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About the Program
Sabak Harbor’s Data Engineering with Generative & Agentic AI Specialisation is designed for learners aiming to master the backbone of modern AI systems—data pipelines, scalable architectures, and intelligent automation. This program bridges the industry skill gap with in-depth training, hands-on projects, and mentorship from leading data engineering and AI professionals. It is ideal for fresh graduates and early-career professionals (0–3 years) looking to build expertise in data-driven systems and next-gen AI solutions.
Learners will gain practical experience with cutting-edge data engineering tools, advanced ETL pipelines, and AI-powered automation frameworks. The program also dives into Generative & Agentic AI applications such as AI-driven workflows, Retrieval-Augmented Generation (RAG), and intelligent agents, enabling you to design scalable, automation-ready data solutions for real-world enterprise use cases.
06+
Years experience7k+
Students each year24+
Award Winning
Key Highlights
Experience an all-new 2025 curriculum
- 6 Weeks
- 1280 Students
- 4.7 (845 ratings)
Learn core concepts of Data Engineering, ETL pipelines, and Agentic AI workflows to build scalable and intelligent systems.
Topics covered
Data Engineering Basics: Architecture, pipelines, ETL.
Cloud Platforms: Storage & compute fundamentals.
Agentic AI Introduction: Autonomous AI workflows.
Generative AI Overview: RAG, LLM integration.
Data Governance: Security, privacy, compliance basics.
Skills acquired
Data Engineering Foundations
ETL Concepts
Agentic AI Basics
Generative AI Fundamentals
Cloud Fundamentals
- 5 Weeks
- 1165 Students
- 4.8 (692 ratings)
Gain proficiency in Python and SQL for data manipulation, pipeline automation, and database operations.
Topics covered
Python Programming: Scripting, libraries, automation.
SQL Fundamentals: Joins, indexing, optimization.
Data APIs: Data access & integration.
Data Cleaning: Preprocessing & transformations.
Pipeline Scripting: Automating ETL workflows.
Skills acquired
Python for Data Engineering
SQL Mastery
ETL Automation
Data Cleaning Techniques
API Integration
- 6 Weeks
- 1104 Students
- 4.7 (768 ratings)
Build modern ETL pipelines, master data warehousing concepts, and learn orchestration with tools like Airflow.
Topics covered
ETL Workflows: Batch & real-time pipelines.
Data Warehousing: Snowflake, Redshift basics.
Data Orchestration: Apache Airflow, Dagster.
Data Lakes: Storage & retrieval systems.
Automation: CI/CD pipelines for data engineering.
Skills acquired
ETL Pipelines
Data Warehousing
Orchestration Tools
Data Lakes
Pipeline Automation
- 6 Weeks
- 1024 Students
- 4.8 (789 ratings)
Master cloud data platforms, distributed data processing, and big data ecosystems like Hadoop and Spark.
Topics covered
Big Data Ecosystem: Hadoop, Spark fundamentals.
Cloud Platforms: AWS, Azure, GCP for data engineering.
Real-Time Data: Kafka, Flink for stream processing.
Cloud Storage: S3, Data Lakes, Delta Lakes.
Scalable Architectures: Building high-performance pipelines.
Skills acquired
Big Data Tools
Cloud Data Engineering
Real-Time Streaming
Data Lake Architectures
Scalable Data Systems
- 5 Weeks
- 980 Students
- 4.7 (715 ratings)
Learn how to integrate Generative AI tools like LLMs and RAG frameworks into data pipelines for intelligent processing.
Topics covered
LLM Basics: How language models work.
RAG Frameworks: Retrieval-Augmented Generation for data queries.
AI Assistants: Integrating AI agents into workflows.
Data Summarization: Automated reporting with AI.
AI in ETL: Intelligent data cleaning and enrichment.
Skills acquired
LLM Integration
RAG Frameworks
AI Data Automation
AI-Powered ETL
Data Summarization
- 4 Weeks
- 875 Students
- 4.8 (688 ratings)
Build autonomous AI agents for decision-making, workflow automation, and intelligent orchestration of data pipelines.
Topics covered
Agentic AI Concepts: Multi-agent systems.
Workflow Automation: AI-driven orchestration tools.
Decision Agents: Real-time decision pipelines.
Data Alerts: Automated monitoring & anomaly detection.
Agentic AI Case Studies: Enterprise automation use cases.
Skills acquired
Agentic AI Design
Workflow Automation
AI-Orchestration Tools
Decision-Making Pipelines
Real-Time Monitoring
- 5 Weeks
- 950 Students
- 4.6 (702 ratings)
Learn algorithms, data structures, and system design principles critical for building high-performance data platforms.
Topics covered
Data Structures: Arrays, Trees, Hashmaps for data pipelines.
Algorithms: Sorting, searching, optimization techniques.
System Design: Distributed systems architecture.
Scalability: Load balancing, fault tolerance.
Case Studies: Large-scale data platforms.
Skills acquired
Algorithms for Data
Data Structures
System Design
Scalable Architectures
Fault Tolerance Techniques
- 3 Weeks
- 810 Students
- 4.7 (643 ratings)
Apply data engineering & AI solutions in BFSI, Healthcare, Retail, and E-commerce industries.
Topics covered
BFSI: Fraud detection, risk analytics.
Healthcare: Patient analytics, automation.
Retail: Recommendation engines, demand forecasting.
E-commerce: Personalization & customer analytics.
AI Use Cases: Industry-specific AI automation.
Skills acquired
BFSI Analytics
Healthcare Data Solutions
Retail AI Use Cases
E-commerce Analytics
Industry-Specific AI
- 4 Weeks
- 760 Students
- 4.9 (512 ratings)
Work on a real-world capstone project integrating Data Engineering, Generative AI, and Agentic AI concepts.
Topics covered
Capstone Project: End-to-end data solution.
Portfolio Development: Showcase your skills.
Career Mentorship: Resume, interview guidance.
Mock Interviews: AI, data engineering domains.
Job Readiness: Soft skills, career roadmaps.
Skills acquired
Project Management
Portfolio Development
Interview Preparation
Career Planning
Job Readiness
Master the 80+ Essential Industry Tools
Python
Pandas
Sklearn
Statsmodels
MySQL
AWS
GCP
Azure
PySpark
PyTorch
Keras
OpenAI
GPT
LlamaIndex
Claude
CrewAI
LangGraph
Autogen
Power BI
Tableau
MongoDB
Docker
Kubernetes
Streamlit
Airflow
MLFlow
Kafka
Work on enterprise-grade Data Engineering & Agentic AI projects for real business impact
Design modern data pipelines, integrate Generative AI, and build automation workflows using Agentic AI to solve large-scale enterprise challenges.
20+
Data Engineering & AI Projects
Future-Ready Education for Career Success
Placement-Oriented Training
Accelerate your career with job-focused training designed to build the exact skills employers demand. We prepare you with industry projects, mock interviews, and career guidance.
Certification with Credibility
Earn globally recognized certifications that strengthen your resume and give you a competitive edge in the job market.
Flexible Learning Paths
Learn at your own pace with customized schedules that adapt to your lifestyle. Whether you’re working, studying, or switching careers—our flexible programs fit right in.
Career Growth Support
From resume building to interview prep, our dedicated career support team helps you land your dream role and advance your professional journey.
Lifetime Resource Access
Enjoy unlimited access to premium course materials, toolkits, and recorded sessions, ensuring you always stay ahead—even after completing the program.
Global Networking Opportunities
Join an active community of learners, alumni, and industry professionals worldwide. Build valuable connections and unlock new career opportunities.
Expert-Led Mentorship
Learn directly from seasoned mentors with years of real-world experience. Get personalized guidance, career advice, and feedback to sharpen your skills.
Hands-On Industry Projects
Work on live projects and case studies that simulate real business challenges. Gain practical experience and showcase job-ready skills to future employers.
Learner Support
Dedicated Mentorship
- One-to-one guidance tailored to your learning style
- Academic support with personalized study strategies
- Career navigation with resume and interview prep
- Interactive sessions with industry-experienced mentors
- Continuous motivation to keep you on track
24 x 7 Available
1:1 Expert Guidance
On-Demand Tutoring
- Quick assistance for challenging subjects
- Structured sessions with certified tutors
- Doubt resolution within minutes
- Concept reinforcement through interactive lessons
- Proven track record with top learner ratings
Highly Rated
Smart Learning
Professional Skills Training
- Practical workshops on leadership and teamwork
- Communication and public speaking coaching
- Real-world scenarios to practice problem solving
- Confidence building for interviews and presentations
- Industry-focused approach to workplace readiness
Expert Coaches
Career-Driven
What Can I Become?
Data Scientist
12k+
Job Openings
₹10–18 LPA
Average Salary
Data Scientists analyze large datasets to uncover patterns, build predictive models, and provide actionable insights that drive strategic decisions. They use advanced statistical methods, machine learning, and AI to solve complex business problems.
Machine Learning Engineer
9k+
Job Openings
₹9–16 LPA
Average Salary
ML Engineers design, build, and optimize machine learning models that power AI-driven applications. They work with big data pipelines, deep learning frameworks, and deploy models for real-world business solutions.
Data Analyst
15k+
Job Openings
₹6–10 LPA
Average Salary
Data Analysts collect, clean, and interpret data to provide clear insights for decision-making. They create reports, dashboards, and visualizations to help organizations track performance and identify opportunities.
AI Researcher
2.5k+
Job Openings
₹12–20 LPA
Average Salary
AI Researchers focus on advancing the field of artificial intelligence by developing new algorithms, models, and applications. They work on cutting-edge areas such as deep learning, NLP, and computer vision.
Business Intelligence Analyst
8k+
Job Openings
₹7–12 LPA
Average Salary
BI Analysts transform raw data into meaningful insights, helping businesses optimize performance and uncover growth opportunities.
Deep Learning Specialist
3k+
Job Openings
₹11–18 LPA
Average Salary
Deep Learning Specialists develop and train advanced neural networks for applications such as speech recognition, autonomous systems, and AI vision.
NLP Engineer
4.5k+
Job Openings
₹9–15 LPA
Average Salary
NLP Engineers specialize in language-based AI, building applications like chatbots, translators, and sentiment analysis systems.
Computer Vision Engineer
3.8k+
Job Openings
₹10–17 LPA
Average Salary
Computer Vision Engineers design AI systems that enable machines to analyze and understand images and videos for real-world applications.
Data Engineer
11k+
Job Openings
₹8–14 LPA
Average Salary
Data Engineers build robust pipelines and architectures that allow organizations to collect, process, and store massive volumes of data efficiently.
Generative AI Specialist
4.2k+
Job Openings
₹10–18 LPA
Average Salary
Generative AI Specialists design, build, and deploy solutions using advanced AI models like GPT and diffusion models. They create intelligent systems for content generation, automation, chatbots, and business innovation across industries.
Data Product Manager
4k+
Job Openings
₹12–20 LPA
Average Salary
Data Product Managers bridge business goals and data capabilities, designing AI-driven products and ensuring data solutions deliver measurable business value.
AI Solutions Architect
2k+
Job Openings
₹15–25 LPA
Average Salary
AI Solutions Architects design large-scale AI systems and integrate machine learning models into enterprise environments, aligning AI initiatives with business strategy.
Learner Profiles
We welcome learners from diverse professional and academic backgrounds who aspire to accelerate or transition their careers. Our programs are designed to be inclusive, flexible, and impactful, ensuring success for individuals at every stage of their journey.
Diverse Learners, One Goal: Career Growth
Our programs attract learners from varied academic and professional backgrounds, united by the ambition to upskill, transition, and accelerate their careers.
Master your craft with renowned faculty
Instructors
Certification
Upon successful completion of our Data Engineering with Generative & Agentic AI Specialisation, you will receive:
- Our Certificate: A prestigious Post Graduate Certification showcasing your advanced skills and job readiness in Data Science & AI.
- IBM Certification: Industry-recognized credentials from IBM validating your expertise in AI, ML, and data-driven technologies.
- Microsoft Certification: A globally valued certification from Microsoft demonstrating your proficiency in cloud, analytics, and AI-powered solutions.
These certifications boost your credibility, enhance your value, and propel your career toward accelerated growth.
Earn Your Certificate
Share your Achievement
How do I join the Data Engineering with Generative & Agentic AI Specialisation?
Apply Online
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