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Diploma in Computer Application & Artificial Intelligence

Diploma in Computer Application & Artificial Intelligence

Original price was: ₹8,000.0.Current price is: ₹4,000.0.

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Description

 

Here’s a structured course outline for a Diploma in Computer Application & Artificial Intelligence (DCAAI), designed to provide foundational and intermediate skills in computer applications along with an introduction to AI concepts.

Diploma in Computer Application & Artificial Intelligence (DCAAI)

Duration: 1 Year (2 Semesters) / 6 Months (Intensive)
Eligibility: 10+2 (High School) or equivalent

Course Objectives

  1. Equip students with practical skills in computer applications (software, programming, and IT fundamentals).

  2. Introduce core concepts of Artificial Intelligence (AI) and Machine Learning (ML).

  3. Develop problem-solving skills using computational tools and AI techniques.

  4. Prepare students for entry-level IT jobs or further studies in AI/Computer Science.

Course Modules

Semester 1: Computer Applications & Programming Fundamentals

  1. Computer Fundamentals & Office Automation

    • Basics of Hardware/Software

    • MS Office (Word, Excel, PowerPoint, Access)

    • Internet & Email Management

  2. Programming with Python

    • Syntax, Data Types, Control Structures

    • Functions, File Handling

    • Basics of OOP (Object-Oriented Programming)

  3. Web Technologies

    • HTML5, CSS3, JavaScript (Basics)

    • Introduction to WordPress

  4. Database Management

    • SQL Fundamentals (MySQL/SQLite)

    • Data Querying and Management

  5. Mathematics for Computing

    • Discrete Mathematics

    • Statistics for Data Analysis

Semester 2: Artificial Intelligence & Advanced Topics

  1. Introduction to AI & Machine Learning

    • History and Applications of AI

    • Types of AI (Narrow, General, Supervised/Unsupervised Learning)

  2. Data Science Fundamentals

    • Data Preprocessing, Visualization (Pandas, Matplotlib)

    • Basics of NumPy for AI

  3. Machine Learning Basics

    • Regression, Classification, Clustering

    • Algorithms: Decision Trees, K-NN, Linear Regression

  4. AI Tools & Frameworks

    • TensorFlow/Keras (Introduction)

    • Chatbots & NLP (Natural Language Processing) Basics

  5. Capstone Project

    • Build a simple AI model (e.g., spam classifier, sales predictor)

    • Presentation and Documentation

Practical Training

  • Lab Sessions (Python, SQL, AI Tools)

  • Mini-Projects (Web Apps, Data Analysis, AI Models)

  • Industry Guest Lectures/Workshops

Career Opportunities

  • Computer Application Roles: Data Entry Operator, IT Support, Web Designer

  • AI/ML Roles: Junior AI Technician, ML Intern, Data Analyst Trainee

  • Higher Studies: BSc/MSc in Computer Science, AI Certifications (Google, IBM)

Certification

  • Diploma awarded upon successful completion of exams and projects.

Why Choose This Course?

✔ Blends traditional IT skills with futuristic AI knowledge.
✔ Hands-on training with real-world projects.
✔ Affordable pathway to enter the AI/IT industry.

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