No Topic Sub Topic Materials
1 LLMsDeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
  • RLHF fundamentals: review of Proximal Policy Optimization (PPO) and its traditional role in alignment
  • Enter GRPO (Group Relative Policy Optimization): mechanics and how it removes the separate critic model
  • PPO vs GRPO: memory efficiency, training stability & computational overhead
Paper
2 LLMsUnderstanding Self-Attention Variants in Modern LLMs
  • Recap: Query, Key and Value in self-attention
  • Causal vs bidirectional self-attention
  • Single-head vs multi-head attention
  • Multi-Head Attention (MHA)
  • Multi-Query Attention (MQA)
  • Grouped-Query Attention (GQA)
  • Cross-attention vs self-attention
3 LLMsLarge Language Models for Combinatorial Optimization
  • Overview of the review paper "Large Language Models for Combinatorial Optimization: A Systematic Review"
  • Introduction to optimization problems
  • Introduction to combinatorial optimization problems
  • Large language models for combinatorial optimization
4 LLMsUnderstanding LLM Evaluation: Hands on Implementation
  • Recap of the 4 paradigms of LLM evaluation & motivation
  • GSM8K: verifier demo
  • HumanEval / Pass@k: execution demo
  • MT-Bench: LLM-as-a-Judge
Slides
5 LLMsAgentic AI in the AI Era
  • Concept & key characteristics of agentic AI
  • Evolution from traditional AI and generative AI to agentic AI
  • Main components: planning, memory, reasoning & tool use
  • Benefits, limitations, risks & ethical concerns of autonomous agents
  • Future trends in human-AI collaboration and multi-agent systems
Slides
6 LLMsFine Tuning LLMs
  • Introduction to LLM fine-tuning
  • Fine-tuning methods (Full, LoRA, QLoRA, PEFT)
  • LLM training pipeline
  • Hardware & optimization
  • Evaluation & benchmarking
  • Deployment & inference
Slides
7 LLMsUnderstanding Large Language Models (LLMs)
  • What LLMs are & common use cases
  • Tokens & next-token prediction
  • Pretraining, datasets & scaling laws
  • Context window & compute requirements
Slides
8 QuantumBasic of Quantum Computing (Part 2)
  • Quantum measurement mechanics
  • Device ecosystems & QPUs
  • Quantum software stack (Qiskit)
  • Hardware noise & decoherence
Slides
9 LLMsUnderstanding the 4 Main Approaches to LLM Evaluation
  • Foundations of LLM evaluation
  • Multi-dimensional quality & failure modes
  • Benchmark & verifier-based evaluation
  • Human preference & LLM-as-a-judge
  • Paradigm trade-offs
Slides
10 ML Fund.Hyperparameter Tuning: Controlling and Improving Neural Network Training
  • What are hyperparameters?
  • Learning rate, batch size & epochs
  • Tuning strategies
Slides
11 ML Fund.Regularization Techniques: Preventing Overfitting and Improving Generalization
  • Overfitting & underfitting
  • Dropout, L1 & L2 regularization
  • Generalization strategies
Slides
12 ML Fund.How Neural Networks Improve: Optimization Algorithms and Learning Dynamics
  • Gradient descent variants
  • Adam, SGD & momentum
  • Learning dynamics & convergence
13 ML Fund.Backpropagation: How Neural Networks Learn Through Gradient Flow
  • Backpropagation algorithm
  • Gradient flow & chain rule
  • Weight updates
Slides
14 QuantumBasic of Quantum Computing (Part I)
  • Introduction to quantum computing
  • Mathematical language of qubits
  • Superposition, entanglement & interference
  • Quantum circuits & operations
Slides
15 AI ToolsN8N Workflow Automation: From Fundamentals to AI Integration
  • N8N architecture, nodes & workflows
  • Hands-on pipelines
  • LLM & RAG integration
  • Real-world use cases
Slides
16 ML Fund.Activation Functions and Loss Functions: Enabling Learning in Neural Networks
  • Activation functions
  • Loss functions
  • Neural network learning
Slides
17 ML Fund.Model Architecture and Forward Propagation: How Neural Networks Are Structured and Compute Predictions
  • Neural network architecture
  • Forward propagation
  • Prediction computation
Slides
18 AI ToolsAnthropic Products and Features
  • Anthropic background
  • Claude model use cases
  • Claude web interface
  • Claude Code CLI & desktop
  • Key Claude Code features
Slides
19 AI ToolsUnderstanding 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
20 AI ToolsOpenAI Products and Features
  • OpenAI introduction
  • ChatGPT products & use cases
  • Sora & Codex
  • OpenAI platform & developer ecosystem
Slides
21 ML Fund.Foundations of Building Machine Learning Models
  • Problem definition
  • Data handling & preprocessing
Slides
22 LLMsPAPER : Attention is all you need
  • Transformer overview & architecture
  • Encoder
  • Methodology & results
  • Model behavior analysis
Slides Paper
23 VisionDeep 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
24 ResearchMastering Data Storytelling and Visualization in Power BI
  • Plot types & interpretation
  • Power BI
  • Data storytelling for publications
Slides
25 LLMsUnderstanding fundamentals of Prompt Engineering
  • Prompt engineering definition
  • Mechanics of LLM prompting
  • Core components of a prompt
  • Chain-of-Thought (CoT)
Slides
26 LLMsAn Introduction to NL2SQL
  • NL2SQL core ideas & pipeline
  • Models & schema encoding
  • Applications & challenges
Slides
27 VisionUnderstanding Computer Vision and Applications
  • Computer vision overview
  • Image classification
  • Object detection & tracking
  • Object segmentation
  • Pose estimation
Slides
28 ResearchUnderstanding Journal Indexing and Publication Metrics
  • Journal indexing databases
  • Impact Factor vs. CiteScore
  • Author-level metrics (h-index)
  • Google Scholar
Slides
29 ResearchUnderstanding Basic LaTeX
  • What is LaTeX?
  • Essential commands
  • Structuring a document
  • Citations & bibliography
  • Creating a PDF
Slides
30 ResearchUnderstanding Submission and Revision Processes
  • Choosing a journal
  • Formatting for submission
  • Peer review process
  • Responding to reviewer comments
  • Final proofreading & publication
Slides
31 ResearchCitation and Reference Management
  • Citation styles
  • Manual citation
  • Reference management systems
  • Creating a bibliography
Slides
32 ResearchUnderstanding Research Paper Structure
  • Research paper structure overview
  • Description of each section
  • Sample journal walkthrough
Slides
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