• Training in artificial intelligence (AI) and data analytics.
• Understanding of AI concepts, algorithms, and techniques.
• Knowledge of data collection, processing, and analysis.
• Practical skills in programming, machine learning, and deep learning.
• Application of AI and data analytics in various domains.
• Project-based learning and industry internships.
• Exposure to emerging technologies and trends in AI and data analytics.
• Career guidance and placement support.

• Gain expertise in AI and data analytics, which are high-demand fields with significant career opportunities.
• Learn how to leverage data for insights, decision-making, and problem-solving.
• Develop practical skills in programming, machine learning, and deep learning.
• Understand the latest trends and emerging technologies in AI and data analytics.
• Apply AI and data analytics techniques in various domains and industries.
• Contribute to advancements in AI and data-driven decision-making.
• Explore career paths in AI development, data analysis, machine learning engineering, and AI consulting.
• Work on real-world projects and gain industry experience through internships.
• Receive career guidance and placement support to kick-start your professional journey.

After completing a B.Voc Artificial Intelligence and Data Analytics program, graduates can explore various career opportunities in the field of AI and data analytics. Some potential job roles include:

• AI Engineer
• Data Analyst
• Machine Learning Engineer
• Data Scientist
• AI Consultant
• Business Intelligence Analyst
• Data Engineer
• AI Researcher
• Data Visualization Specialist
• AI Project Manager

The future scope for B.Voc Artificial Intelligence and Data Analytics graduates is promising due to the increasing adoption of AI and data analytics technologies across industries. As organizations generate vast amounts of data, there is a need for professionals who can effectively analyze and derive valuable insights from this data. Graduates can expect to find opportunities in sectors such as finance, healthcare, technology, retail, and consulting.

With advancements in AI and data analytics, there is a growing demand for skilled professionals who can develop AI models, implement data analysis techniques, and interpret complex datasets. Graduates can pursue careers as AI engineers, data analysts, machine learning engineers, or data scientists. They can also explore research and development roles in AI and contribute to the advancement of the field. Continuous learning, staying updated with emerging technologies, and acquiring advanced skills will be essential for long-term career growth in the rapidly evolving field of AI and data analytics.