The technology sector is advancing at a rapid pace and with a BCA degree, you are already well positioned to benefit from these changes. Presently, areas such as artificial intelligence (AI), machine learning (ML), and data science (DS) are not only popular but they are also pioneering the evolution of the workplace. If you are thinking about career opportunities after BCA, especially in these high-growth domains which are expected to grow very fast, then this blog will assist you in discovering the best career options after BCA, identifying required skills, and planning your future career.
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The Master’s Programme in Governance and Public Policy is designed for current and aspiring leaders, executives, and professionals who operate within increasingly complex governance ecosystems at local, national, and global levels. The programme adopts a broad and contemporary understanding of “policy,” encompassing public policy, regulatory policy, organisational and corporate policy, as well as sector-specific policy frameworks shaping emerging industries and institutions.
Set against the backdrop of a rapidly transforming global order and India’s evolving role as a key governance and economic actor, the programme equips learners with a strong foundation in governance structures, policy processes, institutional design, and international engagement. It is particularly relevant for professionals working at the intersections of business, technology, innovation, society, and government, where policy decisions directly influence strategic outcomes.
By integrating conceptual clarity with applied, practice-oriented learning, the programme enables participants to critically analyse complex public and regulatory challenges, design responsive policy solutions, and contribute to institutional strengthening across sectors. Learners engage with real-world policy problems, regulatory environments, and stakeholder dynamics, preparing them to navigate uncertainty and change.
With a strong emphasis on ethical governance, evidence-based policymaking, leadership, and institutional effectiveness, the programme prepares executives to engage meaningfully with governments, regulatory authorities, corporations, international organisations, think tanks, and research institutions. It is especially suited for professionals seeking to upskill, upgrade their career, enhance their policy literacy, leadership capacity, and strategic influence in an increasingly interconnected and policy-driven world.
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India's aviation sector is not only expanding very rapidly but also creating numerous job opportunities for diploma holders. Some of the sectors, such as airport handling, aircraft engineering, cargo logistics, and customer service of airlines, are among the areas where the industry is offering career avenues to diploma holders.
Basic Event Details
Event Title: 5 DAYS BOOTCAMP ON ARTIFICIAL INTELLIGENCE
Event Date & Day: 02 nd - 06 th February 2026 (Monday to Friday)
Time: 10:00 AM to 6:00 PM
Department Name: Faculty of Science & Technology, Vishwakarma University, Pune
Venue: VU2 Building, Vishwakarma University, Pune
Mode: Offline
Organizing Team
Convenor:
Dr. Kailas Patil
Dean, Faculty of Science & Technology
Vishwakarma University, Pune
Co-Convenor:
Dr. Pavitha Nooji
Associate Dean, Faculty of Science & Technology Vishwakarma University, Pune
Prof. Jayendra Jadhav
Department of Artificial Intelligence
Faculty of Science & Technology
Vishwakarma University, Pune
About the Program
The Artificial Intelligence Bootcamp was organized under the FutureSkills PRIME initiative in collaboration with C-DAC Pune. The program aimed to strengthen technical competencies and promote responsible AI practices among undergraduate students.The bootcamp was designed with a learn-by-doing approach. Each concept was supported with practical laboratory sessions to ensure immediate application of knowledge. The curriculum covered Python programming, data handling, visualization, machine learning, deep learning, computer vision, natural language processing, Generative AI, Explainable AI, Ethical AI, and Responsible AI
Day-wise Schedule, Overview & Procedures
Day 1: Introduction to AI and Python Basics
The bootcamp commenced with an introduction to Artificial Intelligence, its evolution, and its applications across industries. Participants were introduced to Python programming fundamentals including variables,data types, loops, and functions. Practical sessions allowed students to write basic programs and understand data manipulation techniques.
Day 2: Data Visualization and Machine Learning
The second day focused on data preprocessing, exploratory data analysis, and visualization techniques. Students learned about supervised and unsupervised learning algorithms. Hands-on implementation of regression and classification models enabled students to understand model training, testing, and evaluation metrics.
Day 3: Deep Learning
Day three introduced neural networks, activation functions, and backpropagation concepts. Participants worked on deep learning models using structured datasets. Practical implementation enhanced understanding of layers, loss functions, and optimization techniques.
Day 4: Computer Vision and Natural Language Processing
Students explored image processing fundamentals and computer vision applications. NLP sessions covered text preprocessing, tokenization, and sentiment analysis. Laboratory exercises included implementing basic image classification and text analysis tasks.
Day 5: Advanced NLP and Ethics in AI
The final day covered advanced NLP concepts, introduction to transformer models, and Generative AI. Special emphasis was placed on Explainable AI, Ethical AI, and Responsible AI practices. Students discussed bias, fairness, transparency, and responsible deployment of AI systems.The bootcamp concluded with interactive discussions, feedback collection, and acknowledgment of resourcepersons from C-DAC Pune.
Outcome
Event Highlights (Photographs)
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