Best Education Provider in
Data Science Program
Post Graduate Certification Program in Data Science and Artificial Intelligence
With a job-assured pathway, mentorship from industry leaders, and project-based learning, this program is your launchpad to a high-growth career in Data Science and AI
In association with
9 Months Program
Weekend Online Interactive Learning
10,000+ Career Transitions
35+ Tools & Projects
1:1 Industry Mentorship
Hands-on Capstone Projects
800+ Hiring Partners
Placement Assistance
Companies Hiring
00 +
Students Placed
00 +
Highest Package
00 LPA
Industry Experts
00 +
Highest Salary Hike
00 %
Alumni Network
Placement Stories
Avinash Singh
Chitra Singh
Bhavana Gusain
Dolly Monga
Sakshi Sharma
Karishma Solanki
Aman Kumar Singh
Tarun Negi
Payal Chaturvedi
Deepanshu Tomar
Get offers from 800+ top companies
About the Program
Sabak Harbor’s Post Graduate Certification Program in Data Science and AI is designed to transform ambitious learners into industry-ready professionals. We bridge the skills gap in data and AI by combining practical training, real-world projects, and expert mentorship into one comprehensive program. Built for fresh graduates and early-career professionals (0–3 years of experience), this program empowers you with analytical thinking, problem-solving, and technical expertise to thrive in data-driven roles.
You’ll gain hands-on experience with 35+ industry tools and projects, including Generative AI applications such as ChatGPT, Copilot, and Gemini, along with advanced technologies like Retrieval-Augmented Generation (RAG) to accelerate coding, debugging, and automated reporting.
06+
Years experience7k+
Students each year24+
Award Wining
Key Highlights
Experience an all-new 2025 curriculum
- 6 Weeks
- 1097 Students
- 4.5 (875 ratings)
Start your journey with the core skills every data professional needs. Build a strong foundation in Excel, SQL, and Python while learning how to communicate insights through data storytelling.
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,
error handling, and automation.
Data Storytelling: Techniques to transform data into
meaningful narratives.
Mini Project: MegaMart Sales Dashboard with
GPT-assisted automation.
Version Control (Git/GitHub): Manage and collaborate on
projects effectively.
Data Cleaning with Pandas: Handle missing values,
duplicates, and outliers.
Skills acquired
Excel
Pivot Tables
SQL
Python
Data Storytelling
Git & GitHub
Pandas
Data Cleaning
- 5 Weeks
- 1097 Students
- 4.5 (875 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
Introduction to AI & GenAI: Concepts, types, and industry
use cases.
Prompt Engineering: Craft effective prompts for
automation and analytics.
Case Studies: Explore AI-driven decisions reshaping
business strategies.
AI Tools Hands-On: ChatGPT, Copilot, Gemini, and Claude
for productivity.
Generative Media: Image, video, and text generation
using AI platforms.
AI Ethics & Governance: Responsible usage, bias detection,
and compliance.
Practical Automation: Build task automation flows
with AI assistants.
Skills acquired
AI Fundamentals
Generative AI Tools
Prompt Engineering
Automation with AI
Case Study Analysis
Claude
Copilot
Gemini
- 6 Weeks
- 1097 Students
- 4.5 (875 ratings)
Develop statistical thinking to analyze, interpret, and validate data. This module equips you with the mathematical tools needed for advanced analytics and ML.
Topics covered
Descriptive & Inferential Statistics: Mean, variance, and
confidence intervals.
Probability & Distributions: Normal, binomial, and Poisson models.
Hypothesis Testing: ANOVA, Chi-Square, t-tests, and
p-value interpretation.
Correlation & Regression Basics: Identify and validate relationships
in data.
Resampling & Bootstrapping: Strengthen statistical reliability.
Bayesian Statistics: Conditional probability and applications in AI.
AI-Assisted Reporting: Automate statistical analysis with AI tools.
Skills acquired
Descriptive Statistics
Inferential Statistics
Probability Models
Hypothesis Testing
ANOVA
Chi-Square
Bayesian Analysis
AI-Driven Reporting
- 7 Weeks
- 1097 Students
- 4.5 (875 ratings)
Dive deep into machine learning algorithms and build predictive, prescriptive, and clustering models to solve complex business problems.
Topics covered
Supervised Learning: Regression, classification, decision trees,
and forests.
Unsupervised Learning: Clustering, PCA, and customer segmentation.
Time Series Analysis: Forecast demand, sales, and financial trends.
Model Evaluation & Tuning: ROC-AUC, confusion matrix, grid search.
Feature Engineering: Encoding, scaling, transformations, and selection.
Ensemble Models: Bagging, boosting, XGBoost, and stacking.
AutoML & GenAI: Use AI-assisted platforms for rapid model building.
Skills acquired
Regression
Classification
Decision Trees
Random Forests
Clustering
PCA
Time Series Forecasting
AutoML
- 5 Weeks
- 1097 Students
- 4.5 (875 ratings)
Master the art of presenting insights with dashboards and visual storytelling. Learn to design interactive reports that decision-makers rely on.
Topics covered
Tableau & Power BI: Build KPI dashboards, charts,
and business reports.
DAX & Calculations: Perform advanced analytics inside BI tools.
Interactive Reports: Drill-downs, live updates, and
real-time dashboards.
AI-Powered Insights: Copilot & natural language queries
for instant results.
Storyboarding Data: Designing dashboards for
executive storytelling.
Visual Design Principles: Color theory, chart selection, and UX.
Case Study Project: Build an end-to-end BI dashboard
for a real dataset.
Skills acquired
Tableau
Power BI
Data Visualization
DAX
Interactive Dashboards
Copilot for BI
Data Storyboarding
Visualization Design
- 5 Weeks
- 1097 Students
- 4.5 (875 ratings)
Master NLP techniques to process, analyze, and generate human language using modern AI architectures.
Topics covered
Text Preprocessing: Tokenization, stemming, lemmatization,
and embeddings.
Language Models: Word2Vec, GloVe, and transformer
based representations.
Sentiment Analysis: Classify opinions, emotions, and
reviews from text.
Sequence Models: RNN, LSTM, GRU for sequential text data.
Advanced Transformers: BERT, GPT, T5, and LLaMA applications.
Chatbots & Virtual Assistants: Build conversational AI systems.
LLM Fine-Tuning: Customize models for domain-specific
NLP tasks.
AI-Powered Search: Semantic search & retrieval
augmented generation.
Skills acquired
Neural Networks
CNN
RNN
Transformers
BERT
YOLO
Reinforcement Learning
Deep Learning Optimization
- 6 Weeks
- 1097 Students
- 4.5 (875 ratings)
Step into the world of deep learning and advanced AI applications that power cutting-edge technologies like NLP and computer vision.
Topics covered
Neural Networks: Layers, activation functions,
and backpropagation.
CNNs & RNNs: Apply deep learning to images
and sequences.
Transformers & BERT: Work with state-of-the-art
NLP foundations.
YOLO & Vision Models: Build object detection & computer
vision apps.
Reinforcement Learning Basics: Understand agent environment interactions.
Generative AI for Vision: Leverage LLMs for multimodal applications.
Optimization Techniques: Adam, RMSProp, dropout, and regularization.
Skills acquired
Text Preprocessing
Word2Vec
GloVe
Sentiment Analysis
LSTM
GRU
Chatbot Development
LLM Fine-Tuning
- 5 Weeks
- 1097 Students
- 4.5 (875 ratings)
Move beyond building models—learn to deploy AI solutions in real-world environments for scalability and accessibility.
Topics covered
Web Deployment: Flask, Streamlit, and Gradio for ML apps.
Cloud Platforms: AWS SageMaker, EC2, and GCP AI Platform.
HuggingFace & APIs: Integrate advanced AI frameworks
into products.
MLOps & CI/CD: Automate deployment pipelines and versioning.
Scaling Models: Handle real-time data and
production loads.
Containerization: Use Docker & Kubernetes for deployments.
Monitoring & Maintenance: Detect drift,retrain, and update models.
Skills acquired
Flask
Streamlit
Gradio
AWS SageMaker
MLOps
Docker
Kubernetes
Model Monitoring
- 4 Weeks
- 1097 Students
- 4.5 (875 ratings)
Put everything into practice through real-world capstone projects and career preparation. This final stage ensures you are interview-ready and job-ready.
Topics covered
Group Projects: Collaborate on industry-aligned challenges.
Internship Experience: Apply skills with Sabak Harbor’s
Consulting Club.
Career Launchpad: Resume workshops, LinkedIn optimization,
mock interviews.
Portfolio Showcase: Build a strong GitHub & BI portfolio.
Domain-Specific Projects: Healthcare, fintech, retail,
and marketing.
Hackathons & Case Competitions: Compete and build real-world solutions.
Job Readiness Training: Soft skills, communication, and case
interview prep.
Industry Mentorship: 1:1 career guidance from senior
data scientists.
Skills acquired
Collaboration
Internship Experience
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
-f81299ac8bdf4f4387c92d4512ed8764.svg)
PyTorch
-88860c032f1542a1b2323bf8b017f1ea.svg)
Keras
OpenAI
GPT
LlamaIndex
Claude
CrewAI
LangGraph
Autogen
Power BI
-ef1ea202d5fd462585bf9ef4c4f173ff.svg)
Tableau
-b1137d978be34f31ba052a0085a80766.svg)
MongoDB
Docker
-5c145efea88d4038852091a94eb59897.svg)
Kubernetes
Streamlit
-0cbc01125c424d819a8b74d9443e0f2f.svg)
Airflow
MLFlow
Kafka
Master real-world Data Science & AI projects to accelerate your career
Work on solving real industry challenges from global brands and apply Data Science & AI skills to business-critical problems.
25+
Domain-specific projects
Customer Sentiment Analysis
Use NLP techniques to analyze Amazon customer reviews and uncover hidden sentiment trends. Identify common themes in customer feedback to improve product recommendations. Automate the summarization of reviews using advanced GenAI models for faster insights. Build real-time sentiment dashboards to help businesses track brand reputation. Develop scalable pipelines to process millions of unstructured text records efficiently. Apply clustering techniques to group similar reviews and detect new product issues. Leverage topic modeling to extract actionable insights from customer narratives. Deliver end-to-end reports highlighting satisfaction levels and key improvement areas. Know More
Skills Learned
NLP
Text Analytics
Prompt Engineering
Data Visualization
Predictive Sales Forecasting
Build ML models to forecast product demand across multiple retail stores globally. Optimize inventory management by predicting seasonal fluctuations in sales. Reduce losses from stockouts and overstock with accurate demand forecasts. Integrate external variables such as holidays, promotions, and economic factors. Apply ARIMA and advanced time-series algorithms to historical data. Use regression techniques to model linear and nonlinear sales patterns. Build visualization dashboards for supply chain managers to track demand shifts. Deploy forecasting pipelines that update dynamically as new data streams arrive. Know More
Skills Learned
Time-Series
Regression
Feature Engineering
Forecasting Models
AI-powered Healthcare Diagnostics
Train CNN-based models on X-ray and MRI datasets to detect diseases. Assist doctors with early diagnosis through AI-powered medical image analysis. Reduce diagnostic errors by comparing AI predictions with medical benchmarks. Enhance clinical workflows by providing AI-based second opinions. Build pipelines that preprocess raw medical images for training. Apply transfer learning to improve accuracy with limited labeled data. Integrate explainable AI techniques to ensure model transparency. Deploy diagnostic tools for hospitals with secure cloud-based integration. Know More
Skills Learned
Deep Learning
CNNs
Medical Imaging
Model Deployment
Financial Fraud Detection
Design fraud detection systems to monitor real-time credit card transactions. Apply anomaly detection to identify unusual spending patterns instantly. Minimize false positives while maintaining high fraud detection accuracy. Create supervised models trained on past fraudulent and genuine transactions. Use unsupervised methods to flag unknown fraud techniques. Implement clustering to group transaction behaviors across customer segments. Build streaming pipelines to process millions of records per second. Generate fraud reports for risk management and compliance teams. Know More
Skills Learned
Anomaly Detection
Classification
Clustering
Streaming Data
Recommendation Systems
Build a personalized recommendation engine for movies, e-commerce, or music. Apply collaborative filtering to predict what users will enjoy next. Incorporate content-based approaches to recommend items based on attributes. Improve personalization with hybrid recommender system techniques. Leverage neural collaborative filtering for deep user-item relationships. Train on implicit feedback such as clicks and watch history for accuracy. Build dashboards to visualize recommendation patterns and results. Deploy scalable systems capable of handling millions of users in production. Know More
Skills Learned
Recommender Systems
Collaborative Filtering
Neural Networks
Hybrid Models
Autonomous Vehicles
Train AI systems to detect lanes, traffic signs, and pedestrians in video streams. Apply reinforcement learning to teach cars how to make navigation decisions. Integrate sensor fusion from lidar, radar, and cameras for higher accuracy. Simulate driving environments to test models before real-world deployment. Develop CNNs to recognize objects in challenging weather conditions. Use path-planning algorithms for safe driving on highways and city roads. Build real-time inference systems with low-latency processing. Integrate safety checks and failover mechanisms for autonomous control. Know More
Skills Learned
Computer Vision
Reinforcement Learning
Sensor Fusion
Path Planning
Chatbot Development
Create AI-powered chatbots to handle customer service queries efficiently. Train NLP models to understand intent and respond with context. Build conversational flows that mimic human-like interactions. Enable multi-turn dialogues for complex customer conversations. Integrate chatbots with APIs for live data retrieval and transactions. Add emotion detection to make responses more empathetic. Use reinforcement learning to continuously improve chatbot accuracy. Deploy chatbots on websites, apps, and messaging platforms at scale. Know More
Skills Learned
NLP
Conversational AI
Dialog Flow
API Integration
AI in Cybersecurity
Build AI systems to detect phishing attempts and malicious websites. Train models to classify emails and files as safe or suspicious. Deploy anomaly detection pipelines to uncover hidden attacks. Integrate real-time monitoring for enterprise-scale security. Apply clustering to detect emerging, unknown cyber threats. Use NLP to analyze malicious scripts and phishing content. Build dashboards for security teams to track system vulnerabilities. Automate response actions for flagged high-risk events in real-time. Know More
Skills Learned
Cybersecurity Analytics
Anomaly Detection
ML Classification
Threat Monitoring
Smart Agriculture Analytics
Use IoT and AI to monitor crops and predict yields in real time. Apply ML models to detect plant diseases from image datasets. Optimize irrigation schedules based on weather and soil data. Support farmers with predictive insights for higher profitability. Integrate sensor data from smart devices into central analytics systems. Build mobile dashboards for farmers to track crop health. Apply classification models to identify disease categories. Design sustainable farming solutions powered by AI-driven recommendations. Know More
Skills Learned
IoT Data Analysis
Predictive Modeling
Image Classification
Sustainability AI
AI in Climate & Sustainability
Develop models to monitor air quality and predict pollution levels. Use AI to track climate data for urban planning and sustainability. Provide decision support to policymakers with predictive simulations. Apply machine learning to identify eco-friendly energy alternatives. Integrate satellite and IoT data for large-scale environmental monitoring. Use deep learning to predict extreme weather events and disasters. Build dashboards to communicate insights with non-technical stakeholders. Deliver AI-powered reports that drive corporate ESG compliance strategies. Know More
Skills Learned
Environmental Analytics
Predictive Modeling
Big Data Processing
AI for ESG
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
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 Post Graduate Certification Program in Data Science and Artificial Intelligence, 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 PG Certification Program in Data Science & AI?
Apply Online
Assessment
Quick Screening
Pay Fee
Join the Program
Need Help? Our admission team is happy to assist you.
Fee Structure
Program Fee
Book Your Course
Program Token Fee
Frequently Asked Questions
Your first step to find your dream technical job.
