Professional Certification in Data Science, AI Engineering, & Agentic AI
Placement Assistance
Master Python, SQL, ML, Databricks & modern AI tools end-to-end - Build Generative AI, RAG & Agentic AI systems for enterprises
- 180 hours of live + self-paced, project-driven AI training
- 7 industry capstones + 11 mini projects for a job-ready portfolio
- Aligned to 12 globally recognized data & AI certifications
- Co-branded credential with Vishlesan i-Hub, IIT Patna
AI-Native Data Science & Data Engineering - Key Features
Master Python, SQL, ML, Databricks & modern AI tools end-to-end - Build Generative AI, RAG & Agentic AI systems for enterprises
- 180 hours of live + self-paced, project-driven AI training
Master Python, SQL, ML, Databricks & modern AI tools end-to-end - 7 industry capstones + 11 mini projects for a job-ready portfolio
- Aligned to 12 globally recognized data & AI certifications
- Co-branded credential with Vishlesan i-Hub, IIT Patna
Significant Demand Growth
and growing at rate of 36%
Testimonials
Let's walk you through the journey at StarAgile
- Module 1
- Module 2
- Module 3
- Module 4
- Module 5
- Module 6
- Module 7
- Module 8
- Module 9
- Module 10
- Module 11
- Module 12
- Module 13
- Module 14
Learning Objective: Build a solid Python foundation and use AI-assisted tools to write, debug, and automate data workflows — no prior coding needed.
Topics: Introduction to Python, Python fundamentals (variables, data types, operators, I/O, type casting); decision-making & control flow (conditional statements, nested conditions, loops and iterations, break, continue and pass, practical coding); data structures (lists, tuples, dictionaries, sets, strings, comprehensions); functions & modular programming (lambda, closures, decorators, scope); exception handling; file handling (reading and writing files, CSV, JSON, APIs); AI-assisted development (code generation using ChatGPT, GitHub Copilot for developers, prompt-driven dev). Mini Project: Intelligent Data Cleaning and Automation Utility
- Profile and Resume building
- Business Communication
- Competency Challenge Test
- Technical Mock Interviews
- Profile and Resume building
- Portfolio Building
- Build highly optimized Resumes and Cover Letters
- Build your LinkedIn Profile
Upcoming Data Science with AI Batches
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Overview of Professional Certification in Data Science,AI Engineering, & Agentic AI
Data and AI are now the highest-growth, highest-paid skill sets in the technology market, and employers want professionals who can do more than build models — they want people who can engineer data, deploy AI, and design autonomous, agentic systems. This 180-hour Professional Certification builds exactly that profile, taking you from Python and SQL foundations through machine learning, deep learning, Generative AI, RAG, and Agentic AI, all the way to modern data engineering on Databricks and Spark. It is the bridge between "knowing data science" and "leading AI-powered data systems," positioning you for roles that didn't even exist three years ago.
Why this certification matters for your career:
It future-proofs you. As routine analytics gets automated, the premium shifts to those who can build, deploy, and govern intelligent systems — and this program puts you on that side of the line.
What StarAgile offers you:
Live instructor-led sessions, enterprise-grade hands-on labs, 7 real-world capstones, a mini project in every module, and a curriculum mapped to 12 industry certifications — delivered with mentorship and career support, and offered in association with TIH-IIT Patna.
Eligibility:
Freshers, graduates, working professionals, analysts, and engineers aiming to enter or advance in Data Science, Data Engineering, ML, or AI roles.
Prerequisites:
No prior AI background required; basic logical and quantitative aptitude and a willingness to learn Python are sufficient to begin.
Data Science with AI Certificate
- AI-Native Certificate
- Course Completion Certificate
- Project Certificate
- Microsoft Certification
Skills Covered
- Data Handling & Analysis
- Programming & Scripting
- Machine Learning & AI
- Data Science Foundations
- Database & Querying
- Visualization & Reporting
- Cloud, Automation & Integration (Introductory)
Tools Covered
Capstone Projects
- Churn Prediction
- Customer Intelligence
- Predictive Analytics
- Fraud Detection
- Risk Intelligence
- Anomaly Detection
- RAG Architecture
- Vector Databases
- Enterprise Search
- Customer Segmentation
- Behavioral Analytics
- Personalization
- Demand Forecasting
- Time-Series Modeling
- Inventory Optimization
- Agentic AI
- Autonomous Analytics
- Decision Support
- Recommendation Systems
- Personalization
- Engagement Uplift
Professional Certification in Data Science, AI Engineering, & Agentic AI FAQs
Upon successful completion, learners receive the Professional Certification in Data Science, AI Engineering, & Agentic AI, awarded in association with Vishlesan i-Hub, IIT Patna. The program is also strategically aligned with globally recognized credentials — including Python Institute PCEP, Oracle SQL, Microsoft Azure AI Engineer (AI-102), AWS Machine Learning Engineer, TensorFlow Developer, IBM Data Science, and Databricks Data Engineer — helping you build strong enterprise credibility.
The curriculum is mapped to 12 in-demand certifications, including Python Institute PCEP, Oracle Database SQL Certified Associate, Microsoft Office Specialist: Excel, Google Data Analytics, Microsoft Azure AI Engineer (AI-102), AWS Certified Machine Learning Engineer – Associate, TensorFlow Developer, IBM Data Science, Microsoft Applied Skills for Azure OpenAI, NVIDIA Generative AI with LLMs, LangChain for LLM Application Development, and Databricks Certified Data Engineer Associate.
Yes. The advanced modules align with AI-focused credentials such as Microsoft Applied Skills: Build Generative AI Solutions with Azure OpenAI Service, NVIDIA Generative AI with LLMs, and LangChain for LLM Application Development, which cover Generative AI, RAG, and Agentic AI engineering.
The certification validates your ability to engineer data pipelines, build and deploy machine learning and deep learning models, and design Generative AI, RAG, and Agentic AI systems. This recognition strengthens your profile for data science interviews, data engineering roles, ML and MLOps positions, and emerging Agentic AI systems roles.
Yes. The program is built around enterprise-grade hands-on labs, a mini project in every module, and 7 real-world capstone projects, ensuring learners gain practical experience alongside theoretical knowledge.
The program runs for 180 hours and is delivered in a blended live + self-paced format. It spans 12 core modules — from Python, SQL, and machine learning through Generative AI, RAG, Agentic AI, and modern data engineering — plus self-learning tracks in Power BI and Tableau, and 7 capstone projects.
Training is delivered through live instructor-led sessions, enterprise-grade labs, real-world workshops, and industry capstone projects, ensuring a balanced mix of conceptual learning and practical implementation.
The foundation modules cover Python programming, SQL and intelligent data management, Excel and business analytics, exploratory data analysis, statistics and mathematics for AI, and machine learning fundamentals — making the program suitable for beginners.
Advanced training includes deep learning and computer vision (TensorFlow, CNNs), Generative AI and foundation models (GPT, Gemini, Claude, Llama), Retrieval-Augmented Generation with vector databases (Pinecone, ChromaDB, FAISS), Agentic AI frameworks (LangChain, LangGraph, CrewAI), MLOps (Docker, FastAPI, MLflow), and modern data engineering (Databricks, Spark, Delta Lake).
Yes. Learners complete a mini project in every module — such as a churn prediction platform, an enterprise RAG knowledge assistant, and an autonomous analytics agent — along with a choice of capstones, including a Financial Risk & Fraud Detection Platform, a Demand Forecasting System, and an AI-Powered Recommendation Engine.
This program is designed for freshers, graduates, career switchers, working professionals, analysts, and engineers who aim to enter or advance in roles across Data Science, Data Engineering, Machine Learning, MLOps, Generative AI, or Agentic AI.
No prior AI or data science background is required. The early modules are designed for beginners, covering Python, SQL, Excel, and statistics from the ground up before advancing to machine learning and AI topics.
Graduates can pursue roles such as Data Scientist, Data Engineer, Machine Learning Engineer, MLOps Engineer, Data Analyst, Generative AI Engineer, AI Engineer, RAG/Knowledge Systems Engineer, and Agentic AI Systems Engineer across industries.
The program offers dedicated placement support, including Resume Engineering Workshops, GitHub Portfolio Development, LinkedIn Optimization, Mock Technical Interviews, Career Mentorship Sessions, a Hiring Partner Network, Industry Referrals, and Interview Coordination.
Assessment is built around weekly assignments, hands-on labs, quizzes, module mini projects, a mid-program practical evaluation, and a final capstone, ensuring continuous, practical evaluation rather than academic quizzes alone.
No. Vishlesan i-Hub, TIH - IIT Patna, or IIT Patna does not provide or manage placements and is not involved in placement assistance. All placement-related support is handled entirely by StarAgile.
Any collaboration, partnership, association, or engagement undertaken pursuant to this program shall be exclusively with StarAgile. Such engagement shall not be interpreted, represented, or construed in any manner as a collaboration, partnership, association, or direct engagement with the Technology Innovation Hub - IIT Patna (Vishlesan i-Hub) or the Indian Institute of Technology Patna.
Distinctions and Achievements
About Professional Certification in Data Science,AI Engineering, & Agentic AI Course
Is a 180-hour, end-to-end program that transforms beginners and professionals into job-ready AI practitioners. Across 12 core modules plus Power BI and Tableau self-learning tracks, you master Python, SQL, statistics, machine learning, deep learning, and computer vision, then advance into Generative AI, Retrieval-Augmented Generation, and Agentic AI, finishing with modern data engineering on Databricks, Spark, and Delta Lake. Every module includes a hands-on mini project, and the program culminates in seven enterprise capstones — building a complete, portfolio-ready skill set for high-growth careers in data, AI, and intelligent systems, offered in association with Vishlesan i-Hub, IIT Patna.
Benefits of Professional Certification in Data Science, AI Engineering, & Agentic AI
Benefits of the Certification
- Validates a complete, in-demand skill set spanning data science, data engineering, and applied AI in a single credential.
- Builds a portfolio of 7 capstones and 11 mini projects that proves your ability to employers and interviewers.
- Maps your learning to 12 globally recognized certifications, multiplying the credibility of one program.
- Demonstrates rare, future-facing expertise in Generative AI, RAG, and Agentic AI that most candidates lack.
- Backed by StarAgile mentorship, enterprise-grade labs, and structured career support.
- Carries a co-branded executive credential in association with TIH-IIT Patna.
Learning Outcomes
By the end of the program, you will be able to:
- Write production-grade Python and advanced SQL for data science, automation, and analytics.
- Perform exploratory analysis, statistical testing, and data visualization on enterprise datasets.
- Build, evaluate, and tune machine learning, deep learning, and computer vision models.
- Deploy and monitor models using MLOps tools like Docker, FastAPI, and MLflow.
- Design Generative AI, RAG, and multi-agent Agentic AI systems for enterprise use cases.
- Engineer modern data platforms and pipelines with Databricks, Spark, and Delta Lake.
Tools & Technologies Covered
- Python
- SQL
- Pandas
- NumPy
- Scikit-Learn
- TensorFlow
- Keras
- XGBoost
- Databricks
- Apache Spark
- Kafka
- MLflow
- Docker
- FastAPI
- ChatGPT
- Gemini
- Claude
- Llama
- LangChain
- LangGraph
- CrewAI
- Pinecone
- ChromaDB
- FAISS
- AWS
- Azure
- Google Cloud
- Power BI
- Tableau
Career Benefits of the Certification
- Qualifies you for high-growth roles: Data Scientist, Data Engineer, ML Engineer, MLOps Engineer, Generative AI Engineer, and Agentic AI Systems Engineer.
- Positions you for the salary premium associated with AI and data engineering skills relative to traditional analytics roles.
- Equips you to clear technical interviews with demonstrable, project-backed competence rather than theory alone.
- Opens cross-industry mobility — finance, retail, healthcare, and tech all hire for these capabilities.
- Prepares you to lead AI initiatives, not just contribute to them, accelerating your path to senior and architect-level roles.
- Strengthens your profile with a credential co-branded with Vishlesan i-Hub, IIT Patna.
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