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Diploma in Computer Science & Artificial Intelligence

Job Description

To equip students with fundamental computer science skills and specialized knowledge in AI, preparing them to develop and apply intelligent computing solutions.


Objective: The Diploma in Computer Science & Artificial Intelligence is designed to provide students with a strong foundation in programming, data structures, algorithms, databases, and computer networks, along with specialized training in AI technologies. The course covers machine learning, natural language processing, neural networks, robotics, and data analytics, emphasizing both theory and real-world applications. Students gain hands-on experience through coding, AI model development, and project-based learning using modern tools and frameworks.

Eligibility Criteria

Criteria 1

Criteria 2

Experience

Training Qualification

SSLC

Pursuing Continuous Schooling

1 Year

None

12th

Passed

6 Months

None

Degree

Passed

No Experience

None


Sector

Artificial Intelligence

Certifying Bodies

National Education Training And Development

Type of Organisation

Board of Vocational Education

Learning Module In Job Role/Syllabus

Occupation Standards/Syllabus

NCO Code

Mandatory/ Optional

Duration

  • Module 1: Fundamentals of Computer Science

  • Module 2: Programming and Data Structures

  • Module 3: Database Management Systems

  • Module 4: Artificial Intelligence Foundations

  • Module 5: Machine Learning and Data Science

  • Module 6: Emerging Technologies and Professional Skills



N/A





Mandatory




1 Year




Career Opportunities

1. Core Entry-Level Roles

Diploma holders can step into data-driven and AI-oriented roles, with salaries reflecting their practical training:

  • AI/ML Engineer

  • Data Analyst

  • Machine Learning Intern / Research Assistant

    These figures are typical for those starting right after the AI or ML diploma programs.

2. Mid-Level & Specialist Roles

With experience (2–5 years), professionals can advance into more strategic and higher-paying roles:

  • Machine Learning Engineer

  • Data Scientist

  • AI Consultant / Business Intelligence Developer

  • AI Architect / Senior Data Scientist / Machine Learning Manager

  • Chief Data Officer

3. High-Demand AI Specializations

Roles in subfields of AI command competitive salaries due to technical complexity and demand:

  • AI/ML Engineer

  • Data Scientist

  • Computer Vision / NLP Engineer

  • AI Research Scientist

  • Broader CSE & AI Integration Roles

Diploma holders can also pursue general computer science positions enhanced by AI skills:

  • Software Developer / Systems Architect / Full Stack Developer / IoT Engineer / Cloud Architect / Cybersecurity Specialist

With leadership experience or entrepreneurship, one can rise to:

  • AI Product Manager

  • Chief AI Officer (CAIO)

 


Duration Hours

Theory :

250

Practical :

250

Employability Skills :

20

OJT (Mandatory) :

20

Specializations in Course

Computer Science & Artificial Intelligence is designed to provide students with a strong foundation in programming, data structures, algorithms, databases, and computer networks, along with specialized training in AI technologies. The course covers machine learning, natural language processing, neural networks, robotics, and data analytics, emphasizing both theory and real-world applications.


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