Diploma in Computer Science & Artificial Intelligence

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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