Advanced Diploma in Data Science & Artificial Intelligence

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 raining. 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 Professional Diploma in Labour Welfare The Professional Diploma in Labour Welfare equips graduates with expertise in labour laws, industrial relations, employee welfare, workplace compliance, social security regulations, and grievance management. Graduates can build careers in HR, labour compliance, industrial relations, and employee welfare across corporate, industrial, and public sector organizations. Top Roles: Labour Welfare Officer, Industrial Relations Officer, Labour Compliance Officer, HR Executive (Employee Relations), Statutory Compliance Executive, Labour Law Consultant, Employee Welfare Officer, Factory Personnel Officer, Social Security & Benefits Executive, Labour Welfare Trainer Key Skills: Labour law compliance, industrial relations, employee welfare management, grievance handling, statutory reporting, social security administration, workplace safety, training and development, dispute resolution, policy implementation Salary Range (India):Entry Level: ₹3–6 LPAMid-Level: ₹6–12 LPASenior Level: ₹12–25 LPA Scope: Opportunities exist in manufacturing, automobile, construction, mining, healthcare, logistics, IT/ITES, public sector undertakings (PSUs), labour law consultancies, and HR consulting firms. Career growth depends on experience, industry sector, and specialization in labour welfare and compliance.