Learn. Build. Succeed.
Integrated Professional Program
With an exclusive batch size of only 20 students, participants receive customized, personalized, and focused integrated training in all three domains. In the span of five months, you will gain comprehensive knowledge in digital transformation, data engineering and data science (Incl. GenAI). Throughout this period, you will work on weekly assignments, case studies, and hands-on projects to solidify your learning. Finally, you will apply your skills in an end-to-end, industry-graded internship, culminating in a capstone project.
Next Cohart Starts
Jan, 2025
Program Duration
5 Months
Learning Format
Training & Internship
Program Features
- 5 Months
- 200+ hours of lectures
- 500+ hours of Internship training (incl. practical learning)
- 10+ industry-graded projects (End to end capstone Project)
- 3 domains: Fusion of Data Science, Data Engineering, and Digital Transformation
- Exclusive Batch: Limited to just 20 seats for personalized, integrated, focused learning and Mentorship.
- Process & Soft skills: Documentation, SDLC Life Cycle, communication, and presentation
- Interview preparation: Group Discussions, coding, case studies and Expert Mentorship
- Placement assistance through our extensive network of industry partners
SDLC, Office & Soft Skills
- SDLC Life Cycle (Software Engineering)
- Standard Development practices and methodologies
- Office tools (PPT, Word, MS Excel )
- Communication and Presentation, Email writing, Documentation
Tech Foundation (Multi-Domain)
- Figma - Prototyping and Wireframe Design
- Project Management (Jira) - Agile, Sprint, Planning, Retrospect
- VS Code (Navigation, Usage and Integration)
- Python Data Structures and Algorithms
- Flask (development, integration, APIs, deployment)
- MySQL (Relational Databases, Queries, functions, techniques)
- No-SQL(MongoDB, operations, querying, schema)
- PowerBI (Data Modeling, Visualizations, DAX Formulas)
- GIT Introduction, Repository
- DevOps and CI/CD Pipeline (Versioning, Containerization, Automation)
Digital Transformation
- System Design - Introduction, scalability, optimization
- Full Stack development foundation
- HTML, CSS, JS - Structure, Styling, Development
- Django - architecture, Routing, ORM, Templates, Views.
- Bootstrap - Responsive design, Grid system, Components, Plugins.
- Node.js - Non -blocking I/O, architecture, Modules, Express.js
- REST API Introduction
Data Engineering
- Introduction to Datawarehouse and Data Lake
- Introduction to Data Modeling (Dimensions and Facts) and Design
- Introduction to ETL Pipeline Design and development
- ETL Job Scheduling (CRON Jobs, Powershell)
- AWS - Fundamentals, Cloud Computing, ETL Mapping (Glue),
- Azure - Introduction, Cloud essentials, ETL (Azure data factory),
Data Science (AI/ML)
- Statistics - Descriptive statistics, EDA, hypothesis testing
- Python for Data Science (Analysis, Modeling, Tuning)
- Time Series - visualization, modeling, forecasting
- Machine Learning (Supervised) - Modeling, train/test, evaluation
- Machine Learning (UnSupervised -Modeling, train/test, evaluation
- Machine Learning (Hyper Tuning) - Tuning Techniques, Parameters
- Deep learning - foundation, Neural networks and applications
- NLP - Text Preprocessing, Feature Engineering, and Analysis
GenAI/LLM
- GenAI / LLM - Overview, Training and evaluating the LLMs
- Prompt Engineering - Introduction and Use Cases
- GenAI/ LLM - Open APIs Integration and Gen AI applications
Internship (with capstone Project)
- End-to-End Capstone project development that combine all the concepts of SDLC.
- Applying concepts from Digital Transformation, Data Engineering, and Data Science.
- Project Demonstration and presenting insights
- Industry experts will guide you with real-time industry scenarios.
- Interview Prep - GD, Case Studies and other Skills and Placement Assistance
