batch dates, domain specialisation and the supervised internship pathway.
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Programme Practical Details
Algo Labs Programme Fact Sheet
Placement support is available for eligible learners. It includes resume and LinkedIn optimisation, GitHub portfolio preparation, interview preparation, mock interviews, career counselling and support in identifying relevant opportunities. No job or placement guarantee is provided.