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 completion of Advanced Diploma in Data Science & Artificial Intelligence course:
Graduates of the Advanced Diploma in Data Science & Artificial Intelligence are equipped with skills in machine learning, data analytics, programming, deep learning, and AI technologies. These professionals are in high demand across industries such as IT, healthcare, finance, e-commerce, and more.
Career Options and Salary Range
1. Data Scientist
- Role: Analyze large datasets, build predictive models, and provide actionable insights.
- Salary: ₹8–₹12 LPA for entry-level; experienced professionals earn ₹15–₹25 LPA.
2. Machine Learning Engineer
- Role: Develop and deploy machine learning algorithms and models.
- Salary: ₹8–₹14 LPA; senior roles earn ₹18–₹30 LPA.
3. AI Engineer
- Role: Build AI-based applications, including natural language processing, computer vision, and robotics.
- Salary: ₹8–₹15 LPA; experienced engineers earn ₹20–₹35 LPA.
4. Data Analyst
- Role: Perform data analysis, visualization, and reporting to support business decisions.
- Salary: ₹4–₹8 LPA for freshers; experienced analysts earn ₹10–₹15 LPA.
5. Big Data Engineer
- Role: Manage large-scale data pipelines and build big data solutions.
- Salary: ₹8–₹16 LPA; senior engineers earn ₹20–₹30 LPA.
6. Business Intelligence Analyst
- Role: Analyze business trends, create dashboards, and provide strategic insights.
- Salary: ₹6–₹12 LPA; experienced roles earn ₹15–₹20 LPA.
7. AI Research Scientist
- Role: Conduct research on advanced AI algorithms and develop cutting-edge solutions.
- Salary: ₹10–₹20 LPA; senior researchers earn ₹25–₹40 LPA.
8. Natural Language Processing (NLP) Specialist
- Role: Work on language-based AI applications like chatbots, voice assistants, and translation systems.
- Salary: ₹8–₹15 LPA; experienced specialists earn ₹20–₹30 LPA.
9. Computer Vision Engineer
- Role: Develop image and video processing applications, including facial recognition and object detection.
- Salary: ₹8–₹15 LPA; senior roles earn ₹20–₹35 LPA.
10. AI Product Manager
- Role: Oversee AI-based product development and manage cross-functional teams.
- Salary: ₹12–₹20 LPA; experienced product managers earn ₹25–₹40 LPA.
11. Data Engineer
- Role: Build and maintain data pipelines and architecture for analytics.
- Salary: ₹6–₹12 LPA for entry-level; experienced engineers earn ₹15–₹25 LPA.
12. Deep Learning Specialist
- Role: Develop neural networks and deep learning models for complex AI solutions.
- Salary: ₹10–₹18 LPA; senior specialists earn ₹20–₹35 LPA.
13. AI Consultant
- Role: Provide strategic advice on AI integration and implementation for businesses.
- Salary: ₹12–₹20 LPA; senior consultants earn ₹25–₹40 LPA.
14. E-commerce Data Specialist
- Role: Optimize e-commerce operations using AI and data analytics.
- Salary: ₹6–₹12 LPA; experienced professionals earn ₹15–₹20 LPA.
15. Robotics Engineer
- Role: Design and develop AI-powered robotic systems for automation.
- Salary: ₹8–₹15 LPA; experienced engineers earn ₹20–₹30 LPA.
Salary Growth Overview
- Entry-level: ₹6–₹12 LPA
- Mid-level: ₹12–₹20 LPA
- Senior-level: ₹20–₹40+ LPA
Top-paying industries include IT, finance, healthcare, e-commerce, and research. High-demand roles like AI engineers, data scientists, and AI consultants offer faster career growth and competitive salaries.