๐ง Course Overview: Diploma in Artificial Intelligence and Machine Learning
In the age of smart machines, automation, and intelligent data systems, Artificial Intelligence (AI) and Machine Learning (ML) have become the backbone of innovation across industries — from healthcare and finance to agriculture and e-commerce.
The Diploma in Artificial Intelligence and Machine Learning is a 6 to 12-month intensive program that equips learners with the practical skills, foundational theories, and real-world applications of AI and ML. Whether you're a recent 12th pass-out, a tech graduate, or a working professional seeking upskilling, this course offers fast-track access to one of the most in-demand tech careers today.
๐ “AI is not the future — it’s the present. This diploma gives you the tools to build it.”
๐ง What You Will Learn
This diploma teaches students how to:
-
๐ค Understand the fundamentals of AI, ML, and data science
-
๐งฎ Work with supervised & unsupervised machine learning algorithms
-
๐ Code using Python, NumPy, Pandas, and Scikit-learn
-
๐ Analyze, clean, and interpret data using real-world datasets
-
๐ง Build AI models for prediction, classification, and automation
-
๐ป Deploy models using cloud tools like AWS, Google Colab, or Azure ML Studio
๐ Evolution and Industry Relevance
AI and ML have evolved from academic theories to real-world engines behind:
-
๐ฑ Voice Assistants like Alexa & Siri
-
๐ Recommendation Engines in Amazon, Netflix
-
๐ณ Fraud Detection in Banking & Fintech
-
๐ Self-Driving Cars & Smart Cities
-
๐งฌ Genomics & Disease Prediction in Healthcare
India’s AI market alone is expected to reach $7.8 Billion by 2025, and this course positions students to be a part of that digital revolution.
๐ Tools, Platforms & Certifications You'll Use
| Category |
Tools / Platforms |
| ๐ป Programming |
Python, Jupyter Notebook, Google Colab |
| ๐ Data Science Tools |
Pandas, NumPy, Matplotlib, Scikit-learn |
| ๐ค ML & AI Libraries |
TensorFlow, Keras, PyTorch (intro level) |
| โ๏ธ Cloud Platforms |
AWS SageMaker, Azure ML, Google Cloud AI |
| ๐งพ Certification Ready |
Microsoft AI Fundamentals, IBM AI Analyst, Google ML Crash Course |
โ
Many institutions provide certification prep modules alongside training.
๐ Real-World Projects You’ll Build
-
๐ง Predictive Model: Housing price or stock trend prediction
-
๐ฃ Sentiment Analyzer: Social media comment classification
-
๐ค Chatbot using NLP: Basic customer support bot
-
๐งฌ Disease Predictor: Using health datasets (Diabetes, COVID)
-
๐ Recommendation System: For e-commerce or media streaming
๐ผ Industry Integration & Career Outcomes
This diploma aligns with NSDC, AICTE, and NASSCOM FutureSkills standards, ensuring students are job-ready.
| ๐งฉ Sector |
Applications of AI & ML |
| ๐ฅ Healthcare |
Diagnostic AI, Drug Discovery, Patient Data |
| ๐ฐ Finance & Fintech |
Risk Modelling, Robo-Advisors, Fraud Detection |
| ๐ Retail & E-Commerce |
Personalization, Inventory Forecasting |
| ๐ Automotive |
Driver Assistance, Predictive Maintenance |
| ๐ฑ Tech Startups |
AI Apps, Chatbots, NLP Tools |
๐ก Who Should Take This Course?
This course is perfect for:
-
๐ Class 12th graduates with interest in coding or data
-
๐จ๐ป BCA/BSc/Engineering students looking to specialize
-
๐ง Working professionals looking to upskill or switch to AI roles
-
๐ผ Entrepreneurs building tech-driven businesses
๐ Career Pathways After This Diploma
| ๐ฏ Role |
Avg. Starting Salary (INR) |
| AI/ML Intern |
โน15,000 – โน25,000/month |
| Junior Data Analyst |
โน3 – โน6 LPA |
| Machine Learning Engineer |
โน4 – โน8 LPA |
| AI Software Developer |
โน5 – โน10 LPA |
| Freelance AI Specialist |
โน30,000 – โน1 Lakh+/project |
๐ With additional certifications or a degree, students can progress to AI Researcher, Data Scientist, or AI Product Manager roles.
๐ Course Structure at a Glance
| Module |
Topics Covered |
| ๐ Fundamentals of AI |
History, Types, Use Cases |
| ๐ Python for AI |
Variables, Loops, Functions, Libraries |
| ๐ Data Science & Analysis |
Data Cleaning, Visualization, Stats |
| ๐ค Machine Learning |
Regression, Classification, Clustering |
| ๐ง Deep Learning (Intro) |
Neural Networks, CNNs (Basics) |
| ๐ป Capstone Project |
Real-world application & deployment |
๐ Why Choose Diploma in Artificial Intelligence & Machine Learning?
Artificial Intelligence is no longer futuristic — it’s powering our everyday lives. From personalized shopping and chatbots to smart healthcare and self-driving cars, AI and ML are the core engines of modern innovation.
The Diploma in Artificial Intelligence & Machine Learning offers an industry-aligned, fast-track pathway into the world of intelligent systems. Whether you're a student aiming for a career in tech or a professional seeking a career pivot, this course helps you build the skills, tools, and projects that top recruiters actually look for.
๐ Key Benefits
โ
Job-Ready in Just 6–12 Months
๐ง Hands-on Learning with Real Datasets
๐ผ Aligned with IT, Finance, Health & Retail Industries
๐ Master Python, Scikit-learn, TensorFlow & AI tools
๐งช Build Projects That Go on Your Resume
๐ Prep for Certifications: Google, IBM, Microsoft AI
๐ Enter a โน7.8 Billion+ Indian AI Job Market
๐ฏ Skill Wheel – What You’ll Learn
| Domain |
Key Skills Developed |
| ๐ป Programming |
Python, NumPy, Pandas, Jupyter Notebooks |
| ๐ Data Analysis |
Data cleaning, EDA, data wrangling |
| ๐ค ML Algorithms |
Supervised/unsupervised learning, model building |
| ๐ง AI Concepts |
Neural networks, classification, deep learning basics |
| ๐ Problem Solving |
Real-world dataset exploration, project deployment |
| ๐ Cloud & Deployment |
AWS/GCP tools, Colab, Streamlit apps |
โ
These skills match roles like Data Analyst, ML Engineer, AI Developer, and AI Product Assistant.
๐ Career Growth Map (From Learner to Leader)
Step 1 – Entry
๐ Complete 12th / Graduation + Enroll in AI Diploma
Step 2 – Upskill
๐ Learn Python, ML, Data Analysis, Build Capstone Projects
Step 3 – Job-Ready
๐ผ Apply for internships, freelance roles, junior data jobs
Step 4 – Elevate
๐ Earn certifications + pursue PG/advanced degrees (MCA, M.Sc AI, PGDS)
Step 5 – Specialize
๐งช Move into NLP, Computer Vision, AI Product Management, or Research
๐งฌ Specialization Tree (for Further Upskilling)
AI/ML Diploma
โโโ Data Analytics
โโโ Natural Language Processing (NLP)
โโโ Computer Vision
โโโ Robotics & Automation
โโโ Reinforcement Learning
๐ผ Real-World Job Roles & Examples
| ๐ Job Role |
๐ก Key Skills Used |
๐ฐ Avg Starting Salary (INR) |
| ๐จ๐ป ML Engineer (Junior) |
Python, Scikit-learn, model building |
โน4 – โน8 LPA |
| ๐ Data Analyst Intern |
Excel, Python, EDA |
โน15K – โน30K/month |
| ๐ค AI Support Engineer |
Chatbots, AI APIs, Deployment Tools |
โน3.5 – โน6.5 LPA |
| ๐ง AI Research Assistant |
TensorFlow, ML experiments |
โน5 – โน8 LPA |
| ๐ผ Freelance AI Developer |
Custom ML models, small projects |
โน25K – โน1L per project |
๐ With 1–2 years of experience, students can grow into roles like Data Scientist, AI Product Analyst, or AI Consultant.
๐ง ScholarIQ’s Smart Edge
| ๐ Feature |
๐ Benefit to You |
| ๐งช AI Lab Simulator |
Build, test, and debug models in real-time |
| ๐ Skill Gap Dashboard |
Tracks your readiness for specific roles |
| ๐ฏ Project Builder |
Helps you present AI projects in your portfolio |
| ๐ง๐ผ Internship Connect |
Partnered companies and platforms for live roles |
| ๐ง AI Career Pathfinder Tool |
Helps match your strengths with AI job clusters |
๐งญ Why This Course Stands Out
-
๐ฅ Blended Learning: Theory + Hands-on Projects
-
๐ฑ Mobile-Friendly LMS – learn anywhere, anytime
-
๐ Future-Proof Skills – transferable across industries
-
๐ง๐ซ No Prior Coding Required – beginner-friendly modules
-
๐ฏ Career Launchpad – ideal for students, graduates, or working professionals
๐ Course Curriculum – Diploma in Artificial Intelligence & Machine Learning
The Diploma in AI & ML equips students with hands-on expertise in programming, data structures, machine learning, IoT, and cloud computing to prepare for real-world tech careers.
๐ Semester 1 – Foundation in Programming & Data
Students are introduced to programming, mathematics, bookkeeping, and computer fundamentals with practical exposure.
Subjects:
-
๐ฅ Management Information System – CSB-1111
-
๐ป Problem Solving Using C – CSB-1112
-
โ Mathematics-I – CSB-1113
-
๐ Financial Accounting – CSB-1114
-
๐ฃ English Communication – ENB-1101
-
๐ฑ Computer Fundamentals & Office Automation – CSB-1101
-
๐ฌ Problem Solving Using C (Lab) – CSB-1151
๐ค Semester 2 – Advanced AI, ML & Cloud Skills
Focus shifts to data structures, software engineering, IoT, cloud computing, and hands-on machine learning using Python for automation and real-world applications.
Subjects:
-
๐ System Analysis & Design – CSB-1211
-
โ C++ and Data Structure (with STL) – CSB-1212
-
๐ Software Engineering – CSB-3111
-
โ IoT & Cloud Computing – CSB-3211
-
๐ค Machine Learning Using Python – CSB-3212
-
๐งช Machine Learning Using Python (Lab) – CSB-3251
-
๐ฅ C++ and Data Structure (Lab) – CSB-1251