Citadel Cloud Management — Skill Stack · Free Courses & Premium Blueprints

🔹 Track A · Foundational

📅 9 skill areas

⚡ Non-negotiable

✓ Free

Software Engineering — The Non-Negotiable Foundation

Strong engineering fundamentals or your products won't scale. This track covers everything from DSA to full-stack frameworks used in real enterprise and SaaS products. Skip this and your cloud skills have no home.

DSASystem DesignREST/GraphQL/gRPC Node.js / NestJSFastAPI / Django React / Next.jsPostgreSQLMongoDBRedis

📚 Modules & Learning Paths

▾

1

Data Structures & Algorithms
TheAlgorithms/Python — Every DSA in Python (GitHub)GitHubFREE

2

System Design (Distributed Systems, CAP Theorem, Caching)
donnemartin/system-design-primer — 260K⭐ (GitHub)GitHub

3

API Design — REST, GraphQL, gRPC
microsoft/api-guidelines — REST API Design (GitHub) · GraphQL Official LearnOfficial

4

Node.js — Express & NestJS
nestjs/nest — Progressive Node.js FrameworkGitHub + NestJS Full Course (YouTube)Video

5

Python — FastAPI & Django
tiangolo/fastapi — High-perf Python API frameworkGitHub · FastAPI Official TutorialFREE

6

Frontend — React & Next.js (SSR, ISR)
vercel/next.js — The React Framework for ProductionGitHub · Next.js Official Learn (Free)FREE

7

PostgreSQL (OLTP) + MongoDB (NoSQL) + Redis (Caching)
PostgreSQL Official Tutorial · MongoDB University (Free) · Redis Getting Started

8

SaaS Full-Stack Starters (Production-Grade)
vercel/nextjs-subscription-payments — SaaS StarterGitHub · supabase/supabase — Open Source Firebase AltGitHub

9

Real SaaS Study — Cal.com
calcom/cal.com — Study a real production SaaS codebaseGitHub · 28K⭐ · Full Next.js + Prisma + tRPC

🔬 Hands-On Implementation Steps

▾

1

Clone & Run the Next.js SaaS Starter

git clone https://github.com/vercel/nextjs-subscription-payments && cd nextjs-subscription-payments && npm install → Create a Supabase project (free) → Add .env.local with Supabase URL + anon key + Stripe keys → npm run dev

✓ Verify: localhost:3000 shows full SaaS app with auth and billing UI

2

Build a FastAPI Endpoint with Auto Docs

pip install fastapi uvicorn → Create main.py: from fastapi import FastAPI; app = FastAPI(); @app.get("/health") def health(): return {"status":"ok"} → uvicorn main:app --reload

✓ Verify: Interactive API docs auto-generated at localhost:8000/docs

3

Design a PostgreSQL Schema for a SaaS Product

Create tables: users, subscriptions, products, api_keys. Add indexes, foreign keys, row-level security. Use drawdb.app for visual schema design. Run migrations with npm run db:push (Prisma) or alembic upgrade head (SQLAlchemy).

✓ Verify: SELECT table_name FROM information_schema.tables WHERE table_schema='public' returns all tables

4

Set Up Redis for API Rate Limiting & Session Caching

docker run -p 6379:6379 redis:alpine → pip install redis → Implement rate limiter: check key ratelimit:IP in Redis, increment, set TTL 60s, reject if > 100 requests. Or use Upstash Redis (free serverless Redis).

✓ Verify: redis-cli PING returns PONG; rate limiter blocks 101st request

Resource Nodes

⭐ System Design Primer 🚀 Next.js SaaS Starter 🗄️ Supabase 🐍 FastAPI ⬡ NestJS 📅 Cal.com (Study) 🧮 Algorithms 🎓 Next.js Learn 📖 MongoDB University 🗺️ Backend Roadmap

✓ 100% Free · Open to all

Start Learning →

🔹 Track B · Your Strength Area

📅 11 skill areas

⚡ Enterprise Differentiator

✓ Free

Cloud & DevSecOps — What Separates Hobby from Enterprise

This is the layer that transforms hobby projects into production-grade systems trusted by Fortune 500 companies and governments. Kubernetes, Terraform, observability, and security — all with real implementation patterns from live enterprise deployments.

AWS / Azure / GCPKubernetes (EKS/AKS/GKE)Terraform GitHub ActionsArgoCDPrometheusGrafana OpenTelemetryZero TrustVaultIAM

📚 Modules & GitHub Repos

▾

1

AWS / Azure / GCP Architecture
AWS Architecture Center · Azure Architecture Center · GCP ArchitectureOfficial

2

Kubernetes (EKS / AKS / GKE)
kubernetes/kubernetes — Source of truthGitHub · kubernetes-the-hard-way (Kelsey Hightower)Lab

3

Terraform (IaC)
hashicorp/terraform — The IaC toolGitHub · Official Terraform Tutorials (Free)FREE

4

CI/CD — GitHub Actions + ArgoCD (GitOps)
argoproj/argo-cd — GitOps for KubernetesGitHub · actions/starter-workflows — CI/CD templatesGitHub

5

Observability — Prometheus + Grafana + OpenTelemetry
prometheus/prometheusGitHub · grafana/grafanaGitHub · OpenTelemetry Docs

6

Security — Zero Trust Architecture
NIST SP 800-207 Zero Trust ArchitectureNIST · CISA Zero Trust Maturity Model

7

IAM Policies + Secrets Management
hashicorp/vault — Secrets managementGitHub · open-policy-agent/opa — Policy as CodeGitHub

8

Container Security + DevSecOps Scanning
aquasecurity/trivy — Container vuln scannerGitHub · Scan in CI: detects CVEs, misconfigs, secrets, SBOMLab

🔬 Hands-On Implementation Steps

▾

1

Deploy a Kubernetes Cluster + Helm App

kind create cluster --name citadel-dev (local) or eksctl create cluster --name citadel --region us-east-1 --nodegroup-name workers --node-type t3.medium --nodes 2 (AWS) → helm repo add bitnami https://charts.bitnami.com/bitnami && helm install citadel-wp bitnami/wordpress

✓ Verify: kubectl get pods -A shows all pods Running

2

Set Up ArgoCD for GitOps

kubectl create namespace argocd && kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml

→ kubectl port-forward svc/argocd-server -n argocd 8080:443 → Log in → Connect your GitHub repo → Create Application → Sync.

✓ Verify: ArgoCD UI shows application Synced + Healthy; push a config change, watch it auto-deploy

3

Run Vault for Secrets Management

docker run --cap-add=IPC_LOCK -p 8200:8200 vault:latest server -dev → export VAULT_ADDR='http://127.0.0.1:8200' → vault kv put secret/citadel db_password="SuperSecure123" api_key="sk-..." → vault kv get secret/citadel

✓ Verify: Secrets retrieved via Vault API; no secrets in code or environment variables

4

Add Trivy to GitHub Actions Pipeline

Add to .github/workflows/security.yml: - uses: aquasecurity/trivy-action@master with: image-ref: your-image:latest severity: 'CRITICAL,HIGH' exit-code: '1' → Push → Pipeline fails on CVEs automatically.

✓ Verify: PR fails when image has CRITICAL vulnerabilities; passes after remediation

5

Deploy Prometheus + Grafana Stack

helm repo add prometheus-community https://prometheus-community.github.io/helm-charts && helm install kube-prometheus prometheus-community/kube-prometheus-stack -n monitoring --create-namespace

→ Port-forward Grafana → Import dashboard ID 315 (Kubernetes cluster dashboard).

✓ Verify: Grafana shows real-time CPU/memory metrics; Prometheus scraping all pods

Resource Nodes

⎈ kubernetes/kubernetes 📦 hashicorp/terraform 🔄 argoproj/argo-cd 🔐 hashicorp/vault ⚖️ open-policy-agent/opa 🛡️ aquasecurity/trivy 📊 prometheus 📈 grafana 🧪 Play with AWS 🗺️ DevOps Roadmap

✓ 100% Free · Your strength area

Start Learning →

🔹 Track C · Critical for Modern Products

📅 10 skill areas

⚡ Highest demand 2025-26

✓ Free

AI & LLM Engineering — Critical for Modern Products

Prompt engineering, RAG pipelines, vector databases, multi-agent frameworks, and fine-tuning. The complete AI engineering stack from API calls to production deployment. Covers Claude, OpenAI, LangChain, CrewAI, Weaviate, Pinecone, and FAISS with real enterprise patterns.

Prompt EngineeringRAGPineconeWeaviateFAISS LangChainLlamaIndexAutoGenCrewAI Claude APIOpenAIFine-tuning (LoRA)

📚 Modules & GitHub Repos

▾

1

Prompt Engineering
dair-ai/Prompt-Engineering-Guide — 46K⭐GitHub · Anthropic Prompt Engineering GuideOfficial

2

RAG — Retrieval-Augmented Generation
langchain-ai/langchain — RAG pipelines + agentsGitHub · Full RAG tutorial at python.langchain.com/docs/tutorials/rag

3

Vector Databases — Pinecone, Weaviate, FAISS
weaviate/weaviate — Open-source vector DBGitHub · pinecone-io/examples — Production RAG patternsGitHub · facebookresearch/faiss — Local vector search

4

LlamaIndex — Advanced RAG & Knowledge Graphs
run-llama/llama_index — Data framework for LLMsGitHub · LlamaIndex DocsDocs

5

AutoGen — Multi-Agent AI Systems
microsoft/autogen — Multi-agent conversation frameworkGitHub · Microsoft Research · 31K⭐

6

CrewAI — Production Multi-Agent Crews
joaomdmoura/crewAI — Role-based AI agentsGitHub · CrewAI DocsFREE

7

OpenAI & Anthropic Claude APIs
openai/openai-cookbook — Production AI patternsGitHub · anthropics/anthropic-cookbookGitHub

8

Fine-Tuning & Evaluation Pipelines (LoRA/PEFT)
huggingface/transformers — 130K⭐ Model hubGitHub · huggingface/peft — LoRA & PEFT fine-tuningLab

9

Chroma — Local/Cloud Vector DB
chroma-core/chroma — AI-native open-source vector DBGitHub · Best for local dev; pip install chromadb

🔬 Hands-On Implementation Steps

▾

1

Build a Production RAG System (LangChain + Weaviate)

pip install langchain langchain-anthropic langchain-weaviate weaviate-client → Load PDF docs → Split into chunks (RecursiveCharacterTextSplitter, chunk_size=512) → Generate embeddings (Claude or OpenAI) → Store in Weaviate → Build RetrievalQA chain → Query with sources.

✓ Verify: Questions return grounded answers with source document citations

2

Deploy a CrewAI Multi-Agent System

pip install crewai crewai-tools → Define: Researcher Agent (searches web) + Writer Agent (drafts content) + Editor Agent (reviews) → Define Tasks with expected_output → crew.kickoff(inputs={"topic": "AWS Cost Optimization Africa"})

✓ Verify: 3 agents collaborate and produce a researched, written, and edited report

3

Index Documents in Pinecone for Production Search

pip install pinecone-client openai → Create index at app.pinecone.io (free 1M vectors) → pc = Pinecone(api_key="..."); index = pc.Index("citadel-docs") → Embed documents → Upsert vectors → Query with metadata filters.

✓ Verify: Semantic search returns relevant results in <100ms latency

4

Fine-Tune a Small LLM with LoRA

pip install transformers peft datasets accelerate bitsandbytes → Load Llama-3-8B in 4-bit → Configure LoRA (r=16, alpha=32, target_modules=["q_proj","v_proj"]) → Train on your domain dataset 1 epoch → Merge adapter → Push to HuggingFace Hub

✓ Verify: Fine-tuned model outperforms base on domain eval; perplexity decreases

Resource Nodes

🔗 langchain-ai/langchain 🤖 microsoft/autogen 👥 joaomdmoura/crewAI 📓 openai/openai-cookbook 🔮 weaviate/weaviate 📌 pinecone-io/examples 🎨 chroma-core/chroma 🤗 HuggingFace ⚡ PEFT / LoRA 🔸 Anthropic Docs

✓ 100% Free · Highest ROI track

Start Learning →

🔹 Track D · Data Engineering

📅 6 skill areas

⚡ Foundation for AI products

✓ Free

Data Engineering — The Foundation Your AI Runs On

ETL pipelines, data lakes, streaming architectures, and feature engineering for AI. Without solid data engineering, your RAG pipelines have nothing to retrieve and your ML models have nothing to train on. Covers Airflow, Prefect, S3, BigQuery, and Kafka.

ETL PipelinesApache AirflowPrefect Data Lakes (S3 / BigQuery)Kafka Streaming Data ModelingFeature Engineering for AI

📚 Modules & GitHub Repos

▾

1

ETL Pipelines — Apache Airflow
apache/airflow — Workflow orchestration platformGitHub · Airflow Tutorial (Official Free)FREE

2

Modern Workflow Orchestration — Prefect
PrefectHQ/prefect — Modern Airflow alternativeGitHub · pip install prefect · Free cloud tier available

3

Data Lakes — AWS S3 + BigQuery
AWS S3 Documentation · BigQuery Docs · delta-io/delta — Delta Lake open sourceGitHub

4

Streaming Data — Apache Kafka
Kafka Quickstart (Official) · confluentinc/confluent-kafka-pythonGitHub · Kafka Fundamentals (Free)

5

BI & Analytics — Metabase
metabase/metabase — Open source BI (free self-host)GitHub · 37K⭐ · Connect to Postgres, BigQuery, Snowflake

6

Feature Engineering for ML
Kaggle — Feature Engineering Course (Free)FREE · feast-dev/feast — Feature store for MLGitHub

🔬 Hands-On Implementation Steps

▾

1

Run Apache Airflow Locally

pip install apache-airflow==2.9.0 && airflow db init && airflow users create --username admin --password admin --role Admin --email admin@citadel.com && airflow webserver -p 8080 & airflow scheduler

→ Access at localhost:8080

✓ Verify: Airflow UI shows example DAGs; trigger one and confirm it runs green

2

Build an ETL DAG: API → S3 → BigQuery

Create citadel_pipeline_dag.py with 3 tasks: (1) PythonOperator: fetch data from REST API → save to S3 with boto3; (2) PythonOperator: transform with pandas; (3) BigQueryInsertJobOperator: load to BigQuery table. Schedule: @daily

✓ Verify: DAG runs without errors; data appears in BigQuery table

3

Set Up Kafka for Real-Time Event Streaming

docker-compose up -d with Zookeeper + Kafka + Kafka UI → Create topic: kafka-topics.sh --create --topic user-events --partitions 3 --replication-factor 1 → Produce events: kafka-console-producer.sh --topic user-events --bootstrap-server localhost:9092

✓ Verify: Kafka UI shows messages flowing through topic in real-time

Resource Nodes

🌊 apache/airflow ⚡ PrefectHQ/prefect 📊 metabase/metabase 🏠 delta-io/delta 🍽️ feast-dev/feast 🏆 Kaggle Learn Free 📄 BigQuery Docs 📡 Kafka Docs

✓ 100% Free · AI backbone

Start Learning →

🔹 Track E · Often Ignored, Critical

📅 5 skill areas

⚡ Drives revenue

✓ Free

Product & Growth Engineering — Often Ignored, Always Critical

CRO, SEO, analytics, A/B testing, and email automation. Engineers who understand growth engineering earn 30-50% more than those who don't. This is what turns great products into profitable businesses. Every engineer building digital products needs this track.

CRO (Conversion Rate Optimization)SEO + Topical Authority GA4MixpanelA/B Testing KlaviyoBrevo

📚 Modules & Tools

▾

1

Conversion Rate Optimization (CRO)
CXL — The Definitive CRO Guide (Free) · Hotjar (Free tier) — Heatmaps, session recordingsFREE

2

SEO — Topical Authority + Internal Linking
Moz — Beginner's Guide to SEO (Free)FREE · Ahrefs SEO Course · Google Search Console (Free)

3

Analytics — GA4 + Mixpanel
Google Analytics Academy (GA4 — Free)FREE · Mixpanel Education Center (Free)FREE

4

A/B Testing Frameworks
growthbook/growthbook — Open-source A/B testingGitHub · Free self-host · Supports feature flags + experiments

5

Email Automation — Klaviyo + Brevo
Klaviyo Academy (Free training)FREE · Brevo Email Marketing Guide · Welcome, cart abandon, win-back flows

🔬 Hands-On Implementation Steps

▾

1

Install GA4 + Mixpanel on Your Next.js App

npm install @next/third-parties mixpanel-browser → GA4: add GoogleAnalytics gaId="G-XXXXXXXXXX" to app/layout.tsx → Mixpanel: mixpanel.init("YOUR_TOKEN"); mixpanel.track("Page View", {page: pathname}) in layout.

✓ Verify: Real-time view in GA4 shows your visit; Mixpanel Event Stream shows events

2

Set Up GrowthBook for A/B Testing

docker run -d -p 3100:3100 growthbook/growthbook → Create experiment (control vs. variant) → Integrate SDK: npm install @growthbook/growthbook-react → Wrap component with <IfFeatureEnabled feature="new-hero"> → Track conversions.

✓ Verify: 50% of users see control, 50% see variant; conversion metrics tracked

3

Build 5 Klaviyo Email Flows

Klaviyo → Flows → Create: (1) Welcome Series (3 emails, D0/D3/D7) → (2) Abandoned Cart (2hrs after add-to-cart, no purchase) → (3) Browse Abandonment (product viewed, no cart) → (4) Post-Purchase (day 1 confirm + day 3 usage guide) → (5) Win-Back (90 days no purchase)

✓ Verify: Send preview emails; all flows show "Live" status in Klaviyo dashboard

Resource Nodes

🧪 growthbook/growthbook 🎓 GA4 Academy Free 🔍 Google Search Console 📖 Moz SEO Guide 📊 Mixpanel Education 📧 Klaviyo Academy 🔥 Hotjar Free

✓ 100% Free · Revenue driver

Start Learning →

🔹 Track F · Monetization Layer

📅 4 skill areas

⚡ Turns skills into revenue

✓ Free

UI/UX + Monetization — Turning Skills into Revenue

UX psychology, pricing models, payment integration, and landing page systems. This is the final layer that connects your technical skills to actual money. Master funnels, retention loops, subscription models, and Africa-compatible payment rails.

UX Psychology (Funnels)Retention Loops Subscriptions / Bundles / UpsellsStripe ShopifyFlutterwaveNext.js Landing Pages

📚 Modules & GitHub Repos

▾

1

UX Psychology — Funnels & Retention Loops
Laws of UX — Free (lawsofux.com)FREE · Free UX Research Resources · Nielsen Norman Group Articles (Free)

2

Pricing Models — Subscription, Bundles, Upsells
Price Intelligently Blog — Free SaaS pricing educationFREE · Stripe Billing DocumentationOfficial

3

Stripe Payment Integration
stripe/stripe-node — Official Node.js SDKGitHub · Stripe Checkout Quickstart (30 min)FREE

4

Shopify + Africa-Compatible Payments
Shopify/shopify-app-template-node — Shopify app starterGitHub · Flutterwave (NGN/GHS/KES/ZAR) + Paystack (NG/GH)

5

Landing Page Systems — Next.js + Webflow Hybrid
vercel/nextjs-subscription-paymentsGitHub · Full landing + pricing + checkout + dashboard in one repo

🔬 Hands-On Implementation Steps

▾

1

Build Stripe Subscription Checkout in Next.js

npm install stripe @stripe/stripe-js → Create products + prices in Stripe Dashboard → Server:

stripe.checkout.sessions.create({ mode:'subscription', line_items:[{price:'price_ID', quantity:1}], success_url:'...', cancel_url:'...' })

→ Client: redirect to checkout session URL

✓ Verify: Test payment with card 4242 4242 4242 4242 → subscription created in Stripe dashboard

2

Implement Stripe Webhook for Subscription Events

Stripe Dashboard → Webhooks → Add endpoint (your URL /api/webhooks/stripe) → Listen for: checkout.session.completed, customer.subscription.updated, invoice.payment_failed → Verify signature: stripe.webhooks.constructEvent(body, sig, process.env.STRIPE_WEBHOOK_SECRET)

✓ Verify: Stripe CLI test: stripe trigger checkout.session.completed → handler fires correctly

3

Add Flutterwave for Africa Payments

npm install flutterwave-node-v3 → Initialize: const Flutterwave = require('flutterwave-node-v3'); const flw = new Flutterwave(PUB_KEY, SEC_KEY) → Create payment: flw.Payment.initiate({tx_ref, amount, currency:'NGN', redirect_url, customer:{email, name}}) → Redirect user to hosted page

✓ Verify: Test NGN payment completes; webhook fires; user subscription activated

4

Design a 3-Tier Pricing Page that Converts

Principles: (1) 3 tiers max (free/pro/enterprise) (2) Annual saves 40%+ → shows annual by default (3) Most popular plan has visual highlight (4) Feature list anchors value not features (5) Add social proof (X users) next to CTA. Build in Next.js with Tailwind — full template in vercel/nextjs-subscription-payments

✓ Verify: Heatmap shows >60% of visitors interact with pricing section before purchasing

Resource Nodes

💳 stripe/stripe-node 🛒 Shopify App Template 🚀 Next.js SaaS + Payments 📄 Stripe Docs 🦋 Flutterwave Docs 🧠 Laws of UX 🟢 Paystack Docs

✓ 100% Free · Revenue layer

Start Learning →

The Full-Stack Engineering
Skill Stack — Free for Africa

Software Engineering — The Non-Negotiable Foundation

Cloud & DevSecOps — What Separates Hobby from Enterprise

AI & LLM Engineering — Critical for Modern Products

Data Engineering — The Foundation Your AI Runs On

Product & Growth Engineering — Often Ignored, Always Critical

UI/UX + Monetization — Turning Skills into Revenue

Get the Free Cloud Career Roadmap PDF

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Every Layer of the Stack

The Full-Stack EngineeringSkill Stack — Free for Africa

Software Engineering — The Non-Negotiable Foundation

Cloud & DevSecOps — What Separates Hobby from Enterprise

AI & LLM Engineering — Critical for Modern Products

Data Engineering — The Foundation Your AI Runs On

Product & Growth Engineering — Often Ignored, Always Critical

UI/UX + Monetization — Turning Skills into Revenue

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