Internal Seminars

No	Topic	Sub Topic	Materials
1	Hyperparameter Tuning: Controlling and Improving Neural Network Training	What are hyperparameters? Learning rate, batch size & epochs Tuning strategies	—
2	Regularization Techniques: Preventing Overfitting and Improving Generalization	Overfitting & underfitting Dropout, L1 & L2 regularization Generalization strategies	—
3	How Neural Networks Improve: Optimization Algorithms and Learning Dynamics	Gradient descent variants Adam, SGD & momentum Learning dynamics & convergence	—
4	Backpropagation: How Neural Networks Learn Through Gradient Flow	Backpropagation algorithm Gradient flow & chain rule Weight updates	—
5	Basic of Quantum Computing	Introduction to quantum computing Mathematical language of qubits Superposition, entanglement & interference Quantum circuits & operations	Slides
6	N8N Workflow Automation: From Fundamentals to AI Integration	N8N architecture, nodes & workflows Hands-on pipelines LLM & RAG integration Real-world use cases	Slides
7	Activation Functions and Loss Functions: Enabling Learning in Neural Networks	Activation functions Loss functions Neural network learning	Slides
8	Model Architecture and Forward Propagation: How Neural Networks Are Structured and Compute Predictions	Neural network architecture Forward propagation Prediction computation	Slides
9	Anthropic Products and Features	Anthropic background Claude model use cases Claude web interface Claude Code CLI & desktop Key Claude Code features	Slides
10	Understanding Gemini AI Ecosystem and Use Cases	Gemini multimodal model & context window Deep Research & Gemini Live Image/video generation (Imagen, Veo) Developer tools (Firebase Studio, AI Studio, Gemini CLI) NotebookLM & Google Vids	Slides
11	OpenAI Products and Features	OpenAI introduction ChatGPT products & use cases Sora & Codex OpenAI platform & developer ecosystem	Slides
12	Foundations of Building Machine Learning Models	Problem definition Data handling & preprocessing	Slides
13	PAPER : Attention is all you need	Transformer overview & architecture Encoder Methodology & results Model behavior analysis	Slides Paper
14	Deep Dive into Object Detection : How models see "what"and "where"	Object detection overview & model output Two-stage & one-stage detectors Backbone / neck / head architecture Evaluation metrics	Slides
15	Mastering Data Storytelling and Visualization in Power BI	Plot types & interpretation Power BI Data storytelling for publications	Slides
16	Understanding fundamentals of Prompt Engineering	Prompt engineering definition Mechanics of LLM prompting Core components of a prompt Chain-of-Thought (CoT)	Slides
17	An Introduction to NL2SQL	NL2SQL core ideas & pipeline Models & schema encoding Applications & challenges	Slides
18	Understanding Computer Vision and Applications	Computer vision overview Image classification Object detection & tracking Object segmentation Pose estimation	Slides
19	Understanding Journal Indexing and Publication metrics	Journal indexing databases Impact Factor vs. CiteScore Author-level metrics (h-index) Google Scholar	Slides
20	Understanding basic LaTex	What is LaTeX? Essential commands Structuring a document Citations & bibliography Creating a PDF	Slides
21	Understanding Submission and Revision processes	Choosing a journal Formatting for submission Peer review process Responding to reviewer comments Final proofreading & publication	Slides
22	Citation and Reference Management	Citation styles Manual citation Reference management systems Creating a bibliography	Slides
23	Understanding research paper structure	Research paper structure overview Description of each section Sample journal walkthrough	Slides