Become an industry-ready Data Engineer with iHUB DivyaSampark – IIT Roorkee.
Live Classes by Industry Mentors & Academic Collaborators
iHUB DivyaSampark – IIT Roorkee Co-Branded Credential
Dedicated Placement Support with Hiring Partner Network
Expert led training
Real-World Experience
Live + Self-Paced
Python, ML, GenAI, Agentic, Data Engineering
Live + Self-Paced Training
2 Self-Learning Tracks
Happy Learners
Client reviews
Positive Rating
Generative AI, Agentic AI, and intelligent data platforms are reshaping the data profession. Our iHUB DivyaSampark – IIT Roorkee-collaborated program prepares you for premium hiring conversations at top global companies with industry-recognized, credential-aligned skills.
Get hands-on experience with the complete Data Science and AI toolkit trusted by leading companies.
Gain practical experience by building end-to-end enterprise infrastructure projects used in top companies.
End-to-end machine learning platform that predicts churn, scores customer value, and segments audiences—covering data cleaning, feature engineering, model training, and deployment for actionable business intelligence.
Real-time fraud detection system that flags suspicious transactions using anomaly detection and classification models—covering imbalanced-data handling, feature engineering, model evaluation, and production deployment.
Retrieval-augmented (RAG) assistant that answers questions from internal documents using embeddings, vector databases, and LLMs—covering chunking, retrieval pipelines, grounding, and hallucination reduction.
Personalized recommendation engine that suggests products or content using collaborative and content-based filtering—covering feature engineering, embeddings, model training, and ranking for higher engagement.
Time-series forecasting system that predicts retail demand across products and stores—covering data preparation, seasonality and trend modeling, ARIMA/ML forecasting, and deployment for inventory planning.
Multi-agent system that plans, reasons, and executes analytics and research tasks autonomously using LangChain, LangGraph, and CrewAI— covering tool usage, orchestration, and human-in-the-loop governance.
Conversational BI copilot that turns natural-language questions into queries, charts, and insights—covering natural-language-to-SQL, retrieval, and LLM-driven summarization for self-service analytics.
Document intelligence platform that extracts and understands data from scanned and digital documents—covering OCR, vision-language models, intelligent document processing, and structured data extraction.
Predictive platform that anticipates operational issues such as failures or bottlenecks—covering sensor/event data engineering, predictive modeling, drift monitoring, and deployment for proactive decisions.
Streaming analytics pipeline that ingests and processes live data for instant insights—covering Kafka streaming, Spark/Databricks processing, real-time feature pipelines, and dashboarding on a lakehouse architecture.
Enterprise IIT-aligned structure
Industry Experts + Cloud Architects
Live sessions + Enterprise Labs
Real-world capstone tracks
GenAI, LLMOps, Agentic Systems
Guided career preparation
Enterprise-aligned certificate
Peer learning + mentorship
Fragmented or topic-wise
Mostly recorded instructors
Mostly self-paced
Toy or academic projects
Limited or outdated
Minimal or none
Platform-issued certificate
Solo learning
Enterprise IIT-aligned structure
Industry Experts + Cloud Architects
Live sessions + Enterprise Labs
Real-world capstone tracks
GenAI, LLMOps, Agentic Systems
Guided career preparation
Enterprise-aligned certificate
Peer learning + mentorship
Fragmented or topic-wise
Mostly recorded instructors
Mostly self-paced
Toy or academic projects
Limited or outdated
Minimal or none
Platform-issued certificate
Solo learning
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I was looking for upcoming technologies, that's why I selected the automation course. StarAgile helped me to develop theoretical and practical knowledge, the training was very wonderful. I didn't have any experience in software testing, the course really helped me to become a tester. The trainer taught all topics in a clear way, and placement support helped me to get a job. I'll also recommend StarAgile to my friends!
I wanted to enter the IT domain, so as soon as I completed college, I joined a DevOps Course with StarAgile. During the course, the Trainer was very good, I understood the concepts more clearly, and after the placement support helped me to be placed. I liked both the training and placement support that StarAgile provided me. I will recommend 9 out of 10 to the StarAgile's DevOps course training.
I joined a DevOps course with StarAgile, and they taught me well. Soft skill development and the course helped me to develop personally and technically. I would highly recommend StarAgile for the DevOps course.
I worked as a data analyst, and I needed a career switch into DevOps. I researched and found StarAgile, which was the right choice. The course covered everything I needed, the trainer taught me well, and the support team was always available and helped me a lot. The career support team updated me regularly and helped me to get into the job.
I was working in the testing domain and thought of switching to DevOps. I thought DevOps could open a good career for me, a friend of mine referred StarAgile, and that's how I landed at StarAgile. The training was very helpful. The career support team kept me posted on every action and mock interviews and interview preparation. It helped a lot to get a job. I'll strongly recommend StarAgile to my friends
I have completed my DevOps course at StarAgile. I learned about GIT, Kubernetes, CI/CD pipelines, Docker, and many tools. I got the chance of working in real time projects that helped me get my job. The trainer was really good, he taught in a simple and easy way. I am glad to have a career support program that helped me with placement. I will recommend StarAgile to my friends.
I did extensive research on Google and YouTube about which course to join, and I preferred the DevOps course. I got my certification from StarAgile, and they also provided placement support. Training was good, since I am from a non-IT background, it took some time to understand, but the trainer was also ready to explain a number of times until I was clear. Sure, I'll recommend the course to my friends.
The DevOps training was very good. I learned new topics and tools from the training. The trainer was a very knowledgeable person who helped me to develop the required skills to get my job. I came to know about StarAgile online, and I am happy to have gone through this training.
I have completed a computer science degree. After that, I worked in app development, where I developed an interest in DevOps, so I joined this course. During the course, I developed knowledge on DevOps tools and during the course, I had an internship certification that helped in placement. Real life projects helped me to develop practical experience in DevOps tools. Now I got placement in my hometown.
I recently completed DevOps training and got certified. It was a good experience. The training was with simple examples, and the training was structured and simple. The placement support was very good, including resume building and interview preparation, which increased my confidence. Overall, the training was excellent. I would recommend StarAgile for DevOps and other courses too.
I transitioned from System Support to DevOps with a Mechanical Engineering background. The hands-on training in CI/CD, Ansible, Docker, and Git was clear and practical. The placement team supported me until I got selected. The overall learning experience was very smooth and career-changing. I rate StarAgile 9/10.
While studying Computer Science, I developed an interest in Cloud and DevOps and joined StarAgile’s DevOps course. The training covered concepts from scratch and helped me master important tools and job-ready skills. The career support team guided me with interview preparation and soft skills, which helped me crack the interview. Overall, it was a great experience with StarAgile.
I went through the reviews of StarAgile, and then I joined the DevOps training. The training was very helpful to me; I learned all DevOps tools. After completing the training, placement support made a call to me regarding the interview details. The support team helped me to learn my mistakes in mock interviews and then get a good job.
I have completed my DevOps course from StarAgile. The training was pretty good. The mentors as well as trainers were helpful. I joined StarAgile after looking through the reviews. The placement team updates me daily about the job openings and reviews of the mock interviews helped me to clear my first interview to enter my job. I'll recommend the training to my friends and connections.
The training helped me build strong DevOps knowledge from scratch. The trainer and mentor guided me with study materials, assignments, projects, and interview preparation. I gained confidence in tools and integrations, and the career support team helped me clear the interview. Overall, it was a valuable and career-transforming experience.
Freshers entering Data & AI Engineering
Analysts upskilling to machine learning & AI
Non-IT graduates and career switchers
Working developers & data professionals
Aspiring Data Engineers, ML Engineers & AI Engineers
BI / reporting professionals moving into AI
Senior professionals targeting AI leadership roles
roles
Engineers exploring Generative AI, RAG & Agentic AI
Any UG or PG degree (Engineering, CS, Mathematics, or
related disciplines)
Quantitative backgrounds accelerate progress
Working professionals looking to switch careers
Basic computer literacy and logical reasoning
No prior data science or coding experience required —
curriculum begins from Python fundamentals
Complete the application and include a brief statement of purpose.
An admission panel will shortlist candidates based on their applications.
Eligible candidates need to accept the offer by paying the program fee.
Fill in your details to begin your application.
1. Python Engineering for Data & Intelligent AI Systems
Learning Objectives
Write clean, modular Python for data and AI workflows, including file/API handling and AI-assisted development with ChatGPT and Copilot.
2. Intelligent Data Platforms & Advanced SQL Engineering
3. Excel & Business Analytics Foundations
4. Data Analysis & Exploratory Analytics
5. Machine Learning Engineering & Predictive Intelligence
6. AI Deployment, MLOps & Production Systems
7. Deep Learning & Intelligent Vision Engineering
8. AI Mathematics, Statistics & Probabilistic Systems
9. Generative AI Engineering & Foundation Models
10. Retrieval-Augmented Generation (RAG) & Enterprise Knowledge Systems
11. Agentic AI Engineering & Autonomous Systems
12. Intelligent Data Engineering & Modern AI Platforms
13. Cloud AI Infrastructure & Advanced MLOps
14. Advanced Machine Learning & AI Optimization
15. Multimodal AI Systems
16. Enterprise Capstone Projects
17. Power BI (Online Self-Learning)
18. Tableau (Online Self-Learning)
Upon completing the Professional Certification in Intelligent Data Engineering with Generative and Agentic AI Systems with iHUB DivyaSampark – IIT Roorkee, you'll receive an iHUB DivyaSampark – IIT Roorkee co-branded credential with lifetime validity to showcase your expertise. StarAgile certificates are formatted for sharing on LinkedIn.
1. What certification will I receive after completing this program?
2. Which industry certifications does this program prepare me for?
3. Does the program cover Generative AI and Agentic AI certifications?
4. How does the certification enhance my career credibility?
5. Are there any practical components tied to the certification?
6. What is the total duration of the training program?
7. How is the training delivered?
8. What topics are covered in the foundation phase?
9. What advanced technologies are covered during the training?
10. Are there any hands-on projects during the training?
11. Who is this program designed for?
12. Do I need prior data science or coding experience to enroll?
13. What career roles can I pursue after completing this program?
14. What kind of placement support is offered?
15. How is the assessment structured throughout the program?
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