Overview
- Introduce students to Generative AI concepts, tools, and applications across different domains.
- Provide hands-on experience with real AI platforms (ChatGPT, Gemini, Copilot, DALL·E, Midjourney, etc.).
- Enhance problem-solving and creativity using AI-assisted workflows.
- Build confidence in integrating AI into academic and professional work, including projects and documentation.
Our Trainers
Siddhant Shaw
| AI & Drone Innovator | Tech Evangelist
Siddhant Shaw is a visionary technologist specializing in IoT, Robotics, Mechatronics, Drones, and AI. With a passion for innovation, he has been at the forefront of designing and architecting IoT-Cloud-based solutions, developing AI-driven drones, and creating ready-to-sell technological solutions that address real-world challenges.
As a skilled designer and 3D printing expert, Siddhant excels in building cutting-edge prototypes that integrate hardware and AI, bridging the gap between automation and human-centric applications. His work focuses on autonomous systems, intelligent drone applications, and next-generation robotics, pushing the boundaries of what's possible in these domains.
A dedicated mentor and educator, Siddhant has trained and guided over 1,500+ students, empowering them with knowledge and hands-on experience in IoT, AI, and drone technology. His efforts in fostering the next generation of tech innovators have made him a highly sought-after speaker and trainer.
Recognized for his contributions, Siddhant was awarded the IEEE Best Project Award in 2024, a testament to his impact in the field of IoT and AI-driven robotics. His ability to combine technology, business acumen, and mentorship makes him an influential leader in the emerging tech space.
Whether speaking on smart automation, drone intelligence, or AI-powered robotics, Siddhant is dedicated to advancing innovation, mentoring young minds, and delivering impactful solutions to modern societal challenges.
Modules
Day 1: Introduction to Generative AI
- What is Generative AI?
- Types of GenAI models (LLMs, Diffusion models, Multimodal AI)
- Understanding prompts & responses
- Applications across industries
- Responsible AI & ethics basics
Day 2: Prompt Engineering Mastery
- Types of prompts (Instruction, Role, Persona, Context)
- Zero-shot, one-shot, few-shot prompting
- Chain-of-thought prompting
- Avoiding hallucinations & improving accuracy
- Prompt patterns for coding, writing, research
Day 3: GenAI for Productivity, Content & Design
- Using GenAI for writing, presentations, documents
- Image generation basics (DALL·E, Midjourney, Imagen)
- Creating social media content using AI
- Using AI for research summary & document creation
Day 4: GenAI for Coding & Automation
- Using AI for debugging & code generation
- Understanding AI agents & workflow automations
- Data extraction using GenAI
- Document-to-code workflows
Day 5: Mini Project + Future Skills
- Integrating text, image, and code generation
- Building AI-assisted presentations
- AI career paths (Prompt engineer, AI trainer, AI operations, etc.)
- Latest trends in Generative AI
Outcomes
- Students will understand the fundamentals of Generative AI, LLMs, image models, and AI tools.
- Students will be able to produce academic content such as reports, presentations, diagrams, project summaries, and documentation.
- Students will build a mini project demonstrating the use of text + image + code generation.
- Students will understand AI ethics, safety, and responsible use.
