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About the Program
Sabak Harbor’s Post Graduate Certification Program in Data Science and Analytics with GenAI is designed to prepare ambitious learners for high-growth careers in the AI-driven world. This comprehensive program bridges the skills gap by combining hands-on training, real-world projects, and mentorship from industry leaders. Tailored for fresh graduates and early-career professionals (0–3 years of experience), it equips you with the analytical mindset, problem-solving skills, and technical expertise required to excel in data and AI-powered roles.
You’ll work with 35+ cutting-edge tools and real-world projects, gaining practical exposure to Generative AI applications like ChatGPT, Copilot, and Gemini. The program also covers advanced frameworks such as Retrieval-Augmented Generation (RAG), empowering you to accelerate coding, automate reporting, streamline data workflows, and drive AI innovation across industries.
06+
Years experience7k+
Students each year24+
Award Wining
Key Highlights
Experience an all-new 2025 curriculum
- 1 Course
- 5 Weeks
- 64 Students
- 4.5
Begin your journey with the must-have foundations of Data Science, enriched with Generative AI applications. Learn Excel, SQL, and Python while leveraging GenAI tools to accelerate coding, automate workflows, and craft impactful data stories. This module sets the stage for your transition into advanced analytics and AI.
Topics covered
Excel for Analytics: Formulas, pivot tables,
dashboards, and KPI reporting.
SQL Basics: SELECT queries, JOINS, aggregations,
subqueries, and schema design.
Python Essentials: Data types, loops, functions,
automation with GenAI support.
Data Storytelling: Transform raw data into compelling
insights with visualization and AI-assisted narratives.
Mini Project: Build a MegaMart Sales Dashboard
with GPT-powered automation.
Version Control (Git/GitHub): Manage and collaborate on projects effectively.
Data Cleaning with Pandas: Handle missing values, duplicates,
and outliers with AI-augmented techniques.
Skills acquired
Excel
Pivot Tables
SQL
Python
Data Storytelling
Git & GitHub
Pandas
Data Cleaning
GenAI for Productivity
- 7 Weeks
- 1042 Students
- 4.6 (765 ratings)
Understand how AI is transforming industries and learn to leverage Generative AI tools like ChatGPT, Copilot, and Gemini to accelerate your workflows.
Topics covered
AI & GenAI Fundamentals: Key concepts, types,
and business use cases.
Prompt Engineering: Designing effective prompts for analytics,
reporting, and automation.
Case Studies: How organizations adopt AI to g
ain competitive advantage.
AI Tools Hands-On: ChatGPT, Copilot, Gemini,
Claude for real-world productivity.
Generative Media: Text, images, video creation
with AI platforms.
Ethics & Governance: Fair AI, bias detection,
compliance frameworks.
Practical Automation: Build workflow automation
pipelines using GenAI assistants.
Skills acquired
AI Fundamentals
Generative AI Tools
Prompt Engineering
Workflow Automation
Case Study Analysis
AI Ethics & Governance
ChatGPT / Copilot
Gemini / Claude
- 7 Weeks
- 1042 Students
- 4.6 (765 ratings)
Develop statistical reasoning to validate data-driven decisions. Enhance classical statistics with AI-assisted insights for faster and more reliable reporting.
Topics covered
Descriptive & Inferential Statistics: Variance, correlation,
and confidence intervals.
Probability Models: Normal, binomial, Poisson distributions.
Hypothesis Testing: ANOVA, Chi-Square, t-tests, p-values.
Regression Basics: Linear regression for predictive analytics.
Resampling: Bootstrapping and reliability testing.
Bayesian Analysis: Probability applications in AI systems.
AI-Assisted Analysis: Automate hypothesis validation
and reporting with GenAI.
Skills acquired
Descriptive Statistics
Inferential Statistics
Probability Models
Hypothesis Testing
ANOVA & Chi-Square
Regression Basics
Bayesian Analysis
AI-Driven Reporting
- 7 Weeks
- 1042 Students
- 4.6 (765 ratings)
Dive into machine learning algorithms while exploring how GenAI accelerates model building, testing, and optimization. Learn to solve predictive and prescriptive business problems with AI-assisted workflows.
Topics covered
Supervised Learning: Regression, classification, decision trees, ensembles.
Unsupervised Learning: Clustering, PCA, segmentation techniques.
Time Series Forecasting: Demand, sales, and trend prediction.
Feature Engineering: Encoding, scaling, feature selection.
Model Tuning: ROC-AUC, confusion matrix, hyperparameter search.
Ensemble Models: Random forests, XGBoost, bagging & boosting.
AutoML & GenAI: Build models faster using AI-powered platforms.
Skills acquired
Regression
Classification
Decision Trees
Random Forests
Clustering
PCA
Time Series Forecasting
AutoML & GenAI
- 7 Weeks
- 1042 Students
- 4.6 (765 ratings)
Learn the art of visual storytelling with dashboards and BI platforms. Leverage AI-powered insights to create interactive, executive-ready reports that drive decisions.
Topics covered
Tableau & Power BI: Build professional dashboards and KPIs.
DAX & Analytics: Perform advanced calculations inside BI tools.
Interactive Reports: Drill-downs, real-time updates, and dynamic dashboards.
AI-Powered BI: Copilot & natural language queries for instant insights.
Storyboarding Data: Visual storytelling for executives.
Case Study: End-to-end BI dashboard for real datasets.
Skills acquired
Tableau
Power BI
DAX Calculations
Interactive Dashboards
Copilot for BI
Data Storyboarding
Visualization Design
Business Reporting
- 7 Weeks
- 1042 Students
- 4.6 (765 ratings)
Master NLP techniques and apply cutting-edge Large Language Models (LLMs) like GPT, BERT, and LLaMA to real-world applications in text, chatbots, and search.
Topics covered
Text Preprocessing: Tokenization, embeddings, and normalization.
Language Models: Word2Vec, GloVe, Transformers.
Sentiment Analysis: Classify customer feedback and opinions.
Sequence Models: RNN, LSTM, GRU for sequential data.
Advanced LLMs: BERT, GPT, T5, LLaMA applications.
Conversational AI: Build chatbots and assistants.
RAG (Retrieval-Augmented Generation): Build smarter AI-powered search systems.
Skills acquired
Text Preprocessing
Word Embeddings
Sentiment Analysis
Sequence Models (RNN/LSTM)
Transformers
BERT / GPT / T5
Chatbot Development
RAG (AI Search)
- 7 Weeks
- 1042 Students
- 4.6 (765 ratings)
Step into the world of neural networks and deep learning. Learn how GenAI expands applications into multimodal AI — text, images, vision, and beyond.
Topics covered
Neural Networks: Layers, activation functions, and backpropagation.
CNNs & RNNs: Vision and sequential learning models.
Transformers: Modern architectures for NLP & vision.
Computer Vision: Object detection (YOLO) & recognition.
Generative AI for Vision: Text-to-image and multimodal applications.
Reinforcement Learning: AI agents & environment interactions.
Optimization: Regularization, dropout, Adam & advanced techniques.
Skills acquired
Neural Networks
CNNs
RNNs
Transformers
YOLO & Vision Models
Reinforcement Learning
GenAI for Vision
Optimization Techniques
- 7 Weeks
- 1042 Students
- 4.6 (765 ratings)
Move from building models to deploying real-world AI applications. Master cloud deployment, MLOps, and monitoring techniques to deliver scalable solutions.
Topics covered
Web Deployment: Build ML apps with Flask, Streamlit, Gradio.
Cloud AI: Deploy using AWS SageMaker, EC2, GCP AI.
APIs & HuggingFace: Integrate advanced AI into products.
MLOps & CI/CD: Automate pipelines with version control.
Scaling Models: Handle real-time data and enterprise workloads.
Containerization: Use Docker & Kubernetes.
Monitoring: Model drift, retraining, and lifecycle updates.
Skills acquired
Flask / Streamlit / Gradio
AWS SageMaker
Google AI Platform
HuggingFace APIs
MLOps
Docker & Kubernetes
Model Monitoring
CI/CD Pipelines
- 7 Weeks
- 1042 Students
- 4.6 (765 ratings)
Apply everything you’ve learned in real-world projects. This career-focused bootcamp prepares you for interviews, portfolios, and direct hiring opportunities.
Topics covered
Group Capstones: Solve industry-aligned challenges in teams.
Internship Simulations: Hands-on projects with Sabak Harbor’s Consulting Club.
Career Prep: Resume building, LinkedIn branding, mock interviews.
Portfolio Showcase: GitHub, BI dashboards, AI projects.
Domain Projects: Healthcare, finance, retail, and marketing.
Hackathons: AI case competitions & industry events.
Mentorship: 1:1 guidance from senior AI professionals.
Skills acquired
Collaboration
Internship Simulation
Resume Building
LinkedIn Optimization
Portfolio Showcase
Domain-Specific Projects
Hackathon Participation
Interview 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 cutting-edge GenAI projects for real business impact
Combine Data Science, Analytics, and Generative AI to solve modern business problems using LLMs, prompt engineering, and intelligent automation.
30+
AI & GenAI 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 Post Graduate Certification Program in Data Science and Analytics with GenAI, 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 Post Graduate Certification Program in Data Science and Analytics with GenAI?
Apply Online
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