Description
Course Name: Advanced Diploma in Data Science & Artificial Intelligence
Course Id: ADDSAI/Q1001.
Eligibility: Higher Secondary(10+2) or Equivalent.
Objective: This course is ideal for anyone looking to enter or advance in the rapidly growing fields of data science and artificial intelligence, where demand for skilled professionals is high.
Duration: Six Months.
How to Enroll and Get Certified in Your Chosen Course:
Step 1: Choose the course you wish to get certified in.
Step 2: Click on the “Enroll Now” button.
Step 3: Proceed with the enrollment process.
Step 4: Enter your billing details and continue to course fee payment.
Step 5: You will be redirected to the payment gateway. Pay the course and exam fee using one of the following methods:
Debit/Credit Card, Wallet, Paytm, Net Banking, UPI, or Google Pay.
Step 6: After successful payment, you will receive your study material login ID and password via email within 48 hours of fee payment.
Step 7: Once you complete the course, take the online examination.
Step 8: Upon passing the examination, you will receive:
• A soft copy (scanned) of your certificate via email within 7 days of examination.
• A hard copy (original with official seal and signature) sent to your address within 45 day of declaration of result.
Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
Online Examination Detail:
- Duration- 120 minutes.
- No. of Questions- 60. (Multiple Choice Questions).
- 10 Questions from each module, each carry 10 marks.
- Maximum Marks- 600, Passing Marks- 40%.
- There is no negative marking in this module.
| How Students will be Graded: | ||
| S.No. | Marks | Grade |
| 1 | 91-100 | O (Outstanding) |
| 2 | 81-90 | A+ (Excellent) |
| 3 | 71-80 | A (Very Good) |
| 4 | 61-70 | B (Good) |
| 5 | 51-60 | C (Average) |
| 6 | 41-50 | P (Pass) |
| 7 | 0-40 | F (Fail) |
Key Benefits of Certification- Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
Practical, Job-Ready Skills – Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands — helping you become employment-ready from day one.
Lifetime Validity – Your certification is valid for a lifetime — no renewals or expirations. It serves as a permanent proof of your skills and training.
Lifetime Certificate Verification – Employers and institutions can verify your certification anytime through a secure and reliable verification system — adding credibility to your qualifications.
Industry-Aligned Certification –All certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
Preferred by Employers – Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
Free Job Assistance Based on Your Career Interests – Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
Syllabus:
Foundations of Data Science & AI: Introduction to Data Science & AI, Python for Data Science, Data Types and Data Structures, Exploratory Data Analysis (EDA), Probability Theory & Statistical Inference, Linear Algebra for Machine Learning, Calculus Essentials for AI, Data Wrangling with Pandas & NumPy, Data Visualization (Matplotlib, Seaborn)
Machine Learning: Supervised Learning: Regression Techniques, Supervised Learning: Classification Algorithms, Model Evaluation and Cross-validation, Feature Engineering & Feature Selection, Unsupervised Learning: Clustering (K-Means, Hierarchical), Dimensionality Reduction (PCA, t-SNE), Ensemble Methods (Random Forest, Gradient Boosting), Introduction to Reinforcement Learning, Model Tuning & Hyperparameter Optimization, Machine Learning with Scikit-learn.
Deep Learning and Neural Networks: Introduction to Neural Networks, Activation Functions and Backpropagation, Deep Feedforward Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) & LSTM, Transfer Learning & Pretrained Models, Autoencoders and Generative Models, Using TensorFlow and Kera’s, Deep Learning with Porch, Model Deployment (Flask/Fast API Basics)
Data Engineering and Big Data: Introduction to Data Engineering, Relational Databases & SQL, NoSQL Databases (MongoDB, Cassandra), Data Warehousing (Snowflake, Big Query), ETL Processes & Data Pipelines, Introduction to Apache Hadoop, Apache Spark for Big Data Analytics, Real-time Processing with Kafka, Cloud Platforms (AWS, Azure, GCP Basics), Data Lake vs Data Warehouse Architecture.
Module 5: AI Applications and Capstone Project: Natural Language Processing (NLP) Fundamentals, Computer Vision Techniques, AI in Healthcare, AI in Finance and FinTech, AI in Retail and E-commerce, Chatbots and Conversational AI, AI in IoT and Smart Devices, Responsible AI and Explainability (XAI), Resume, GitHub Portfolio, and Interview Prep, Capstone Project (End-to-End ML/AI Pipeline).
Advanced Artificial Intelligence: Knowledge Representation & Reasoning, Search Algorithms (A*, Minimax, Alpha-Beta), Constraint Satisfaction Problems (CSPs), Advanced Natural Language Processing (Transformers, BERT, GPT), Speech Recognition & Processing, Reinforcement Learning: Deep Q-Learning, Multi-Agent Systems & Game Theory, AI Planning and Decision Making, Explainable AI (XAI) & Model Interpretability, AI Governance, Privacy, and Legal Aspect.
Job Opportunities after Advanced Diploma in Data Science & Artificial Intelligence
Graduates can pursue high-demand careers in IT, finance, healthcare, e-commerce, and analytics.
Career Options
- Data Scientist – Build predictive models and analyze data
- Machine Learning / AI Engineer – Develop AI systems and algorithms
- Data Analyst / BI Analyst – Create reports, dashboards, insights
- Big Data / Data Engineer – Manage data pipelines and architecture
- NLP / Computer Vision Specialist – Work on AI-based language & image solutions
- AI Research Scientist – Develop advanced AI technologies
- AI Product Manager – Lead AI-based product development
- AI Consultant – Advise businesses on AI implementation
- Deep Learning Specialist / Robotics Engineer – Build advanced AI systems
Salary Range (India)
- Entry-Level: ₹6 – ₹12 LPA
- Mid-Level: ₹12 – ₹20 LPA
- Senior-Level: ₹20 – ₹40+ LPA
Key Sectors
IT companies, fintech, healthcare, e-commerce, startups, research organizations.
This field offers excellent growth, global opportunities, and high-paying tech careers.
