The Bachelor of Computer Applications with a specialization in Generative AI (Gen AI) is a future-forward, industry-integrated program designed in association with IBM, a global leader in AI and cloud technologies. This program equips students with essential Gen AI competencies and real-world tools used in today’s most innovative companies.
From mastering Python programming to implementing AI-driven solutions using IBM WatsonX, this curriculum aligns with current industry needs and prepares students for high-growth roles in the Gen AI space. Each module is powered by IBM-certified learning content, ensuring globally recognized training and certifications.
Program Highlights
- Earn industry-recognized certifications from IBM.
- Learn through hands-on training in Python, Data Visualization, Predictive Modeling, and Watson Services.
- Get access to IBM WatsonX, a leading AI platform for building and scaling Gen AI applications.
- Master real-world applications of cloud, AI, and data science technologies.
- Gain project experience that mirrors industry scenarios and job requirements.
- Receive career support and placement opportunities through IBM’s industry network.
Career Scope
With the AI industry set to reach $407 billion by 2027, and demand for Gen AI professionals skyrocketing, this specialization opens the door to some of the most high-impact and future-proof careers in tech. Graduates of the BCA – Gen AI program can explore roles such as:
- AI Developer
- Machine Learning Engineer
- Data Analyst (AI-focused)
- AI Solution Architect
- Gen AI Application Developer
- NLP Engineer
- WatsonX Consultant
- Predictive Model Designer
- AI Trainer or Educator
Why Choose BCA – Gen AI with IBM?
- Learn from IBM-certified modules with global recognition.
- Gain exposure to tools that power real enterprise-grade Gen AI.
- Build a strong portfolio with project-based learning.
- Be job-ready with the latest in AI, cloud, and analytics.
- Join a growing ecosystem of next-gen AI professionals.
Program Outcome
- Basic Knowledge: Able to apply knowledge of computer applications to solve the problems of the real world by designing modern computing tools & techniques.
- Experiments and Practice: Able to identify, analyze and perform experiments to solve computer applications-related issues.
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Environment and sustainability: Able to understand the impact of computer applications and be prepared to design innovative methodologies for solving complex
real-life problems for the betterment of society.
- Ethics: Able to apply ethical principles and committed to professional ethics and responsibilities and norms of the computer applications practice.
- Individual and Team work: Able to work effectively both as an individual and a team leader on a multi-disciplinary project.
- Communication: Able to communicate effectively so that they can effectively present technical information in oral & written reports.
- Life-long learning: Able to recognize the need and ability to engage in lifelong learning in the context of technological changes.
- Entrepreneurship: Able to become future entrepreneurs.
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