Diploma in Artificial Intelligence and Machine Learning | Diploma in AI & Machine Learning

AI for Business Intelligence | AI with Python | Computer Vision | Deep Learning | Machine Learning | Natural Language Processing (NLP)

Level Diploma
Type Online
Category Computer Applications
Duration 1 Years
Course Overview


๐Ÿง  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.

๐Ÿ” “AI is not the future — it’s the present. This diploma gives you the tools to build it.”


๐Ÿง  What You Will Learn

This diploma teaches students how to:

  • ๐Ÿค– Understand the fundamentals of AI, ML, and data science

  • ๐Ÿงฎ Work with supervised & unsupervised machine learning algorithms

  • ๐Ÿ Code using Python, NumPy, Pandas, and Scikit-learn

  • ๐Ÿ“Š Analyze, clean, and interpret data using real-world datasets

  • ๐Ÿง  Build AI models for prediction, classification, and automation

  • ๐Ÿ’ป Deploy models using cloud tools like AWS, Google Colab, or Azure ML Studio


๐Ÿ“ˆ Evolution and Industry Relevance

AI and ML have evolved from academic theories to real-world engines behind:

  • ๐Ÿ“ฑ Voice Assistants like Alexa & Siri

  • ๐Ÿ› Recommendation Engines in Amazon, Netflix

  • ๐Ÿ’ณ Fraud Detection in Banking & Fintech

  • ๐Ÿš— Self-Driving Cars & Smart Cities

  • ๐Ÿงฌ 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.


๐ŸŒ Tools, Platforms & Certifications You'll Use

Category Tools / Platforms
๐Ÿ’ป Programming Python, Jupyter Notebook, Google Colab
๐Ÿ“Š Data Science Tools Pandas, NumPy, Matplotlib, Scikit-learn
๐Ÿค– ML & AI Libraries TensorFlow, Keras, PyTorch (intro level)
โ˜๏ธ Cloud Platforms AWS SageMaker, Azure ML, Google Cloud AI
๐Ÿงพ Certification Ready Microsoft AI Fundamentals, IBM AI Analyst, Google ML Crash Course

โœ… Many institutions provide certification prep modules alongside training.


๐Ÿ“š Real-World Projects You’ll Build

  • ๐Ÿง  Predictive Model: Housing price or stock trend prediction

  • ๐Ÿ—ฃ Sentiment Analyzer: Social media comment classification

  • ๐Ÿค– Chatbot using NLP: Basic customer support bot

  • ๐Ÿงฌ Disease Predictor: Using health datasets (Diabetes, COVID)

  • ๐Ÿ›’ Recommendation System: For e-commerce or media streaming


๐Ÿ’ผ Industry Integration & Career Outcomes

This diploma aligns with NSDC, AICTE, and NASSCOM FutureSkills standards, ensuring students are job-ready.

๐Ÿงฉ Sector Applications of AI & ML
๐Ÿฅ Healthcare Diagnostic AI, Drug Discovery, Patient Data
๐Ÿ’ฐ Finance & Fintech Risk Modelling, Robo-Advisors, Fraud Detection
๐Ÿ› Retail & E-Commerce Personalization, Inventory Forecasting
๐Ÿš— Automotive Driver Assistance, Predictive Maintenance
๐Ÿ“ฑ Tech Startups AI Apps, Chatbots, NLP Tools

๐Ÿ’ก Who Should Take This Course?

This course is perfect for:

  • ๐ŸŽ“ Class 12th graduates with interest in coding or data

  • ๐Ÿ‘จ‍๐Ÿ’ป BCA/BSc/Engineering students looking to specialize

  • ๐Ÿง  Working professionals looking to upskill or switch to AI roles

  • ๐Ÿ’ผ Entrepreneurs building tech-driven businesses


๐Ÿ“Š Career Pathways After This Diploma

๐ŸŽฏ Role Avg. Starting Salary (INR)
AI/ML Intern โ‚น15,000 – โ‚น25,000/month
Junior Data Analyst โ‚น3 – โ‚น6 LPA
Machine Learning Engineer โ‚น4 – โ‚น8 LPA
AI Software Developer โ‚น5 – โ‚น10 LPA
Freelance AI Specialist โ‚น30,000 – โ‚น1 Lakh+/project

๐ŸŽ“ With additional certifications or a degree, students can progress to AI Researcher, Data Scientist, or AI Product Manager roles.


๐ŸŽ“ Course Structure at a Glance

Module Topics Covered
๐Ÿ“˜ Fundamentals of AI History, Types, Use Cases
๐Ÿ Python for AI Variables, Loops, Functions, Libraries
๐Ÿ“Š Data Science & Analysis Data Cleaning, Visualization, Stats
๐Ÿค– Machine Learning Regression, Classification, Clustering
๐Ÿง  Deep Learning (Intro) Neural Networks, CNNs (Basics)
๐Ÿ’ป Capstone Project Real-world application & deployment


 
Why Choose This Course

๐ŸŒŸ 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.


๐Ÿš€ Key Benefits

โœ… Job-Ready in Just 6–12 Months
๐Ÿง  Hands-on Learning with Real Datasets
๐Ÿ’ผ Aligned with IT, Finance, Health & Retail Industries
๐Ÿ“Š Master Python, Scikit-learn, TensorFlow & AI tools
๐Ÿงช Build Projects That Go on Your Resume
๐ŸŽ“ Prep for Certifications: Google, IBM, Microsoft AI
๐Ÿ“ˆ Enter a โ‚น7.8 Billion+ Indian AI Job Market


๐ŸŽฏ Skill Wheel – What You’ll Learn

Domain Key Skills Developed
๐Ÿ’ป Programming Python, NumPy, Pandas, Jupyter Notebooks
๐Ÿ“Š Data Analysis Data cleaning, EDA, data wrangling
๐Ÿค– ML Algorithms Supervised/unsupervised learning, model building
๐Ÿง  AI Concepts Neural networks, classification, deep learning basics
๐Ÿ“ˆ Problem Solving Real-world dataset exploration, project deployment
๐ŸŒ Cloud & Deployment AWS/GCP tools, Colab, Streamlit apps

โœ… These skills match roles like Data Analyst, ML Engineer, AI Developer, and AI Product Assistant.


๐Ÿ“ˆ Career Growth Map (From Learner to Leader)

Step 1 – Entry
๐ŸŽ“ Complete 12th / Graduation + Enroll in AI Diploma

Step 2 – Upskill
๐Ÿ“š Learn Python, ML, Data Analysis, Build Capstone Projects

Step 3 – Job-Ready
๐Ÿ’ผ Apply for internships, freelance roles, junior data jobs

Step 4 – Elevate
๐Ÿ“œ Earn certifications + pursue PG/advanced degrees (MCA, M.Sc AI, PGDS)

Step 5 – Specialize
๐Ÿงช Move into NLP, Computer Vision, AI Product Management, or Research


 

๐Ÿงฌ Specialization Tree (for Further Upskilling)


AI/ML Diploma
   โ”œโ”€โ”€ Data Analytics
   โ”œโ”€โ”€ Natural Language Processing (NLP)
   โ”œโ”€โ”€ Computer Vision
   โ”œโ”€โ”€ Robotics & Automation
   โ””โ”€โ”€ Reinforcement Learning


 

๐Ÿ’ผ Real-World Job Roles & Examples

๐Ÿ” Job Role ๐Ÿ’ก Key Skills Used ๐Ÿ’ฐ Avg Starting Salary (INR)
๐Ÿ‘จ‍๐Ÿ’ป ML Engineer (Junior) Python, Scikit-learn, model building โ‚น4 – โ‚น8 LPA
๐Ÿ“Š Data Analyst Intern Excel, Python, EDA โ‚น15K – โ‚น30K/month
๐Ÿค– AI Support Engineer Chatbots, AI APIs, Deployment Tools โ‚น3.5 – โ‚น6.5 LPA
๐Ÿง  AI Research Assistant TensorFlow, ML experiments โ‚น5 – โ‚น8 LPA
๐Ÿ’ผ Freelance AI Developer Custom ML models, small projects โ‚น25K – โ‚น1L per project

๐Ÿ”— With 1–2 years of experience, students can grow into roles like Data Scientist, AI Product Analyst, or AI Consultant.


๐Ÿ”ง ScholarIQ’s Smart Edge

๐Ÿš€ Feature ๐ŸŒŸ Benefit to You
๐Ÿงช AI Lab Simulator Build, test, and debug models in real-time
๐Ÿ“˜ Skill Gap Dashboard Tracks your readiness for specific roles
๐ŸŽฏ Project Builder Helps you present AI projects in your portfolio
๐Ÿง‘‍๐Ÿ’ผ Internship Connect Partnered companies and platforms for live roles
๐Ÿง  AI Career Pathfinder Tool Helps match your strengths with AI job clusters

๐Ÿงญ Why This Course Stands Out

  • ๐Ÿ”ฅ Blended Learning: Theory + Hands-on Projects

  • ๐Ÿ“ฑ Mobile-Friendly LMS – learn anywhere, anytime

  • ๐ŸŒ Future-Proof Skills – transferable across industries

  • ๐Ÿง‘‍๐Ÿซ No Prior Coding Required – beginner-friendly modules

  • ๐ŸŽฏ Career Launchpad – ideal for students, graduates, or working professionals



 
Curriculum

๐ŸŽ“ 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.


๐Ÿ“š Semester 1 – Foundation in Programming & Data

Students are introduced to programming, mathematics, bookkeeping, and computer fundamentals with practical exposure.

Subjects:

  • ๐Ÿ–ฅ Management Information SystemCSB-1111

  • ๐Ÿ’ป Problem Solving Using CCSB-1112

  • โž— Mathematics-ICSB-1113

  • ๐Ÿ“Š Financial AccountingCSB-1114

  • ๐Ÿ—ฃ English CommunicationENB-1101

  • ๐Ÿ–ฑ Computer Fundamentals & Office AutomationCSB-1101

  • ๐Ÿ”ฌ Problem Solving Using C (Lab)CSB-1151


๐Ÿค– 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:

  • ๐Ÿ—‚ System Analysis & DesignCSB-1211

  • โš™ C++ and Data Structure (with STL)CSB-1212

  • ๐Ÿ›  Software EngineeringCSB-3111

  • โ˜ IoT & Cloud ComputingCSB-3211

  • ๐Ÿค– Machine Learning Using PythonCSB-3212

  • ๐Ÿงช Machine Learning Using Python (Lab)CSB-3251

  • ๐Ÿ–ฅ C++ and Data Structure (Lab)CSB-1251


 
Fee Structure

๐Ÿ’ฐ Fee Structure – Diploma in Artificial Intelligence & Machine Learning

  • ๐Ÿ“… Duration: 1 Year (2 Semesters)

  • ๐Ÿซ Course Fee: โ‚น9,000 per semester

  • ๐Ÿ“ Exam Fee: โ‚น1,000 per semester

  • ๐Ÿ”„ Annual Fee (Course + Exam): โ‚น18,000

  • ๐Ÿ†• One-Time Registration Fee: โ‚น1,000

  • ๐Ÿ’ณ Total Program Fee (All Inclusive): โ‚น21,000


 
FAQs

Frequently Asked Questions