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AI & Deep Learning

GenAI / LLM Engineering — Prompting, RAG, Agents, and Deployment

A specialized track for modern LLM products: prompt engineering, embeddings, RAG, agents, fine-tuning, evaluation, deployment, and multimodal workflows.

📚 8 units 🪜 30 steps / lessons ⏱️ Self-paced
This course / diploma is coming soon
This course is coming soon — register your details and we'll notify you when it launches.
Expected launch: Q3 2026
Pricing on launch

Available as part of AI diploma bundles

الكورس ده قيد التحضير — سجل بياناتك وهنبلغك أول ما ينزل.

🚀 Enrollment opens soon 🔔 Sign up to be notified
Outcomes3
Tools0
Projects0
CertificateVerified
🎯 Why this diploma is worth it

Not a watch-and-forget course — a complete technical reference that lives with you

You get the videos, materials, quizzes, exams and projects — a solid, always-updated reference for every technology in the diploma. You won't need another source.

♾️

Lifetime reference + yearly updates

Come back anytime — at work, in interviews, in projects. Refreshed every year so it stays up to date.

📦

Everything in one place

Deep-dive videos + materials + quizzes + exams for every part — a complete curriculum, not just lectures.

⏱️

Learn at your own pace

Fully recorded. Finish on your schedule, complete a part each month, and progress step by step.

🛠️

Real projects on GitHub

0+ hands-on projects you submit and push to a GitHub repo — building a portfolio that convinces any employer.

🧑‍🏫

Manual review + industry instructors

Your projects are reviewed by hand, taught by instructors working in the industry — real feedback that levels you up.

🏆

Verified certificate + training letter

A QR-verifiable certificate + an Arabic/English training letter that convinces HR — ready for jobs and college.

3Learning outcomes
0Tools & tech
0Hands-on projects
★ 4.9Avg student rating
🚀 Start now — claim your spot in the diploma

What you will learn

  • ✅ Design production-minded LLM applications
  • ✅ Build RAG and agentic workflows with strong evaluation habits
  • ✅ Understand deployment trade-offs for modern GenAI products

Curriculum & units

📚 8 units 🪜 30 steps ⏱️ Flexible
Unit 0: Introduction & Foundations 4 topics · Flexible pace
  • Lesson 1: What is Generative AI — GenAI vs traditional AI
  • Lesson 2: How LLMs Work — Tokens, embeddings, transformers, attention (conceptual)
  • Lesson 3: Transformer — Encoding - decoding (details)
  • Lesson 4: LLM Failure Modes — Hallucinations, exposure bias, brittleness
Unit 1: LLM App Foundations 6 topics · Flexible pace
  • Lesson 1: Prompt vs System Control — System prompts vs user prompts, priority rules
  • Lesson 2: Prompt Patterns — Structured outputs, constraints, retries, templates
  • Lesson 3: Prompt Engineering Strategies — Zero-shot, few-shot, chain-of-thought, prompt decomposition
  • Lesson 4: ReAct Pattern — Reason + act loops, tool calling logic
  • Lesson 5: Self-Consistency — Sampling, majority voting, reliability gains
  • Lesson 6: Prompt Robustness — Adversarial prompts, prompt injection basics
Unit 2: Vector Search & Embeddings 6 topics · Flexible pace
  • Lesson 1: Embeddings Fundamentals — Semantic similarity, cosine distance, embedding models
  • Lesson 2: Sparse vs Dense Embeddings — BM25 vs dense, trade-offs, hybrid use cases
  • Lesson 3: Vector Databases — FAISS, Chromadb, indexing basics
  • Lesson 4: Search Strategies — Similarity search, hybrid search, filtering
  • Lesson 5: Indexing & Scalability — HNSW, IVF, quantization, approximate nearest neighbors
  • Lesson 6: Embedding Quality & Model Selection — benchmarking, domain-specific embeddings
Unit 3: RAG Systems 5 topics · Flexible pace
  • Lesson 1: Retrieval Basics — Chunking, embeddings, vector DB concepts
  • Lesson 2: Query Transformation — Query rewriting, multi-query, decomposition
  • Lesson 3: RAG Optimization — Reranking, hybrid search, context windows, citations
  • Lesson 4: Knowledge Graphs (GraphRAG) — Entities, relations, graph traversal + RAG
  • Lesson 5: RAG Evaluation Metrics — RAGAS, BLEU, ROUGE, factuality metrics
Unit 4: Agents 5 topics · Flexible pace
  • Lesson 1: Agentic Workflows — Planning vs reactive, tools, memory, guardrails
  • Lesson 2: Memory Management — Short-term vs long-term memory, vector memory
  • Lesson 3: Agent Frameworks — LangChain agents, function calling, tool schemas, limitations
  • Lesson 4: Multi-Agent Orchestration — Role-based agents, coordination, failure handling
  • Lesson 5: Local Agents — Ollama local models, privacy tradeoffs
Unit 5: Fine-tuning 3 topics · Flexible pace
  • Lesson 1: PEFT & LoRA — Dataset prep, instruction tuning, overfitting risks
  • Lesson 2: QLoRA — 4-bit quantization + LoRA mechanics
  • Lesson 3: Full Fine-Tuning vs PEFT — when to use which, cost/benefit trade-offs
Unit 6: LLM Evaluation 3 topics · Flexible pace
  • Lesson 1: Eval Harness — Golden sets, rubrics, regression tests, offline eval
  • Lesson 2: LLM-as-a-Judge — Model-based evaluation, bias risks
  • Lesson 3: Cost & Token Tracking — Token accounting, latency vs quality
Unit 7: Deployment 3 topics · Flexible pace
  • Lesson 1: API Integration — OpenAI, Hugging Face, local hosting
  • Lesson 2: Quantization for Deployment — INT8, INT4, trade-offs
  • Lesson 2: UI & UX for LLM Apps — chat interfaces, streams
Unit 8: Multimodal AI 2 topics · Flexible pace
  • Lesson 1: Vision-Language Models — LLaVA
  • Lesson 2: Audio/Video with LLMs — speech-to-text, text-to-speech
Project 1 topics · Flexible pace
  • LLM App Capstone

Projects you will build

Tools & platforms

Target audience

  • Software engineers building GenAI apps
  • NLP practitioners moving into LLM engineering
  • Founders and product builders using modern AI stacks

Career paths

What you receive after finishing

Verification-ready certificates and HR-friendly training letters.

🏆

Verified Certificate

Official Learn in Depth completion certificate with QR verification.

Verifiable on the public verification page.

🇬🇧

English Training Letter

For international companies and overseas employment.

On official Learn in Depth letterhead, signed by the instructor.

🇪🇬

Arabic Training Letter

For local employers in MENA and university coordination.

Bilingual stamped letter ready for HR submission.

🏢

Company-Stamped Certificate

Company-stamped, for academic credit. Request it by contacting +20 155 876 5064 via WhatsApp or phone.

Issued upon request after successful completion.

Course FAQ

The current target is Q3 2026. Register via the form and we will send launch and pricing updates first.

المستهدف الحالي هو Q3 2026. سجّل بياناتك في الفورم وسنرسل لك أول تحديثات الإطلاق والأسعار.

These tracks are currently marked Coming Soon. You can browse the curriculum and leave your details to be notified when registration opens.

حاليًا المسارات في حالة Coming Soon. تقدر تتصفح المحتوى وتسجل اهتمامك لنبلغك عند فتح التسجيل.

Yes — every track is designed around a verified certificate and hands-on project review.

أيوة — كل مسار مصمم بشهادة موثقة ومراجعة عملية للمشاريع الرئيسية.

Yes. The positioning, support, and project design target engineers in the Egyptian and Gulf markets with a strong practical hiring focus.

أيوة، التسويق والدعم وبناء المشاريع معمولين خصيصًا لمهندسين السوق المصري والخليجي مع تركيز على التوظيف العملي.

Send a WhatsApp message to +201558765064 saying: "I need to reset my device ID" along with your email. We'll reset the old device and you can immediately access on the new one.

ابعت رسالة على واتساب +201558765064 وقول: "عايز أعمل reset لل ID بتاعي" واكتب الإيميل بتاعك. هنعمل Reset للجهاز القديم وتقدر تفتح على الجهاز الجديد فوراً.

Create your account, add the course to cart, and follow the payment steps.

سجل حسابك وأضف الكورس للسلة واتبع خطوات الدفع.

Yes — students get an automatic discount shown at checkout.

أيوه — الطلبة ليهم خصم خاص بيظهر أوتوماتيك.

All courses are recorded so you can learn at your own pace.

كل الكورسات مسجلة عشان تتعلم في أي وقت يناسبك.

Yes — all courses are free for people from Palestine.

أيوه — كل الكورسات مجانية لأهل فلسطين.

Bank transfer, Vodafone Cash, InstaPay.

تحويل بنكي، فودافون كاش، إنستاباي.

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