Companies Hiring

00 +

Students Placed

00 +

Highest Package

00 LPA

Industry Experts

00 +

Highest Salary Hike

00 %

Alumni Network

Placement Stories

75% Hike
Business Analyst
Senior Program Manager

Avinash Singh

65% Hike
Fresher
System Engineer

Chitra Singh

50% Hike
Customer Care Executive
Senior Analyst

Bhavana Gusain

60% Hike
Marketing Intern
Analyst

Dolly Monga

80% Hike
Senior Data Engineer
Data Engineer

Sakshi Sharma

55% Hike
Python Developer
Incident Manager

Karishma Solanki

70% Hike
Supervisor
Lead Engineer

Aman Kumar Singh

55% Hike
Fresher
Operations Associate

Tarun Negi

45% Hike
Fresher
Senior Analyst

Payal Chaturvedi

50% Hike
Fresher
Software Engineer

Deepanshu Tomar

Get offers from 800+ top companies

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 experience

7k+

Students each year

24+

Award Winning

Career Launch & Job Offers

Unlock 2000+ hiring opportunities with a job-assured pathway. Step into high-demand Data Engineering & AI roles with industry-ready skills.

Dedicated Mentorship

Learn from top data engineers and AI experts. Receive 1:1 guidance on projects, tools, and career roadmaps.

Hands-On Learning

Master data pipelines, real-time analytics, and AI agents through interactive labs, projects, and use cases.

Certification Program

Earn a prestigious Post Graduate Certification in Data Engineering & Agentic AI to boost your global career prospects.

Real-World Projects

Work on enterprise-grade data engineering and AI automation projects to showcase your technical expertise and innovation skills.

Domain Specialization

Develop AI-driven data engineering solutions for BFSI, Healthcare, Retail, and other high-growth domains to stand out to employers.

Your goals are our goals

Key Highlights

300+ hours of live + interactive sessions with doubt-clearing
Real-world, mentor-led projects across industries
50+ Industry relevant Projects & Quizzes
Internship opportunities with & Sabak Harbor Consulting Club
Personal mentor for progress & tracking & issue resolution
40+ hours of resume building, & interview practice, and mock sessions
Live, expert-led sessions on ChatGPT, & Copilot, Gemini & AI automation
24/7 Expert Guidance, Anytime You Need
2000+ hiring partners, & guaranteed job interviews
Holistic ecosystem of live classes, & projects, internships & career support
Hackathons, blogathons, masterclasses & real-world challenges
10+ interview opportunities & with top employers.
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85% learners achieved career growth within 9 months of completion*

95% satisfaction score from program graduates*

Freshers bagged salary packages up to 30 LPA after the course*

Curriculum: Post Graduate Certification in Data Science & Analytics with GenAI

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

Python

Pandas

Pandas

Sklearn

Sklearn

Statsmodels

Statsmodels

MySQL

MySQL

AWS

AWS

GCP

GCP

 Azure

Azure

PySpark

PySpark

PyTorch

PyTorch

Keras

Keras

OpenAI

OpenAI

GPT

GPT

LlamaIndex

LlamaIndex

Claude

Claude

CrewAI

CrewAI

LangGraph

LangGraph

Autogen

Autogen

PowerBI

Power BI

Tableau

Tableau

 MongoDB

MongoDB

 Docker

Docker

Kubernetes

Kubernetes

Streamlit

Streamlit

Airflow

Airflow

MLFlow

MLFlow

Kafka

Kafka

Projects: Data Engineering with Generative & Agentic AI

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

Real-Time Data Pipeline with Agentic AI

Build a real-time ETL pipeline using Kafka and Spark for streaming data. Integrate Agentic AI agents to monitor data quality and trigger automated workflows. Use anomaly detection to prevent data corruption. Agentic AI will auto-scale compute resources based on data load. Final solution ensures end-to-end automation for real-time analytics. Know More


Skills Learned

Kafka

Spark

Agentic AI

AI-Enhanced Data Warehousing

Create a modern data warehouse using Snowflake or BigQuery with AI-driven metadata tagging. Agentic AI will optimize query performance and storage costs automatically. Generative AI will create data documentation and lineage diagrams. System provides proactive alerts for schema drift or data delays. Ideal for enterprise-scale analytics. Know More


Skills Learned

Data Warehousing

AI Automation

BigQuery/Snowflake

LLM-Powered Data Quality Checker

Build an automated data validation system using LLMs for anomaly detection. The system will flag errors and generate fix recommendations instantly. Integrate with ETL pipelines for real-time error correction. Agentic AI bots will auto-correct common data issues using predefined logic. Improves trust in analytics outputs. Know More


Skills Learned

Data Validation

LLMs

Pipeline Integration

RAG-Enabled Data Search Engine

Create a Retrieval-Augmented Generation (RAG) based search system for enterprise data lakes. It fetches relevant documents and summarizes results using LLMs. System supports natural language queries for business users. Multi-turn conversations enhance data exploration experience. Security layers ensure only authorized access to sensitive data. Know More


Skills Learned

RAG

Vector Databases

LLMs

Agentic AI Workflow Orchestrator

Develop a system where Agentic AI dynamically schedules ETL jobs. AI agents handle workflow failures, retries, and performance optimization. Autonomous decision-making ensures high availability and zero downtime. Dashboards provide real-time orchestration visibility for DevOps teams. Know More


Skills Learned

Agentic AI

ETL Orchestration

Workflow Automation

Data-to-Insights Automation

Automate reporting pipelines where Generative AI converts raw data into narratives. Executives receive real-time insights in natural language format. System generates PowerPoint or PDF reports automatically. AI highlights anomalies, forecasts, and recommendations. Know More


Skills Learned

GenAI Narratives

Data Storytelling

Forecasting

Intelligent Data Catalog with AI Agents

Build a smart data catalog where AI agents maintain metadata and automate data discovery. Search queries return contextual results with AI summaries. Agents automatically classify data assets based on usage patterns. Integrates with enterprise data governance frameworks for compliance. Know More


Skills Learned

Metadata Management

Data Discovery

AI Agents

AI-Powered Data Security & Compliance

Design an AI-powered security layer for data pipelines. Agentic AI ensures compliance with GDPR, HIPAA, and internal policies. Automated risk scoring and alerting prevent data leaks. Generative AI creates compliance reports for auditors. Know More


Skills Learned

Data Security

Compliance Automation

AI Governance

Domain-Specific Data Engineering Solutions

Build customized data engineering pipelines for BFSI, healthcare, or retail domains. Integrate Generative AI for industry-specific analytics automation. Use pre-trained domain LLMs for regulatory compliance checks. Deploy use-case specific dashboards for business stakeholders. Know More


Skills Learned

BFSI Analytics

Healthcare AI

Retail Automation

Capstone Project: AI-Driven Data Platform

Final project integrating ETL, Data Warehousing, RAG, and Agentic AI for a complete enterprise solution. End-to-end deployment with real-time monitoring, dashboards, and AI-powered analytics automation. Designed for production-ready scalability. Know More


Skills Learned

Full-Stack Data Engineering

Generative AI Integration

Automation Workflows

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

Build a career in Data Engineering with Generative & Agentic AI Specialisation and work in roles like:

What Can I Become?

Data Scientist

Job Openings

12k+

Job Openings

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

Job Openings

9k+

Job Openings

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

Job Openings

15k+

Job Openings

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

Job Openings

2.5k+

Job Openings

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

Job Openings

8k+

Job Openings

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

Job Openings

3k+

Job Openings

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

Job Openings

4.5k+

Job Openings

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

Job Openings

3.8k+

Job Openings

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

Job Openings

11k+

Job Openings

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

Job Openings

4.2k+

Job Openings

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

Job Openings

4k+

Job Openings

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.

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AI Solutions Architect

Job Openings

2k+

Job Openings

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.

% of Learners from Non IT Background
0%
% of Learners who are Working Professionals
0%
% of Learners with Age over 40
0%

Master your craft with renowned faculty

Instructors

Shashee Chauhan

Senior Data Science & AI Trainer

Shashee is a competent professional with 10+ years of industrial experience and currently serves as a Senior Data Science & AI Trainer. She is deeply passionate about leveraging Machine Learning and Artificial Intelligence to solve real-world problems. Her expertise spans across building advanced Question Answering Systems, Recommender Systems, and applied AI solutions that drive tangible business outcomes. Read More

Umang Vardhan Tyagi

Data Science & Business Analyst Trainer

Umang Vardhan Tyagi is a seasoned Data Science & Business Analytics Trainer with over 10 years of rich industry and academic experience. Proficient in Python, SQL, and advanced data analysis techniques, he has trained and mentored countless professionals and students in mastering data-driven decision-making. His expertise spans a wide range of machine learning methodologies including supervised and unsupervised learning, regression, clustering, neural networks, as well as Deep Learning, Computer Vision, and Natural Language Processing (NLP). With hands-on experience in transfer learning models and cutting-edge AI applications, Umang combines technical mastery with practical business insights, enabling learners to bridge the gap between theory and real-world problem-solving. Read More

Manas Tandon

Data Science Trainer

Manas Tandon is an experienced Data Science Trainer and Analytics Professional with a strong background in the US Healthcare and Insurance sector, well-versed in HIPAA policies and industry regulations. With expertise in Agile methodologies (JIRA/Confluence), he has successfully led projects by creating FRDs/FRS, design documents, and managing data products as a Product Owner while ensuring seamless client engagement. He brings a diverse professional journey spanning retail, start-up operations, and advanced data analytics, backed by a Post Graduate degree in Business Analytics from The University of Texas at Austin – McCombs School of Business. Combining his industry knowledge with academic rigor, Manas empowers learners to gain practical, business-focused data science skills. Read More

JILU BALAKRISHNAN

Data Science & AI Trainer

Jilu Balakrishnan is a Quantum AI Researcher and Artificial Intelligence Consultant with 15+ years of experience, currently pursuing a Ph.D. in Computer Science specializing in Quantum AI. She is passionate about advancing the fusion of quantum computing and machine learning to solve complex real-world problems. Her expertise spans AI/ML consulting, healthcare AI, LLMs, IoT, and cloud platforms like AWS and GCP. As an educator and mentor, she has empowered hundreds of professionals through cutting-edge AI training and research. Read More

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.

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Earn Your Certificate

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Step by Step

How do I join the Data Engineering with Generative & Agentic AI Specialisation?

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Apply Online

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Step 2

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Step 3

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Step 5

Join the Program

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Fee Structure

Program Fee

INR 1,20,000
(All Inclusive)

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Program Token Fee

INR 5,000
(All Inclusive)
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Frequently Asked Questions

Sabak Harbor offers industry-focused professional courses designed to enhance skills in finance, technology, business, and more.

The course duration varies from a few weeks to several months, depending on the program.

All courses are taught by experienced faculty members and industry experts.

Yes, most programs include certification exams to validate your learning.

You will receive a course completion certificate from Sabak Harbor, and in some cases, industry-recognized partner certifications.

Yes, you will have lifetime access to course materials and resources.

We combine practical learning, expert mentorship, and career support to ensure real-world outcomes for learners.

Yes, Sabak Harbor offers dedicated placement support including resume building, interview preparation, and job opportunities with hiring partners.

Our alumni work at top companies in finance, consulting, and technology. We continuously expand our hiring partner network.

Depending on your course, you can explore roles in investment banking, financial analysis, consulting, data analytics, and business strategy.

You will be guided by mentors from the industry who provide one-on-one support, doubt clearing, and career advice.

Our programs are open to students, graduates, and working professionals who want to upskill and advance their careers.

Most courses require only basic knowledge of the field, though some advanced programs may expect prior experience or qualifications.

Because Sabak Harbor provides industry-relevant learning, expert mentorship, recognized certifications, and strong placement support.

The fee covers course materials, live sessions, mentorship, project work, and certification. Some premium courses may include placement support as well.

Yes, we provide easy EMI options and financial assistance to make our programs affordable for learners.

Your first step to find your dream technical job.