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Master Prompt Engineering / GenAI with Adaptive AI.

Master Prompt Engineering / GenAI across 18 topics - Foundations, Intermediate, and Advanced - guided by Leyaa's adaptive intelligence.

3Parts
18Topics
134Patterns
35hEst. duration
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Prompt Engineering / GenAI
Prompt Engineering / GenAI Course
3 - part learning journey
Beginner
Foundations
6 topics · 47 patterns
Beginner
Intermediate
Intermediate
6 topics · 45 patterns
Intermediate
Advanced
Advanced
6 topics · 42 patterns
Advanced
Begin Part 1: Foundations
✦ Course Structure

Your Prompt Engineering / GenAI Journey in 3 Parts

Each part builds on the last - a deliberate progression from beginner to advanced.

Beginner
Beginner
Part 1: Foundations
Covers Generative AI Basics, Large Language Models (LLMs), Prompt Engineering and 3 more topics.
6Topics
47Patterns
View topics
Intermediate
Intermediate
Part 2: Intermediate
Covers Retrieval-Augmented Generation (RAG), LangChain Framework, Embeddings and Vector Search and 3 more topics.
6Topics
45Patterns
View topics
Advanced
Advanced
Part 3: Advanced
Covers Advanced RAG Patterns, Building Production Applications, Evaluation and Testing and 3 more topics.
6Topics
42Patterns
View topics
Curriculum

Everything You'll Learn

Explore every topic and pattern in the course.

Prompt Engineering / GenAI

3 parts · 18 topics · 134 patterns
Beginner
Part 1: Foundations6 topics · 47 patterns
Beginner
01
Generative AI Basics
7 patterns
Why Generative AI is transforming technology
What Generative AI actually is
Generative vs discriminative models
GenAI applications (text, image, code, audio)
Key models overview (GPT, DALL-E, Stable Diffusion)
AI ethics and responsible usage
First interaction with GenAI APIs
02
Large Language Models (LLMs)
8 patterns
Why LLMs understand and generate text
Transformer architecture overview
Pre-training and fine-tuning concept
Tokenization and vocabulary
Context window and token limits
Temperature and sampling parameters
Top-p and top-k sampling
LLM scaling laws
03
Prompt Engineering
9 patterns
Why prompt design determines output quality
Zero-shot prompting
Few-shot prompting
Chain-of-thought prompting
System prompts and role setting
Instruction formatting
Output format control
Prompt templates and variables
Iterative prompt refinement
04
OpenAI API
8 patterns
Why API access enables integration
API key management
Chat completions endpoint
Message roles (system, user, assistant)
Streaming responses
Token counting and cost estimation
Error handling and rate limits
Model selection (GPT-4, GPT-3.5)
05
Text Generation Applications
8 patterns
Why text generation solves real problems
Content writing assistance
Code generation
Summarization
Translation
Question answering
Data extraction from text
Chatbot development basics
06
Image Generation
7 patterns
Why AI image generation creates visual content
Diffusion model concept
DALL-E API usage
Stable Diffusion overview
Text-to-image prompt crafting
Image-to-image transformation
Inpainting and outpainting
Intermediate
Part 2: Intermediate6 topics · 45 patterns
Intermediate
01
Retrieval-Augmented Generation (RAG)
8 patterns
Why RAG grounds LLMs in real data
RAG architecture overview
Document loading and parsing
Text chunking strategies
Embedding generation
Vector databases (Pinecone, ChromaDB, Weaviate)
Similarity search and retrieval
Combining retrieved context with LLM
02
LangChain Framework
8 patterns
Why LangChain simplifies LLM applications
LangChain installation and setup
LLM wrappers
Prompt templates
Chains (sequential, router)
Memory for conversation history
Document loaders
Text splitters
03
Embeddings and Vector Search
8 patterns
Why embeddings capture semantic meaning
Text embedding models
OpenAI embeddings API
Sentence transformers
Vector similarity metrics
Vector database operations (CRUD)
Hybrid search (semantic + keyword)
Embedding dimensionality considerations
04
Fine-Tuning LLMs
7 patterns
Why fine-tuning adapts models to domains
When to fine-tune vs prompt engineer
Training data preparation
OpenAI fine-tuning API
LoRA and QLoRA concepts
Hugging Face fine-tuning
Evaluation of fine-tuned models
05
AI Agents
7 patterns
Why agents make autonomous decisions
Agent architecture (observe, think, act)
Tool usage (function calling)
ReAct pattern
Multi-step reasoning
Agent memory and state
LangChain agents
06
Multimodal AI
7 patterns
Why multimodal combines text, image, and audio
Vision-language models (GPT-4V)
Image understanding and description
Audio transcription (Whisper)
Text-to-speech generation
Multimodal RAG
Video understanding basics
Advanced
Part 3: Advanced6 topics · 42 patterns
Advanced
01
Advanced RAG Patterns
8 patterns
Why advanced RAG improves answer quality
Hierarchical chunking
Contextual compression
Multi-query retrieval
Re-ranking retrieved results
Parent-child document retrieval
Hybrid search strategies
RAG evaluation metrics
02
Building Production Applications
7 patterns
Why production readiness matters
Conversation management
Streaming responses to users
Caching strategies for LLMs
Cost optimization
Latency optimization
Fallback and error handling
03
Evaluation and Testing
7 patterns
Why LLM evaluation ensures quality
Human evaluation frameworks
Automated evaluation metrics
Hallucination detection
Factual consistency checking
Red teaming and adversarial testing
Benchmark datasets
04
Security and Safety
7 patterns
Why AI safety prevents misuse
Prompt injection attacks
Prompt injection defense
Content filtering
PII detection and redaction
Output guardrails
Rate limiting and abuse prevention
05
Deployment Architectures
6 patterns
Why architecture choices affect scalability
API-based deployment
Self-hosted LLMs (Llama, Mistral)
GPU infrastructure planning
Load balancing for AI services
Monitoring and observability
06
Ethics and Future Trends
7 patterns
Why responsible AI development matters
Bias in generative models
Copyright and IP considerations
Environmental impact of AI
AI governance frameworks
Emerging trends (smaller models, edge AI)
Career paths in GenAI
Why Leyaa

Not just a course. A learning intelligence.

Leyaa doesn't just deliver content - it understands where you are, what you need, and how to get you there fastest.

Adaptive Diagnostics
Adaptive Diagnostics
Leyaa identifies which of the 134 patterns you've mastered and which need work - before you waste time on what you already know.
Pattern-Level Precision
Pattern-Level Precision
Every pattern gets a verdict - Learn, Practice, or Skip - so your study time goes exactly where it counts.
Intelligent Pacing
Intelligent Pacing
Leyaa reads your velocity across the whole course and adapts your focus list dynamically, keeping you in the optimal learning zone.
Before & After Visibility
Before & After Visibility
Every assessment creates a snapshot. Retake anytime to see exactly how much you've grown - topic by topic, pattern by pattern.
Learner Autonomy
Learner Autonomy
Leyaa recommends, never restricts. Override any suggestion and explore at your own pace - the system tracks everything regardless.
Clear Learning Path
Clear Learning Path
Foundations → Intermediate → Advanced - a structured journey where each part sets you up perfectly for the next.
Prompt Engineering / GenAI

Ready to master Prompt Engineering / GenAI?
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18 Topics
134 Patterns
Personalized roadmap
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