Advanced Industrial Training

Academy of Technology (TAT)

Bridging the skill gap with intensive, project-based learning. Master the tech stacks that power the modern world.

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Comprehensive Course Syllabus

Detailed 6-month roadmaps designed to make you job-ready for the highest paying roles in tech.

🧠

AI/ML Architect

₹20-50L+

LLMs, Deep Learning, MLOps

View 6-Month Syllabus

Module 1: Mathematical Foundations & Python Weeks 1-3

  • Linear Algebra: Vectors, Matrices, Eigenvalues, SVD
  • Calculus: Derivatives, Gradients, Neural Network Math
  • Probability: Bayesian Stats, Distributions, hypothesis testing
  • Python: Advanced Decorators, NumPy Vectorization, Pandas

Module 2: Classical Machine Learning Weeks 4-7

  • Supervised: Regression, SVMs, Decision Trees, Random Forests
  • Unsupervised: K-Means, DBSCAN, PCA, t-SNE, Hierarchical
  • Evaluation: Bias-Variance, ROC-AUC, Cross-Validation

Module 3: Deep Learning Architectures Weeks 8-12

  • Neural Networks: Backprop, Optimizers (Adam, SGD)
  • CNNs: ResNet, VGG, Inception, Transfer Learning
  • RNNs: LSTMs, GRUs, Seq2Seq Models, Time Series Analysis
  • Frameworks: PyTorch & TensorFlow Deep Dive

Module 4: Advanced NLP & Vision Weeks 13-17

  • NLP: Word Embeddings, Attention Is All You Need, Transformers
  • LLM Foundations: BERT, GPT Architectures, HuggingFace
  • Vision: Object Detection (YOLO), Segmentation (U-Net)

Module 5: MLOps & Production Weeks 18-21

  • Model Serving: FastAPI, TensorFlow Serving, TorchServe
  • Containerization: Docker for ML, Kubernetes Orchestration
  • Pipelines: MLflow, Kubeflow, Feature Stores, Model Registry

Module 6: Enterprise Capstone Weeks 22-26

  • End-to-End System Design: Data Ingestion to Inference
  • Cloud Deployment: AWS SageMaker / Vertex AI
  • Final Project: "Healthcare Diagnostic AI" or "FinTech Fraud System"
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✨

GenAI Engineer

₹15-40L

Prompt Engineering, LangChain, RAG

View 6-Month Syllabus

Module 1: GenAI Fundamentals Weeks 1-4

  • Generative Models: VAEs, GANs, Diffusion Models
  • Transformer Architecture: Self-Attention, Encoders/Decoders
  • Tokenization: BPE, WordPiece, Embeddings (OpenAI, Cohere)

Module 2: Advanced Prompt Engineering Weeks 5-8

  • Techniques: Chain-of-Thought (CoT), ReAct, Tree of Thoughts
  • Optimization: Auto-Prompting, Prompt Chaining, Output Parsers
  • Security: Prompt Injection Defense, Guardrails

Module 3: RAG & Vector Search Weeks 9-13

  • Vector DBs: Pinecone, Weaviate, Chroma, Hybrid Search
  • Orchestration: LangChain Deep Dive, LlamaIndex Patterns
  • RAG Pipelines: Chunking Strategies, Re-ranking, Context Windows

Module 4: LLM Fine-Tuning Weeks 14-17

  • Techniques: PEFT, LoRA, QLoRA, Soft Prompting
  • RLHF: Reward Models, PPO, DPO (Direct Preference Opt)
  • Data: Dataset Curation, Instruct-Tuning formatting

Module 5: Agents & Integration Weeks 18-21

  • Autonomous Agents: Planning, Memory, Tool Use
  • Multi-Modal: Vision-Language Models (CLIP, LLaVA), Audio Gen
  • Frameworks: AutoGPT, BabyAGI, Custom Agent Loops

Module 6: Production GenAI App Weeks 22-26

  • Optimization: Quantization, vLLM, TGI, Latency Reduction
  • Evaluation: RAGAS, TruLens, Human Eval frameworks
  • Capstone: "Enterprise Knowledge Assistant with Citations"
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☁️

Cloud Architect

₹18-35L

AWS, Azure, GCP, Kubernetes

View 6-Month Syllabus

Module 1: Cloud & Network Core Weeks 1-4

  • Networking: OSI Model, TCP/IP, DNS, CDNs, VPNs
  • Linux: Kernel Tuning, Bash Scripting, Systemd Services
  • Identity: IAM Roles, Policies, Federation, SSO

Module 2: AWS Advanced Architecting Weeks 5-8

  • Compute: EC2 Auto-scaling, Lambda Serverless patterns
  • Storage: S3 Lifecycle policies, EBS/EFS Performance
  • Database: RDS Multi-AZ, Aurora, DynamoDB Design Patterns

Module 3: Multi-Cloud (Azure/GCP) Weeks 9-12

  • Azure: VNet Peering, Active Directory, App Service
  • GCP: Compute Engine, BigQuery basics, GKE
  • Hybrid: Direct Connect, ExpressRoute, VPN Gateways

Module 4: Container Orchestration Weeks 13-17

  • Docker: Multistage Builds, Networking, Registry
  • Kubernetes: Cluster Arch, Pods, Services, Ingress, PV/PVCs
  • Helm: Packaging, Charts, Release Management

Module 5: Operations & Security Weeks 18-21

  • IaC: Terraform State management, Modules, Providers
  • Security: KMS, WAF, Shield, Compliance (HIPAA/PCI)
  • Observability: CloudWatch, Datadog, Prometheus

Module 6: Architect Capstone Weeks 22-26

  • Design Requirement: "Global Streaming Platform Architecture"
  • Deliverables: Architecture Diagrams, Terraform Code, Cost Est.
  • Review: Well-Architected Framework Pillars Defense
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📊

Data Scientist/Engineer

₹12-25L

Python, SQL, ML, Big Data

View 6-Month Syllabus

Module 1: Advanced Data Programming Weeks 1-4

  • Python: OOP, Functional Programming, PyTest
  • SQL: Window Functions, CTEs, PL/SQL, Performance Tuning
  • NoSQL: MongoDB Data Modeling, Indexing Strategies

Module 2: Data Analysis & Visualization Weeks 5-8

  • EDA: Missing Value Imputation, Outlier Detection
  • Viz Tools: Tableau Dashboards, PowerBI Data Modeling
  • Libraries: Plotly, Seaborn, Matplotlib customization

Module 3: Statistics & Machine Learning Weeks 9-13

  • Stats: A/B Testing, Hypothesis Testing, Confidence Intervals
  • Algorithms: Linear/Logistic, Trees, Gradient Boosting
  • Feature Eng: Encoding, Scaling, Feature Selection

Module 4: Big Data Engineering Weeks 14-17

  • Ecosystem: Hadoop HDFS, MapReduce concepts
  • Spark: PySpark, RDDs vs Dataframes, SparkSQL
  • Warehousing: Snowflake Architecture, Redshift copy

Module 5: Data Pipelines & Governance Weeks 18-21

  • Orchestration: Apache Airflow DAGs, Scheduling
  • Streaming: Apache Kafka Producers/Consumers, Windowing
  • Governance: Data Quality (Great Expectations), Catalogs

Module 6: Data Ops Capstone Weeks 22-26

  • Project: "Real-time Crypto Trading Analytics System"
  • Stack: Kafka -> Spark Streaming -> Snowflake -> Tableau
  • Deployment: Dockerized Airflow on Cloud
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💻

Full Stack Developer

₹8-20L

MERN/MEAN, APIs, React

View 6-Month Syllabus

Module 1: Web Foundations & JS Core Weeks 1-4

  • HTML/CSS: Semantic HTML, CSS Grid/Flexbox, BEM methodology
  • JavaScript: Event Loop, Closures, Async/Await, ES6+ features
  • Tools: Webpack, Babel, Git, Chrome DevTools mastery

Module 2: Advanced React Ecosystem Weeks 5-8

  • React Core: Hooks (useEffect, useMemo), Context API, Portals
  • State Mgmt: Redux Toolkit (Thunks, Slices), Zustand
  • Styling: TailwindCSS, Framer Motion, Styled Components
  • Optimization: Code Splitting, Lazy Loading, Profiler

Module 3: Backend Engineering Weeks 9-13

  • Node.js: Runtime Internals, Streams, Buffers, Event Emitter
  • API: RESTful Design, GraphQL (Apollo), Express Middleware
  • Databases: PostgreSQL (Complex Joins), MongoDB (Aggregations), Redis
  • ORM: Prisma Schema Design, Migrations

Module 4: Next.js & Modern Frameworks Weeks 14-17

  • Next.js: SSR vs SSG vs ISR, App Router, Server Actions
  • Auth: NextAuth.js, JWT, OAuth Providers (Google/GitHub)
  • Deployment: Vercel/Netlify, Edge Functions

Module 5: Testing & Security Weeks 18-21

  • Testing: Unit (Jest), Integration (React Testing Library), E2E (Cypress)
  • Security: OWASP Top 10, XSS/CSRF Prevention, Rate Limiting
  • Performance: Core Web Vitals, LightHouse Optimization

Module 6: Full Stack Capstone Weeks 22-26

  • Project: "SaaS Platform with Payments (Stripe) & Real-time Chat"
  • Architecture: Microservices vs Monolith decision
  • Development: CI/CD Pipeline Setup for Automated Deployment
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⚙️

DevOps Engineer

₹10-22L

CI/CD, Docker, Terraform

View 6-Month Syllabus

Module 1: Systems & Networking Weeks 1-4

  • Linux: Boot Process, Kernel Tuning, Storage Mgmt (LVM)
  • Networking: Subnetting, CIDR, Load Balancers, Firewalls
  • Bash/Python: Automating Admin Tasks, Error Handling

Module 2: CI/CD & Version Control Weeks 5-8

  • Git: Gitflow, Rebase vs Merge, Hooks
  • CI Tools: Jenkins (Groovy Pipelines), GitHub Actions
  • Strategies: Blue-Green Deployments, Canary Releases

Module 3: Containerization Weeks 9-12

  • Docker: Internal Arch, Networking Drivers, Storage Drivers
  • Security: Container Signing, Scanning (Trivy), Distroless Images
  • Optimisation: Multi-stage Builds, Layer Caching

Module 4: Kubernetes Administration Weeks 13-17

  • Core: API Server, Etcd, Scheduler, Kubelet
  • Workloads: StatefulSets, DaemonSets, Jobs/CronJobs
  • Networking: CNI Plugins (Calico/Flannel), Ingress Controllers
  • Package Mgmt: Helm Charts, Kustomize

Module 5: IaC & Observability Weeks 18-21

  • Terraform: State Locking, Workspaces, Module Design
  • Ansible: Playbooks, Roles, Inventory Mgmt
  • Monitoring: Prometheus PromQL, Grafana Dashboards
  • Logging: ELK Stack (Elastic, Logstash, Kibana)

Module 6: DevSecOps Capstone Weeks 22-26

  • Project: "Zero-Downtime Microservices Platform"
  • GitOps: ArgoCD Implementation
  • Security: Vault Integration, Service Mesh (Istio) Basics
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🏗️

Platform Engineer

₹15-30L

Infrastructure, Automation

View 6-Month Syllabus

Module 1: Platform Principles Weeks 1-4

  • Concepts: Platform as a Product, Cognitive Load Reduction
  • Golang: Concurrency (Goroutines), Interfaces for Ops Tooling
  • Architecture: Microservices vs Service-Oriented Arch

Module 2: Kubernetes Patterns Weeks 5-8

  • Extending K8s: Custom Resource Definitions (CRDs)
  • Operators: Building Custom Operators (Kubebuilder)
  • Service Mesh: Istio Architecture, Traffic Shifting, mTLS

Module 3: Internal Developer Platforms Weeks 9-13

  • Backstage: Plugin Architecture, Software Catalog
  • Self-Service: Scaffolding, Golden Paths, Templates
  • Automation: Crossplane for Composable Infrastructure

Module 4: SRE & Reliability Weeks 14-17

  • Metrics: SLIs, SLOs, Error Budgets calculation
  • Resilience: Circuit Breakers, Bulkheads, Retry Logic
  • Chaos Eng: Chaos Mesh, LitmusChaos experiments

Module 5: GitOps & Policy Weeks 18-21

  • GitOps: FluxCD vs ArgoCD deep dive, App of Apps pattern
  • Policy as Code: OPA (Open Policy Agent), Gatekeeper, Kyverno
  • Cost Ops: FinOps principles, Kubecost integration

Module 6: IDP Capstone Weeks 22-26

  • Project: "Enterprise Self-Service Cloud Portal"
  • Stack: Backstage + ArgoCD + Crossplane + AWS
  • Goal: One-click Environment Provisioning for Devs
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🤖

Agentic AI Specialist

₹18-45L

Autonomous AI Systems

View 6-Month Syllabus

Module 1: Foundations of Agency Weeks 1-4

  • Theory: Perception-Action Loops, Environment Interaction
  • LLMs as Brains: Reasoning Traces, Inner Monologue patterns
  • Architecture: ReAct (Reasoning + Acting) Paradigm

Module 2: Tool Use & Functions Weeks 5-8

  • Function Calling: OpenAI JSON Mode, Tool Definitions
  • Integration: Connecting to APIs, SQL DBs, File Systems
  • Planning: Task Decomposition, DAGs, Tree of Thoughts

Module 3: Frameworks Deep Dive Weeks 9-13

  • LangGraph: State Management, Cycles, Conditional Edges
  • AutoGen: Multi-Agent Conversations, User Proxy Agents
  • CrewAI: Role-based Agents (Researchers, Writers)

Module 4: Cognitive Architectures Weeks 14-17

  • Memory: Short-term (Context), Long-term (Vector Store), Episodic
  • Reflection: Self-Correction loops, Critic Agents
  • Learning: In-context Learning, Skill Libraries

Module 5: Safety & Evaluation Weeks 18-21

  • Control: Human-in-the-loop (HITL) approval flows
  • Safety: Sandboxed Execution (Docker/Firecracker), Guardrails
  • Eval: AgentBench, Trajectory Eval, cost monitoring

Module 6: Autonomous Swarm Capstone Weeks 22-26

  • Project: "Devin-like Autonomous Software Engineer"
  • Capabilities: Read Issue -> Plan -> Write Code -> Test -> Fix -> PR
  • Tech: LangGraph + Search Tools + Docker Sandbox
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⛓️

Blockchain Developer

₹10-25L

Smart Contracts, Web3

View 6-Month Syllabus

Module 1: Cryptography & Blockchain Weeks 1-4

  • Crypto: SHA-256, Elliptic Curve (ECDSA), Merkle Trees
  • Architecture: P2P, Nodes, Mempool, Finality, Forks
  • Consensus: Proof of Work (Nakamoto) vs Proof of Stake (Gasper)

Module 2: Solidity Mastery Weeks 5-8

  • Core: Data Locations (Memory/Storage/Calldata), Mappings
  • Advanced: Inheritance, DelegateCall, Fallback/Receive, Yul Basics
  • Optimization: Gas Saving Techniques, Storage Packing

Module 3: Smart Contract Security Weeks 9-12

  • Vulnerabilities: Reentrancy, Overflow, Front-running, tx.origin
  • Auditing: Slither, Mythril, Manual Code Review patterns
  • Hacks Analysis: The DAO, Parity Wallet, Poly Network

Module 4: dApp Development Stack Weeks 13-17

  • Frameworks: Hardhat vs Foundry (Cheatcodes, Fuzzing)
  • Frontend: React + Wagmi + RainbowKit + Viem
  • Indexing: The Graph (Subgraphs), Alchemy API

Module 5: DeFi & NFT Mechanics Weeks 18-21

  • Token Standards: ERC-20, ERC-721, ERC-1155, ERC-4626
  • DeFi: Uniswap (CPAMM), Aave (Lending), Staking logic
  • Oracles: Chainlink Feeds, VRF (Randomness)

Module 6: Web3 Capstone Weeks 22-26

  • Project: "Decentralized Crowdfunding DAO"
  • Features: Proposal Creation, Token Voting, Treasury Management
  • Deploy: Goerli/Sepolia Testnet, Verification on Etherscan
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The TAT Advantage

We believe in learning by doing. Our training centers are equipped with the latest infrastructure to provide a real office-like environment for our students.

  • Mentorship by Experts

    Learn from professionals with decades of industrial experience.

  • Simulation Labs & Internships

    Train on advanced Cyber Security & AI Softwares before moving to mandatory internships with Treneywann Software Solutions (TSS).

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