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Engineering Specialization Tracks
Every track runs chronologically from core principles to production systems, organized into modular chapters with interactive quizzes and real-time progress validation.
Artificial Intelligence
From symbolic AI and statistical learning to deep networks, transformers, LLMs and production model operations.
Blockchain & Web3
The full Yashotantra Academy blockchain curriculum: ledgers and consensus, Ethereum and the EVM, Solidity, Layer 2s, DeFi and smart-contract security.
Cloud Computing
Virtualization, core infrastructure, containers and Kubernetes, serverless, IaC, and multi-cloud architecture on AWS, Azure and GCP.
Data Science & Engineering
SQL and NoSQL, data modelling, pipelines and orchestration, big-data engines, statistics, analytics, and the Python and R toolchains.
System Design & Distributed Systems
Design and architect resilient, high-throughput distributed systems: consensus algorithms, consistent hashing, caching, rate limiters, partition strategies, and microsecond telemetry.
DevOps & Cloud Orchestration
Master production Infrastructure as Code (Terraform), Docker multi-stage optimization, Kubernetes pod lifecycles, and zero-downtime CI/CD pipelines.
MLOps & Model Lifecycle Engineering
Productionize machine learning: feature stores, experiment registries (MLflow), automated drift detection, GPU inference scaling, and Triton serving.
Prompt Engineering & Deterministic Agents
Master prompt architecture: Chain-of-Thought, ReAct autonomous loops, DSPy programmatic compilation, and structured JSON output validation.
LLM Fundamentals & Vector RAG Systems
Master the modern AI stack: self-attention mechanics, RoPE embeddings, ChromaDB chunking, hybrid BM25 + dense search, cross-encoder reranking, and evaluation harnesses.
Smart Contract Auditing & Security
Master Web3 security: re-entrancy vectors, flash loan oracle manipulation, static analysis (Slither), property-based fuzzing (Echidna/Foundry), and formal verification.
Zero-Knowledge Proofs & Cryptography
Master mathematical zero-knowledge architectures: finite fields, polynomial commitments, arithmetic circuits, SNARKs/STARKs, Succinct SP1 zkVM, and validity rollups.
Forward Deployed & Full-Stack AI
Bridge technical architecture and real-world deployment: edge runtimes, AI SDK streaming, serverless vectors, and rapid production engineering.
Salesforce Admin & Developer Career
Job-ready Salesforce skills: the data model, security, Flow automation, Apex, SOQL, Lightning Web Components, testing and deployment.