verified_user
Target Output
Weekly Production Deliverable
Deliverable: Heaps fully done. Structural Design Patterns done. You've read the Transformer paper after having built one yourself. LangChain + a vector database are set up.
Monday
0 / 2 done
DSA
Heaps (Theory Video); Heapify Algorithm
1.5h
AI/ML
Research Paper: "Attention Is All You Need"
Read the foundational paper: "Attention Is All You Need" (Vaswani et al., arxiv.org/abs/1706.03762) — read cold, mapping equations directly to the nanoGPT code you built in Week 22
2.5h
Tuesday
0 / 2 done
DSA
Build heap from a given Array; Implement Min Heap
1.5h
CORE
Structural Design Patterns 1
Adapter Pattern, Decorator Pattern, Facade Pattern + Real-world use cases, UML diagrams, Java code implementations + Quiz
2.5h
Wednesday
0 / 2 done
DSA
Implement Max Heap; Check if an array represents a min heap
1.5h
AI/ML
Karpathy: "Let's reproduce GPT-2"
Karpathy Zero to Hero: Architecture alignment (GPT-2 124M weights/biases, GELU activations), DataLoader at scale, distributed data parallel training intuition, mixed precision (fp16/bf16), learning rate warmup
2.5h
Thursday
0 / 2 done
DSA
Convert Min Heap to Max Heap; Heap Sort
1.5h
CORE
Structural Design Patterns 2
Composite Pattern, Proxy Pattern, Bridge Pattern, Flyweight Pattern + Java code implementations + Quiz
2.5h
Friday
0 / 2 done
DSA
K-th Largest element in an array
1.5h
AI/ML
Generative AI & LangChain Foundations
Krish Naik — "Complete LangChain Course for Generative AI" (YouTube): Text embeddings, Cosine Similarity, Vector Databases (FAISS, ChromaDB), Document Loaders, Recursive Character Text Splitters
2.5h
⚡
Weekend High-Load Execution
• 8.0h Daily Deep Focus Lab
Saturday
0 / 3 done
DSA
Kth largest element in a stream of running integers
1.5h
AI/ML
Build GPT from Scratch (Karpathy "Let's build GPT") (4.0h)
Code nanoGPT transformer decoder blocks, layer normalization, residual stream, and generation loop in PyTorch.
4.0h
APT
Quant M23 & Verbal/Logical
Quant M23 Geometry (Basic & Advance) + Verbal/Logical Mixed Practice
2.5h
Sunday
0 / 3 done
DSA
Contest + full Heaps revision
1.5h
AI/ML
Train nanoGPT on Shakespeare (4.0h)
Train your scratch GPT model; implement temperature and top-k sampling; generate coherent text; push project to GitHub.
4.0h
APT
Structural Patterns Mastery & RAG Intro
Implement 2 Structural Patterns in Java + build your first local LangChain RetrievalQA chain over a PDF document
2.5h
edit_note
Week 23 Technical Notes & Journal
#LeetCode
#Java
#DSA
#Week23