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AI & Deep Learning

GenAI / LLM Engineering โ€” Prompting, RAG, Agents, and Deployment

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

๐Ÿ“š 8 units ๐Ÿชœ 30 steps / lessons โฑ๏ธ Self-paced
This course / diploma is coming soon
This course is coming soon โ€” 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

ุงู„ูƒูˆุฑุณ ุฏู‡ ู‚ูŠุฏ ุงู„ุชุญุถูŠุฑ โ€” ุณุฌู„ ุจูŠุงู†ุงุชูƒ ูˆู‡ู†ุจู„ุบูƒ ุฃูˆู„ ู…ุง ูŠู†ุฒู„.

๐Ÿš€ Enrollment opens soon ๐Ÿ”” Sign up to be notified
Outcomes3
Tools0
Projects0
CertificateVerified

What you will learn

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

Curriculum & units

๐Ÿ“š 8 units ๐Ÿชœ 30 steps โฑ๏ธ Flexible
Unit 0: Introduction & Foundations 4 topics ยท Flexible pace
  • Lesson 1: What is Generative AI โ€” GenAI vs traditional AI
  • Lesson 2: How LLMs Work โ€” Tokens, embeddings, transformers, attention (conceptual)
  • Lesson 3: Transformer โ€” Encoding - decoding (details)
  • Lesson 4: LLM Failure Modes โ€” Hallucinations, exposure bias, brittleness
Unit 1: LLM App Foundations 6 topics ยท Flexible pace
  • Lesson 1: Prompt vs System Control โ€” System prompts vs user prompts, priority rules
  • Lesson 2: Prompt Patterns โ€” Structured outputs, constraints, retries, templates
  • Lesson 3: Prompt Engineering Strategies โ€” Zero-shot, few-shot, chain-of-thought, prompt decomposition
  • Lesson 4: ReAct Pattern โ€” Reason + act loops, tool calling logic
  • Lesson 5: Self-Consistency โ€” Sampling, majority voting, reliability gains
  • Lesson 6: Prompt Robustness โ€” Adversarial prompts, prompt injection basics
Unit 2: Vector Search & Embeddings 6 topics ยท Flexible pace
  • Lesson 1: Embeddings Fundamentals โ€” Semantic similarity, cosine distance, embedding models
  • Lesson 2: Sparse vs Dense Embeddings โ€” BM25 vs dense, trade-offs, hybrid use cases
  • Lesson 3: Vector Databases โ€” FAISS, Chromadb, indexing basics
  • Lesson 4: Search Strategies โ€” Similarity search, hybrid search, filtering
  • Lesson 5: Indexing & Scalability โ€” HNSW, IVF, quantization, approximate nearest neighbors
  • Lesson 6: Embedding Quality & Model Selection โ€” benchmarking, domain-specific embeddings
Unit 3: RAG Systems 5 topics ยท Flexible pace
  • Lesson 1: Retrieval Basics โ€” Chunking, embeddings, vector DB concepts
  • Lesson 2: Query Transformation โ€” Query rewriting, multi-query, decomposition
  • Lesson 3: RAG Optimization โ€” Reranking, hybrid search, context windows, citations
  • Lesson 4: Knowledge Graphs (GraphRAG) โ€” Entities, relations, graph traversal + RAG
  • Lesson 5: RAG Evaluation Metrics โ€” RAGAS, BLEU, ROUGE, factuality metrics
Unit 4: Agents 5 topics ยท Flexible pace
  • Lesson 1: Agentic Workflows โ€” Planning vs reactive, tools, memory, guardrails
  • Lesson 2: Memory Management โ€” Short-term vs long-term memory, vector memory
  • Lesson 3: Agent Frameworks โ€” LangChain agents, function calling, tool schemas, limitations
  • Lesson 4: Multi-Agent Orchestration โ€” Role-based agents, coordination, failure handling
  • Lesson 5: Local Agents โ€” Ollama local models, privacy tradeoffs
Unit 5: Fine-tuning 3 topics ยท Flexible pace
  • Lesson 1: PEFT & LoRA โ€” Dataset prep, instruction tuning, overfitting risks
  • Lesson 2: QLoRA โ€” 4-bit quantization + LoRA mechanics
  • Lesson 3: Full Fine-Tuning vs PEFT โ€” when to use which, cost/benefit trade-offs
Unit 6: LLM Evaluation 3 topics ยท Flexible pace
  • Lesson 1: Eval Harness โ€” Golden sets, rubrics, regression tests, offline eval
  • Lesson 2: LLM-as-a-Judge โ€” Model-based evaluation, bias risks
  • Lesson 3: Cost & Token Tracking โ€” Token accounting, latency vs quality
Unit 7: Deployment 3 topics ยท Flexible pace
  • Lesson 1: API Integration โ€” OpenAI, Hugging Face, local hosting
  • Lesson 2: Quantization for Deployment โ€” INT8, INT4, trade-offs
  • Lesson 2: UI & UX for LLM Apps โ€” chat interfaces, streams
Unit 8: Multimodal AI 2 topics ยท Flexible pace
  • Lesson 1: Vision-Language Models โ€” LLaVA
  • Lesson 2: Audio/Video with LLMs โ€” speech-to-text, text-to-speech
Project 1 topics ยท 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.

๐Ÿ†

Verified Certificate

Official Learn in Depth completion certificate with QR verification.

Verifiable on the public verification page.

๐Ÿ‡ฌ๐Ÿ‡ง

English Training Letter

For international companies and overseas employment.

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

๐Ÿ‡ช๐Ÿ‡ฌ

Arabic Training Letter

For local employers in MENA and university coordination.

Bilingual stamped letter ready for HR submission.

๐Ÿข

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.

ุงู„ู…ุณุชู‡ุฏู ุงู„ุญุงู„ูŠ ู‡ูˆ Q3 2026. ุณุฌู‘ู„ ุจูŠุงู†ุงุชูƒ ููŠ ุงู„ููˆุฑู… ูˆุณู†ุฑุณู„ ู„ูƒ ุฃูˆู„ ุชุญุฏูŠุซุงุช ุงู„ุฅุทู„ุงู‚ ูˆุงู„ุฃุณุนุงุฑ.

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

ุญุงู„ูŠู‹ุง ุงู„ู…ุณุงุฑุงุช ููŠ ุญุงู„ุฉ Coming Soon. ุชู‚ุฏุฑ ุชุชุตูุญ ุงู„ู…ุญุชูˆู‰ ูˆุชุณุฌู„ ุงู‡ุชู…ุงู…ูƒ ู„ู†ุจู„ุบูƒ ุนู†ุฏ ูุชุญ ุงู„ุชุณุฌูŠู„.

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

ุฃูŠูˆุฉ โ€” ูƒู„ ู…ุณุงุฑ ู…ุตู…ู… ุจุดู‡ุงุฏุฉ ู…ูˆุซู‚ุฉ ูˆู…ุฑุงุฌุนุฉ ุนู…ู„ูŠุฉ ู„ู„ู…ุดุงุฑูŠุน ุงู„ุฑุฆูŠุณูŠุฉ.

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

ุฃูŠูˆุฉุŒ ุงู„ุชุณูˆูŠู‚ ูˆุงู„ุฏุนู… ูˆุจู†ุงุก ุงู„ู…ุดุงุฑูŠุน ู…ุนู…ูˆู„ูŠู† ุฎุตูŠุตู‹ุง ู„ู…ู‡ู†ุฏุณูŠู† ุงู„ุณูˆู‚ ุงู„ู…ุตุฑูŠ ูˆุงู„ุฎู„ูŠุฌูŠ ู…ุน ุชุฑูƒูŠุฒ ุนู„ู‰ ุงู„ุชูˆุธูŠู ุงู„ุนู…ู„ูŠ.

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

ุณุฌู„ ุญุณุงุจูƒ ูˆุฃุถู ุงู„ูƒูˆุฑุณ ู„ู„ุณู„ุฉ ูˆุงุชุจุน ุฎุทูˆุงุช ุงู„ุฏูุน.

Yes โ€” students get an automatic discount shown at checkout.

ุฃูŠูˆู‡ โ€” ุงู„ุทู„ุจุฉ ู„ูŠู‡ู… ุฎุตู… ุฎุงุต ุจูŠุธู‡ุฑ ุฃูˆุชูˆู…ุงุชูŠูƒ.

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

ูƒู„ ุงู„ูƒูˆุฑุณุงุช ู…ุณุฌู„ุฉ ุนุดุงู† ุชุชุนู„ู… ููŠ ุฃูŠ ูˆู‚ุช ูŠู†ุงุณุจูƒ.

Yes โ€” all courses are free for people from Palestine.

ุฃูŠูˆู‡ โ€” ูƒู„ ุงู„ูƒูˆุฑุณุงุช ู…ุฌุงู†ูŠุฉ ู„ุฃู‡ู„ ูู„ุณุทูŠู†.

Bank transfer, Vodafone Cash, InstaPay.

ุชุญูˆูŠู„ ุจู†ูƒูŠุŒ ููˆุฏุงููˆู† ูƒุงุดุŒ ุฅู†ุณุชุงุจุงูŠ.

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