PGP IN DATA SCIENCE AND ARTIFICIAL INTELLIGENCE
- 12 Months comprehensive PGP experience
- 15 modules + 6 enterprise projects
- Mastery of advanced AI/ML technologies
- End-to-end career transformation support
- Live sessions by enterprise practitioners
- Strategic portfolio for leadership roles
- Guaranteed placement assistance
- Earn PGP certification without career break
PGP in Data Science and AI
Learn how to analyze and interpret data correctly.
An innovative program to explore the universe of Data
Focusing on the relevance of an academic foundation in building a strong career path, Octa Learning crafted this innovative program with a practical research-based approach to inculcate a deep understanding of data science and AI and their applications in our rapidly changing technological ecosystem and the world at large. The program is aimed at providing theoretical capabilities along with strong practical potential applicable to business as well as society. The graduating students of PGP in Data Science and AI from Octa Learning will be competent trendsetters in the market with cutting-edge skills and knowledge. They will be well-equipped for a variety of job roles aligning with their interest and expertise. Become Data Scientists, AI Researchers, Industrial and Societal Entrepreneurs.
Regular Program
12 MonthsComprehensive PGP curriculum with 12 modules + 6 advanced projects
Specialization
3 MonthsAdvanced AI/ML, NLP, and industry specialization tracks
Placement Activity
6 MonthsComplete career preparation and hiring acceleration
PGP Curriculum
15 modules + 6 enterprise projects for complete mastery.
Core + Advanced Modules
12-month comprehensive foundation + advanced modules.
Introduces Python programming language focusing on data science applications. Covers data structures, control flow, functions, OOP, and libraries like NumPy, Pandas, Matplotlib.
Explores supervised and unsupervised learning algorithms. Covers regression, classification, clustering, model evaluation, feature engineering using Scikit-learn and TensorFlow.
Develop advanced querying and database design skills using SQL on MySQL, PostgreSQL, and SQL Server. Learn joins, subqueries, stored procedures, and optimization.
Focuses on Power BI for advanced visualization and analytics. Learn DAX functions, data modeling, Power Query ETL, storytelling dashboards.
Covers advanced Tableau dashboards, blending multiple data sources, mapping, parameter controls, and performance tuning.
Introduces AI-driven analytics using NLP, AutoML, and intelligent data discovery tools. Learn prompt engineering and AI-assisted coding.
Introduces neural networks and deep learning architectures for handling complex data such as images, text, and time-series. Covers CNNs, RNNs/LSTMs with TensorFlow/PyTorch.
Covers text preprocessing, tokenization, embeddings, sequence models, and transformer-based architectures. Hands-on projects like sentiment analysis.
Focuses on architectures, prompt engineering, retrieval-augmented generation, and fine-tuning strategies with responsible AI practices.
Learn production ML workflows, Docker, Kubernetes, CI/CD pipelines, model monitoring, and A/B testing for scalable deployments.
Master Spark, Hadoop, Kafka for distributed data processing, real-time analytics, and large-scale data engineering pipelines.
Bayesian methods, causal inference, A/B testing frameworks, statistical power analysis, and experimental design for data-driven decisions.
Applied Learning Projects
6 enterprise-grade capstone projects for portfolio.
Deep Learning Mini-Project
Build and train CNN/RNN models for image/text classification with hyperparameter optimization.
NLP Application Project
Develop sentiment analysis or chatbot using transformers and advanced NLP techniques.
LLM Utilization Project
Fine-tune and deploy large language models for domain-specific applications.
Integrated Data Science Capstone
End-to-end ML pipeline from data ingestion to production deployment.
Predictive Analytics Project
Time-series forecasting and predictive modeling for business applications.
Data Visualization Dashboard
Interactive executive dashboard integrating multiple data sources.
The Data Science Landscape
PGP designed for leadership career transformation in data science and AI.
650%
Data Science sector growth far outpacing others.
61%
Open roles for 0-5 years experience candidates.
2.7M
Global data science job postings by 2025.
39%
Data Science market CAGR to $195B.
Alumni Highlights
200+
Global Companies
$122K PA
Average CTC
$250K PA
Highest CTC
87%
Average Salary Hike
Benefits
Learn from leading academicians and several experienced industry practitioners from top organizations.
Personalised workshops based on your proficiency level to help you get on par.
Mix of Live Classes & Recorded lectures for your convenience.
24×7 Student Support, Quick doubt resolution by industry experts.
PGP Highlights
Leadership benefits from the comprehensive PGP program.
Immersive Program
- 12-month comprehensive PGP
- Live expert sessions
- Hands-on enterprise labs
Strategic Partnerships
- University collaborations
- Enterprise exposure
- Global alumni network
Executive Support
- 1:1 career mentoring
- Technical guidance
- Leadership preparation
Leadership Ready
- Enterprise projects
- Senior role preparation
- Executive placement
Capstone Projects
Test your skills and mettle with a capstone project.
Election Outcome Prediction
Analyze historical election data to predict election outcomes and understand factors influencing voter behavior.
E-commerce
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Web & Social Media
Techniques used: Topic Modeling using Latent Dirichlet Allocation, K-Means & Hierarchical Clustering
Banking
Techniques used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Random Forest, CART
Supply Chain
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Healthcare
Techniques used: Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM
Retail
Techniques used: Market Basket Analysis, Brand Loyalty Analysis
Insurance
Techniques used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysis
Our Learners Work At
Leading companies that value data skills.
