BCA Generative Artificial Intelligence
Bachelor of Computer Application (BCA) with Specialisations
Generative Artificial Intelligence Integrated with GUVI HCL Certification
Eligibility
Candidates must have completed their 10+2 (Higher Secondary) education or an equivalent course recognised by the University. This generative AI course eligibility criterion ensures a foundational knowledge base for aspiring students.
Overview
The Bachelor of Computer Applications (BCA) with a specialisation in Generative Artificial Intelligence Integrated with GUVI HCL Certification provides students with a comprehensive understanding of artificial intelligence and machine learning, along with specialised knowledge in generative AI. This BCA generative AI programme is designed to equip students with the skills and expertise needed to develop innovative solutions using advanced AI technologies.
The curriculum includes topics such as natural language processing, computer vision, generative models, and advanced AI techniques. The BCA generative AI syllabus focuses on blending theoretical knowledge with practical implementation. Students gain hands-on experience through practical sessions and project work, enabling them to apply AI to solve real-world challenges. This programme prepares students for careers in AI-driven industries, research, and innovation. It is among the best generative AI course colleges in India for those looking to specialise in this rapidly growing field.
Certification Offered:
We offer globally recognised Coursera certifications to equip learners with practical expertise and industry-relevant skills across various emerging technology disciplines. Developed in collaboration with leading organisations, these certifications provide a rigorous academic foundation and hands-on experience, ensuring learners are well-prepared to meet the demands of the evolving professional landscape.
With a strong emphasis on real-world application, these certifications bridge the gap between theoretical knowledge and industry practice, enabling individuals to excel in their respective fields and contribute meaningfully to technological advancement. Students seeking generative AI courses in India benefit from this globally aligned learning path.
Course Highlights
- Gain practical exposure through internships with leading AI-focused companies.
- Receive assistance in obtaining industry-recognised certifications in AI and Machine Learning.
- Engage in hands-on projects emphasising generative AI applications across diverse fields.
- Work in advanced AI research labs and collaborate with research teams on innovative projects.
- Participate in regular workshops and seminars led by AI professionals and thought leaders.
- Connect with industry experts and expand your professional network in the AI domain.
- Learn to create impactful resumes and develop interview skills tailored for AI roles.
- Receive personalised mentoring and access to a dedicated job placement portal for career opportunities.
- Leverage resources and mentorship to initiate and grow AI-focused entrepreneurial ventures.
- Stay updated with the latest AI trends through professional development webinars.
- Benefit from the guidance and support of an extensive alumni network in the AI field.
As one of the top generative AI course colleges in India, the programme offers students in-demand industry training and exposure to real-world applications, particularly for those exploring generative AI courses in Bangalore.
Study Campus
JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 8310942174
Admissions Office
JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 8310942174
080 - 69279444
Curriculum Structure
- Fundamentals of Mathematics
- Problem Solving Techniques
- Computer Organization
- Language I (Kannada / Sanskrit / Additional English / Hindi)
- General English – I
- Problem Solving Techniques Lab
- Computer Organization Lab
- Mind Management and Human Values - I
- Trans Disciplinary Project Centric Learning - I (TD-PCL-1)
- Data Structures
- Operating Systems
- Language II (Kannada / Sanskrit / Additional English)
- General English – II
- Object Oriented Programming using Java
- Data Structures Lab
- Object Oriented Programming using Java Lab
- Mind Management and Human Values - II
- Trans Disciplinary Project Centric Learning - II (TD-PCL-2)
- Open Elective - I
- Research Methodology
- Quantitative Aptitude
- Computer Networks / SWAYAM Course
- Professional Elective - I (Software Engineering / Software Project Management)
- Environmental Science and Sustainability
- Professional Elective - II (Database Management System / DB2)
- Summer Internship - I (6 to 8 weeks)
- Problem Solving using Python
- Problem Solving using Python Lab
- Professional Elective - II Lab (DBMS Lab / DB2 Lab)
- Computer Networks Lab
- Trans Disciplinary Project Centric Learning - III (TD-PCL-3)
- Open Elective – II
- GUVI - I Foundations of Machine Learning and Deep Learning for Generative AI
- Applied Research
- Professional Elective - III
- GUVI - II Natural Language Processing (NLP) for Generative AI
- Artificial Intelligence
- Professional Elective - IV
- Soft Computing
- Object Oriented Systems & Design
- Competitive Coding
- Design Thinking and Innovation / SWAYAM
- Trans Disciplinary Project Centric Learning - IV (TD-PCL-4)
- Open Elective – III
Track 1 - Conventional Approach
- Cloud Computing
- Service Oriented Architecture
- Professional Elective - V
- Data Mining and Data Warehousing
- Business Intelligence
- Professional Elective - VI
- GUVI - 3 Generative AI for Vision: Foundations in Computer Vision
- DevOps
- Professional Elective - VII
- GUVI - 4 Advanced Techniques and Applications of Generative AI
- Data Visualization with Python
- GUVI - 4 Advanced Techniques and Applications of Generative AI Lab
- Data Visualization with Python Lab
- Summer Internship
- Trans Disciplinary Project Centric Learning - V (TD-PCL-5)
Track 2 - Projects
- Professional Elective - V
- Data Mining and Data Warehousing
- Business Intelligence
- Professional Elective - VI
- GUVI - 3
- Generative AI for Vision: Foundations in Computer Vision
- DevOps
- Professional Elective - VII
- GUVI - 4
- Advanced Techniques and Applications of Generative AI
- Data Visualization with Python
- GUVI - 4 (Labs)
- Advanced Techniques and Applications of Generative AI Lab
- Data Visualization with Python Lab
- Capstone Project
- Summer Internship
- Trans Disciplinary Project Centric Learning - V (TD-PCL-5)
Track 3 - Entrepreneurship
- Professional Elective - V
- Data Mining and Data Warehousing
- Business Intelligence
- Professional Elective - VI
- GUVI - 3 Generative AI for Vision: Foundations in Computer Vision
- DevOps
- Professional Elective - VII
- GUVI - 4 Advanced Techniques and Applications of Generative AI
- Data Visualization with Python
- GUVI - 3 Generative AI for Vision: Foundations in Computer Vision Lab
- DevOps Lab
- GUVI - 4 Advanced Techniques and Applications of Generative AI Lab
- Data Visualization with Python Lab
- Entrepreneurship
- Summer Internship
- Trans Disciplinary Project Centric Learning - V (TD-PCL-5)
Track 4 - Internship / Placement
- Professional Elective - V
- CNN for Computer Vision
- NLP for Text Processing
- SWAYAM Courses
- Professional Elective - VI
- Generative AI for Business
- Generative AI for Security
- SWAYAM Courses
- Professional Elective - VII
- Generative AI for Gaming
- Ethics in Generative AI
- Generative AI SWAYAM Courses
- Internship / Placement
- Summer Internship
- Trans Disciplinary Project Centric Learning - V (TD-PCL-5)
Track 1 - Conventional Approach
- Advanced Data Management
- Professional Elective - VIII
- Front End Technologies
- E-Technologies
- Professional Elective - IX
- Social Network Analysis
- Cognitive Computing
- Capstone Project
- Trans Disciplinary Project Centric Learning - VI (TD-PCL-6)
Track 2 - Project
- Advanced Data Management
- Professional Elective - VIII
- Front End Technologies
- E-Technologies
- Professional Elective - IX
- Social Network Analysis
- Cognitive Computing
- Capstone Project
- Trans Disciplinary Project Centric Learning - VI (TD-PCL-6)
Track 3 - Entrepreneurship
- Advanced Data Management
- Professional Elective - VIII
- Front End Technologies
- E-Technologies
- Professional Elective - IX
- Social Network Analysis
- Cognitive Computing
- Entrepreneurship
- Trans Disciplinary Project Centric Learning - VI (TD-PCL-6)
Track 4 - Internship & Placement
- Advanced Database Management System
- SWAYAM Course
- Professional Elective - VIII
- Front End Technologies
- E-Technologies
- SWAYAM Course
- Professional Elective - IX
- Social Network Analysis
- Cognitive Computing
- SWAYAM Course
- Internship / Placement
- Trans Disciplinary Project Centric Learning - VI (TD-PCL-6)
BCA Honors
- Cyber Forensic
- Edge Computing
- Software Quality Assurance
- Professional Elective - X
- Information Retrieval Techniques and Algorithms
- Data Retrieval Techniques
- Professional Elective - XI
- Virtual Reality & Augmented Reality / SWAYAM Course
- Agile Project Management
- Dissertation Work [Evaluation in Eighth Semester]
- Summer Internship III
BCA Honors with Research
- Cyber Forensic
- Interdisciplinary Research in Science and Technology
- Research Project
- Professional Elective - X
- Information Retrieval Techniques and Algorithms
- Data Retrieval Techniques
- Professional Elective - XI
- Virtual Reality & Augmented Reality / SWAYAM Course
- Agile Project Management
- Summer Internship III
BCA (Honors)
- Professional Elective - XII
- Big Data Analytics
- Semantic Web Technologies
- Professional Elective - XIII
- Database Security
- Cybersecurity Architecture
- Professional Elective - XIV
- Intrusion Detection System
- Cloud Security
- Dissertation Work [Started in Seventh Semester]
BCA Honors with Research
- Dissertation Work [Started in Seventh Semester]
Career Outcomes
Pathway after Bachelor of Computer Application (BCA) with Specialisation in Generative AI
Graduates can pursue roles such as:
- AI Engineer
- Machine Learning Specialist
- Generative AI Developer
- Data Scientist/Analyst
- AI Research Analyst
- Software Developer with AI Expertise
- Ethical AI Consultant
- AI Product Manager
- Chatbot Developer
- Cloud AI Architect
- AI System Manager
- Researcher in AI Applications
Whether you're looking to advance your career in generative AI courses in Bangalore or explore opportunities nationally through generative AI courses in India, this programme is a stepping stone into the future of technology.
FAQ's
Is Generative AI the future?
Generative AI is expected to play a significant role in the future, especially in content creation, automation, and problem-solving across industries.
What are the types of Generative AI?
The main types of Generative AI include text generation (like ChatGPT), image generation, video generation, music composition, and code generation.
What is the difference between Generative AI and General AI?
Generative AI focuses on creating content based on patterns in data, while General AI aims to think and reason like a human across different tasks.
Why is it called Generative AI?
It is called Generative AI because it generates new content. For example, text, images, or music, based on learned data patterns.
Will Generative AI replace humans?
Generative AI can automate many tasks, but human creativity and intelligence are irreplaceable. Human judgment and decision-making will still be essential in many fields.