LLM Application Development Roadmap — Step-by-step Learning Path
Building production applications on top of large language models: APIs, chaining, structured output, streaming and application architecture
The LLM Application Development roadmap
- LLM Application Development Fundamentals — beginner
- Working with LLM APIs — beginner
- Understanding Model Parameters — beginner
- System, User and Assistant Roles — beginner
- Comparing Major LLM APIs — beginner
- Handling API Errors and Rate Limiting — beginner
- Batching and Parallel Requests — beginner
- Context Management and Conversation Design — beginner
- Context Window Fundamentals — beginner
- Managing Multi-Turn Conversations — beginner
- Context Truncation and Summarization Strategies — beginner
- System Prompt Design — beginner
- Context Window Trade-offs Across Models — beginner
- Structured Output and Function Calling — beginner
- Getting Structured Output from LLMs — beginner
- Function Calling and Tool Schemas — beginner
- Validating and Repairing Model Output — beginner
- JSON Mode and Constrained Generation — beginner
- Designing Tool Schemas for Reliability — beginner
- Streaming and Real-Time Response Handling — beginner
- Streaming Responses Fundamentals — beginner
- Server-Sent Events and WebSockets for LLM Apps — beginner
- Handling Partial and Incomplete Responses — beginner
- Streaming Structured Output — beginner
- Cancelling and Interrupting Generation — beginner
- Testing Streaming Behavior — beginner
- Chains and Multi-Step Pipelines — beginner
- Prompt Chaining Fundamentals — beginner
- Sequential vs Parallel Chains — beginner
- Conditional Branching in Pipelines — beginner
- Chaining Across Multiple Models — beginner
- Debugging Multi-Step Pipelines — beginner
- Memory Systems for LLM Apps — beginner
- Short-Term vs Long-Term Memory in LLM Apps — beginner
- Conversation Summarization for Memory — beginner
- Storing and Retrieving User Memory — beginner
- Memory Architectures for Agents — beginner
- Privacy Considerations for Persistent Memory — beginner
- Error Handling and Fallback Strategies — beginner
- Common LLM Failure Modes — beginner
- Fallback Strategies for Model Failures — beginner
- Retry Logic for LLM Calls — beginner
- Handling Refusals and Safety Filters — beginner
- Graceful Degradation for AI Features — beginner
- LLM Application Architecture Patterns — beginner
- Common LLM Application Architecture Patterns — beginner
- Client-Side vs Server-Side LLM Calls — beginner
- Designing for Statelessness — beginner
- Separating Business Logic from Model Calls — beginner
- Choosing Between a Single Model Call and a Pipeline — beginner
- Case Study: Architecting a Production LLM Feature — beginner
- Building UIs for LLM Applications — beginner
- UI Patterns for Chat Interfaces — beginner
- Displaying AI-Generated Content Responsibly — beginner
- Handling Long-Running AI Operations in the UI — beginner
- Building Copilot-Style Interfaces — beginner
- Accessibility in AI-Powered Interfaces — beginner
- Testing LLM Applications — beginner
- Why Testing LLM Apps Is Different — beginner
- Unit Testing Prompt Logic — beginner
- Snapshot and Golden-Output Testing — beginner
- Regression Testing After Prompt or Model Changes — beginner
- Testing Tool-Calling and Agentic Behavior — beginner
- Security for LLM Applications — beginner
- Prompt Injection Fundamentals — beginner
- Defending Against Prompt Injection — beginner
- Sanitizing User Input and Model Output — beginner
- Data Leakage Risks in LLM Applications — beginner
- Securing API Keys and Credentials — beginner
- Multimodal Application Development — beginner
- Multimodal Model Fundamentals — beginner
- Building Vision-Enabled Applications — beginner
- Audio Input and Transcription in Apps — beginner
- Generating Images and Audio from LLM Apps — beginner
- Document and PDF Understanding — beginner
- Combining Modalities in a Single Workflow — beginner
- Managing Cost and Token Usage — beginner
- Understanding Token-Based Pricing — beginner
- Caching Strategies to Reduce Cost — beginner
- Model Selection for Cost Efficiency — beginner
- Monitoring and Alerting on AI Spend — beginner
- Setting Usage Limits and Quotas — beginner
- LLM Application Frameworks — beginner
- Overview of LLM Application Frameworks — beginner
- When to Use a Framework vs Build Directly on APIs — beginner
- Orchestration Frameworks Compared — beginner
- Framework Lock-In Risks — beginner
- Contributing to and Extending Frameworks — beginner
- Deploying LLM Applications — beginner
- Deploying LLM Applications to Production — beginner
- Serverless Deployment for LLM Apps — beginner
- Handling Cold Starts and Latency — beginner
- Environment Configuration and Secrets Management — beginner
- Blue-Green Deployments for AI Features — beginner
- Career and Capstone — advanced