Bootcamp On Artificial Intelligence (AI)
Bootcamp on AI
The AI Bootcamp 2025 was a five-day immersive learning experience designed to provide participants with a strong foundation in Artificial Intelligence (AI), Machine Learning (ML), and its real-world applications. The sessions were led by industry experts, featuring hands-on activities, discussions, and interactive Q&A segments to foster engagement and practical understanding.
Day 1: March 4, 2025 – Introduction to AI
The bootcamp kicked off with an introduction to AI, setting the stage for participants to explore its history, evolution, and impact across various industries.
Topics Covered:
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Definition of AI and its historical development
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Types of AI: Narrow AI, General AI, and Super AI
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Understanding AI’s influence in modern technology
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Introduction to Machine Learning and Deep Learning
Day 2: March 5, 2025 – Machine Learning & Deep Learning Fundamentals
This session delved deeper into the fundamental concepts of Machine Learning (ML) and Deep Learning (DL), differentiating between the two and introducing key algorithms.
Topics Covered:
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Supervised vs. Unsupervised Learning
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Neural Networks and Deep Learning techniques
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Applications of ML and DL in various domains
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Challenges in AI implementation
Hands-on Activity:
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Participants engaged in discussions on real-world AI applications, exploring ML-based solutions in healthcare, finance, and automation.
Day 3: March 6, 2025 – Real-World AI Applications & Ethical Considerations
Participants explored AI’s role in different industries and learned about ethical concerns surrounding AI technology.
Topics Covered:
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AI in Healthcare, Finance, and Automation
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AI for Social Good: Smart cities and environmental applications
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Ethical concerns: Bias in AI and responsible AI practices
Interactive Q&A:
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Instructors shared insights on AI development and addressed participants' queries on industry applications.
Day 4: March 7, 2025 – AI Tools & Hands-on Workshop
This session focused on practical exposure, providing participants with demonstrations of AI tools and frameworks used in industry.
Topics Covered:
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AI Model Development & Deployment
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Popular AI frameworks: TensorFlow, PyTorch
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Building AI chatbots and image recognition models
Hands-on Activity:
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Small group exercises where participants worked on basic AI model implementation.
Day 5: March 8, 2025 – AI Innovation & Future Prospects
The final day of the bootcamp focused on upcoming trends in AI, research opportunities, and career pathways in the AI domain.
Topics Covered:
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Future of AI: Autonomous systems, Generative AI, and AI-driven automation
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AI research trends and breakthroughs
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Career opportunities in AI and ML
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Guidance on AI certifications and industry pathways
Panel Discussion & Closing Ceremony:
The event concluded with a panel discussion featuring industry experts and faculty members, discussing the future of AI and addressing participants’ questions on career growth in the field.
Date and Time
Location
Hosts
Registration
- Start time: 04 Mar 2025 05:00 AM UTC
- End time: 08 Mar 2025 09:00 AM UTC
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Add Event to Calendar
- C Block Galgotias University
- Gautam Buddha Nagar, Uttar Pradesh
- India 203201
- Building: Galgotias University C Block
- Room Number: C - 109
- Contact Event Host
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Shubham Pal - +91 8317072770
Chairperson IEEE IAS - Co-sponsored by National Institute of Electronics & Information Technology & Galgotias University
Speakers
Partha Adhikari of National Institute of Electronics & Information Technology (NIELIT) Delhi
BOOTCAMP ON AI
Partha Adhikari serves as an Additional Director at the National Institute of Electronics & Information Technology (NIELIT) in Delhi, India. He completed his education at Kendriya Vidyalaya, Tagore Garden, in Delhi. His profile reflects a commitment to advancing electronics and information technology education in India
Agenda
AI Bootcamp 2025 - Agenda
March 4 - March 8, 2025
Day 1: Introduction to AI
- Definition of AI and its historical development
- Types of AI: Narrow AI, General AI, and Super AI
- AI’s influence in modern technology
- Introduction to Machine Learning and Deep Learning
Day 2: Machine Learning & Deep Learning Fundamentals
- Supervised vs. Unsupervised Learning
- Neural Networks and Deep Learning techniques
- Applications in healthcare, finance, and automation
- Challenges in AI implementation
- Hands-on Activity: Discussions on real-world AI applications
Day 3: Real-World AI Applications & Ethical Considerations
- AI in Healthcare, Finance, and Automation
- AI for Social Good: Smart cities and environmental applications
- Ethical concerns: Bias and responsible AI practices
- Interactive Q&A: Insights from AI experts
Day 4: AI Tools & Hands-on Workshop
- AI Model Development & Deployment
- Popular AI frameworks: TensorFlow, PyTorch
- Building AI chatbots and image recognition models
- Hands-on Activity: Basic AI model implementation in small groups
Day 5: AI Innovation & Future Prospects
- Future of AI: Autonomous systems, Generative AI, and AI-driven automation
- AI research trends and breakthroughs
- Career opportunities in AI and ML
- Guidance on AI certifications and industry pathways
- Panel Discussion & Closing Ceremony