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Reshape AI Academy & Accelerated Courses

Curated, modular educational pathways designed to upskill technical teams and curious builders in modern engineering, automation, and applied AI.

FOUNDATIONAL arrow_outward

IT Foundations & Infrastructure

Core system administration, modern networking architectures, containerization with Docker, and cloud security principles.

4 Modules • Self-Paced View Syllabus
ADVANCED arrow_outward

Applied AI & LLM Engineering

Prompt engineering, RAG pipelines, fine-tuning neural models, and building production-grade autonomous agentic workflows.

6 Modules • Self-Paced View Syllabus
PRACTICAL arrow_outward

Workflow Automation Systems

Designing resilient webhook consumers, automated ETL pipelines, webhook choreography, and error-handling microservices.

5 Modules • Self-Paced View Syllabus
STRATEGY arrow_outward

Modern Digital Business

Conversion rate optimization, data-driven customer funnels, enterprise positioning, and tech startup economics.

4 Modules • Self-Paced View Syllabus
Comprehensive Syllabus

Complete Track Curriculums

Detailed module breakdowns, lesson objectives, and real-world engineering capstones for all four technical pathways.

COURSE TRACK 01

IT Foundations & Enterprise Infrastructure

Foundational systems engineering, Linux kernel mechanics, networking topology, and zero-trust security.

4 Modules • 32 Hours • Intermediate

1 Linux Systems & POSIX Environments

Filesystem hierarchies, permissions (chmod/chown), process lifecycle (systemd), IPC, shell scripting, and storage management (LVM, ZFS).

2 Modern TCP/IP & Edge Networking

OSI reference models, subnetting, BGP/OSPF routing, DNS architecture, TLS 1.3 handshake negotiation, reverse proxies (Nginx, Caddy), and HTTP/3.

3 Containerization & Orchestration

Docker container runtimes, multi-stage image minimization, rootless containers, bridge networking, Docker Compose, and Kubernetes pod abstractions.

4 Zero-Trust Security & Observability

SSH key infrastructure, firewall configuration (UFW/iptables), rate limiting, automated patch pipelines, Prometheus metrics, and Grafana alerting.

COURSE TRACK 02

Applied AI & LLM Engineering

Building production neural applications, structured prompt engineering, vector retrieval, and autonomous agents.

6 Modules • 48 Hours • Advanced

1 Neural Architectures & Attention

Transformer self-attention mathematics, tokenization mechanics (BPE/WordPiece), context window dynamics, and latent space geometries.

2 Production RAG Systems

Vector database indexing (Qdrant, pgvector), dense embeddings, semantic chunking strategies, hybrid BM25 search, and cross-encoder re-ranking.

3 Autonomous Agent Orchestration

Tool calling schemas, multi-agent communication protocols, self-healing reflection loops, and deterministic goal convergence.

4 Multilingual & Kurdish NLP

Sorani/Badini token normalization, Arabic character disambiguation, localized phonetic speech synthesis, and dialect translation.

5 Fine-Tuning & Quantization

Parameter-efficient fine-tuning (LoRA, QLoRA), instruction alignment (DPO/RLHF), model quantization (GGUF/AWQ), and edge inference.

6 AI Safety & Evaluation

Jailbreak defenses, hallucination evaluation harnesses, output validation with Pydantic/Zod, and strict latency profiling.

COURSE TRACK 03

Workflow Automation Systems

Designing resilient webhook consumers, automated ETL pipelines, distributed queueing, and microservices.

5 Modules • 36 Hours • Practical

1 Webhook Ingestion & Verification

HMAC signature verification, replay attack prevention, exponential backoff retries, dead-letter queues, and idempotency keys.

2 Event-Driven Architecture

Publish-subscribe message brokers (Redis Streams, RabbitMQ), message deduplication, at-least-once delivery, and state machine transitions.

3 Automated ETL Pipelines

Batch data transformation, stream processing, schema validation, database upserts, and change-data-capture (CDC) triggers.

4 API Integration Choreography

Connecting ERPs, CRM databases (HubSpot, Salesforce), SMS/WhatsApp business gateways, and automated document generation.

5 Disaster Recovery & Auditing

Failover strategies, immutable audit trails, reconciliation cron scripts, error telemetry, and zero-loss recovery runs.

COURSE TRACK 04

Modern Digital Business & Product Engineering

Data-driven growth, conversion funnel optimization, technology startup economics, and agile delivery.

4 Modules • 28 Hours • Strategic

1 Technical Product Discovery

User interview frameworks, technical feasibility validation, MVP scoping, clickable wireframing, and continuous customer feedback loops.

2 Conversion Funnels & Technical SEO

Core Web Vitals tuning, structured data implementation, semantic content graphs, landing page A/B testing, and user analytics.

3 Startup Economics & Pricing Models

SaaS unit economics, customer acquisition cost (CAC), lifetime value (LTV), tiered subscription modeling, and enterprise contract terms.

4 Agile Engineering Delivery

CI/CD pipelines, automated testing gates, feature flagging, semantic versioning, code reviews, and developer productivity metrics.

Frequently Asked Questions

Everything you need to know about Reshape Academy courses, certifications, and enrollment.

Are Reshape Academy courses completely free of charge? expand_more

Yes, 100%. Reshape Academy is dedicated to uplifting the technical talent across Kurdistan, Iraq, and the broader region. All self-paced courses, guides, and downloadable code templates are provided completely free with zero hidden paywalls.

Do I receive a certificate upon course completion? expand_more

Yes. Students who complete track projects and submit code repositories for verification receive a digital Certificate of Completion issued by Reshape Engineering with verifiable cryptographic credentials.

What prerequisites are needed before starting? expand_more

Track 01 (IT Foundations) requires only basic computer literacy. Track 02 (Applied AI) and Track 03 (Automation) benefit from familiarity with Python, JavaScript, or general programming fundamentals.