Advance Certification in Data Science & Artificial Intelligence | Data Science & AI - Advance
Course Overview – Advance Certification in Data Science & Artificial Intelligence
The Advance Certification in Data Science & Artificial Intelligence is a comprehensive 6-month industry-integrated certification program designed to prepare learners for modern AI, Machine Learning, and Data Science careers through practical implementation, real-world projects, and industry-focused training.
This program follows a structured “Learn → Build → Deploy → Get Hired” approach where learners first develop strong technical foundations and then transition into advanced AI workflows, project execution, deployment practices, and placement readiness.
Backed by Kalinga University, this certification program emphasizes practical industry skills, portfolio development, teamwork, and professional execution standards.
What Is This Program All About?
This certification program combines Python programming, Data Analytics, Machine Learning, Deep Learning, NLP, Generative AI, cloud concepts, deployment workflows, and real-world capstone projects into one integrated learning experience.
You’ll learn to:
- Master Python for AI & Data Science applications
- Perform advanced data analysis and visualization
- Build Machine Learning and Deep Learning models
- Develop NLP and Generative AI solutions
- Work with Agile/Scrum-based project workflows
- Create GitHub-ready portfolio projects
- Prepare for technical interviews and placements
- Deploy real-world AI-powered applications
Tools & Technologies Covered
| Category | Technologies |
|---|---|
| Programming | Python |
| Data Analytics | Pandas, NumPy |
| Visualization | Power BI, Tableau |
| Machine Learning | Scikit-learn |
| Deep Learning | TensorFlow, Keras |
| NLP & Generative AI | Transformers, Prompt Engineering |
| Database | SQL, PostgreSQL |
| Deployment | FastAPI, Docker, Cloud Basics |
| Collaboration | Git & GitHub |
Career Outcomes
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- BI Analyst
- AI Support Associate
- Data Visualization Specialist
Why Choose Advance Certification in Data Science & Artificial Intelligence?
Artificial Intelligence and Data Science are transforming industries worldwide. Organizations across fintech, healthcare, SaaS, consulting, retail, and enterprise technology are actively hiring skilled professionals who can analyze data, build AI systems, and automate intelligent workflows.
This 6-month industry-integrated certification program focuses on practical implementation, live projects, deployment workflows, interview preparation, and professional portfolio building to make learners industry-ready.
Placement Assistance & Career Support
- Dedicated technical interview preparation
- Mock HR & coding interviews
- GitHub portfolio optimization
- Resume & LinkedIn profile building
- Industry project presentation training
- Placement readiness sessions
- Job referral assistance where applicable
India-Focused Salary Insights
| Experience Level | Role Example | Average Salary (INR) |
|---|---|---|
| Fresher (0–1 Year) | Junior Data Analyst / AI Associate | ₹5 – 10 LPA |
| 1–3 Years | Machine Learning Engineer | ₹10 – 18 LPA |
| 3–5 Years | Data Scientist / AI Engineer | ₹18 – 30 LPA |
| 5+ Years | AI Architect / Lead Data Scientist | ₹30 – 60+ LPA |
Program Curriculum – Advance Certification in Data Science & Artificial Intelligence
Month 1 – Python & Data Foundations
- Introduction to Data Science & Artificial Intelligence
- Python Programming Fundamentals
- NumPy & Pandas
- Data Cleaning & Processing
- SQL Fundamentals
- Data Visualization Basics
- Working with CSV, Excel & JSON datasets
- Mini Project: Retail Sales Analytics Dashboard
Month 2 – Data Analytics & Machine Learning
- Statistics Fundamentals
- Exploratory Data Analysis
- Power BI / Tableau
- Machine Learning Fundamentals
- Regression & Classification
- Clustering Techniques
- Model Evaluation Metrics
- Mini Project: Customer Churn Prediction System
Month 3 – Deep Learning & Generative AI
- Deep Learning Fundamentals
- Neural Networks
- TensorFlow & Keras
- NLP Basics
- Sentiment Analysis
- Prompt Engineering
- Generative AI Workflows
- AI Automation Concepts
- Mini Project: AI Resume Screening System
Month 4 – Real-Time Industry Projects
- Agile/Scrum workflow simulation
- GitHub collaboration & project management
- Mentor reviews & technical documentation
- Banking Analytics Dashboard
- Healthcare Prediction System
- AI Chatbot Development
- E-commerce Recommendation Engine
Month 5 – Interview Preparation & Career Readiness
- Python Interview Preparation
- SQL Interview Questions
- Machine Learning Case Studies
- Mock Technical Interviews
- Resume Building Sessions
- LinkedIn Optimization
- Coding Assessments
- Communication & Confidence Building
Month 6 – Capstone & Industry Exposure
- Client-style project execution
- Deployment workflows & cloud basics
- Production-ready AI application development
- Capstone AI Project
- Dashboard + AI/ML integration
- Documentation & Final Presentation
- Technical Assessment & Viva
Frequently Asked Questions
This program is ideal for graduates, working professionals, career switchers, BCA/MCA/B.Tech students, and anyone interested in AI, Machine Learning, and Data Science careers.
This program focuses heavily on practical execution, live industry projects, internship-style workflows, interview preparation, and placement readiness instead of only theoretical learning.
You will learn Python, SQL, Power BI, Tableau, Scikit-learn, TensorFlow, Keras, NLP, Generative AI, FastAPI, Docker, GitHub, and cloud basics using AWS/Azure.
Yes. Students work on industry-style projects such as Banking Analytics Dashboards, AI Chatbots, Recommendation Systems, Healthcare Prediction Systems, and AI Recruitment platforms.
Yes. The program includes dedicated interview preparation, mock interviews, resume building, LinkedIn optimization, GitHub portfolio review, and job referral assistance where applicable.
You can apply for roles such as Data Analyst, Data Scientist, AI Engineer, Machine Learning Engineer, BI Analyst, AI Support Associate, and Data Visualization Specialist.
Freshers in Data Science and AI roles in India typically earn between ₹5 LPA to ₹10 LPA depending on technical proficiency, projects, and company type.
With 1–3 years of experience, professionals can earn ₹10–18 LPA. Mid-level Data Scientists (3–5 years) may earn ₹18–30 LPA, while senior AI architects and lead data scientists (5+ years) can earn ₹30–60+ LPA.
Yes. The program includes Agile/Scrum workflows, GitHub collaboration, task allocation systems, sprint planning, deployment workflows, and production-style project execution.
Yes. The Advance Certification program is academically backed by Kalinga University.
Contact for eligibility details
Need help? Our counselors are ready
+91 94038 92667