LLM Deployment E-Learning Training
Leer Large Language Models (LLM's) professioneel implementeren en beheren met de LLM Deployment E-Learning Training. Ontdek generatieve AI, API-integraties, modeloptimalisatie, beveiliging, AI-agents en LLMOps. Deze training bevat 6 e-learningmodules en een eindtoets en biedt een praktische basis voor het ontwikkelen, implementeren en beheren van schaalbare AI-oplossingen.
De LLM Deployment Training leert u hoe u Large Language Models integreert in applicaties en productieomgevingen. U ontwikkelt kennis van API's, rate limits, modelaanpassingen, beveiliging, intelligente AI-workflows en geautomatiseerd modelbeheer.
Deze LearningKit met meer dan 6 leeruren is verdeeld in drie sporen:
Cursusinhoud
LLM Deployment: Introducing Generative AI and LLMs
Course: 28 Minutes
- Course Overview
- Generative AI and LLMs
- LLM Fundamentals
- Current LLMs
- Reasoning Models
- Course Summary
LLM Deployment: Playground and API-Based Access to LLMs
Course: 1 Hour, 26 Minutes
- Course Overview
- Tokens and Context Windows
- Pricing Models
- Comparing Models in the Model Catalog
- Managing Projects, Billing, and Basic Prompting
- Implementing Prompt Variables
- Exploring Text, JSON, and JSON Schema Text Formats
- Adjusting Reasoning Effort, Saved Prompts, Personas, and Logs
- Utilizing API Keys and the Responses API
- Generating JSON Schemas Using Pydantic
- Streaming API Responses
- Implementing Multi-Turn Conversations and Reasoning Models
- Course Summary
LLM Deployment: LLM Rate Limits, Optimization Techniques, and Customization
Course: 1 Hour, 18 Minutes
- Course Overview
- Rate Limits
- Handling OpenAI Rate Limits
- Implementing Exponential Backoff with Tenacity
- Implementing Exponential Backoff and Fallback Model Solutions
- Creating Custom GPTs and an OpenAPI Specification (OAS)
- Configuring GPT Actions for API Access
- Setting Up GPT Actions with API Keys
- Prompt Caching and Prompt Optimization
- Using the Prompt Optimizer Tool
- Course Summary
LLM Deployment: Security Considerations and Tool Integration for LLMs
Course: 1 Hour, 39 Minutes
- Course Overview
- Monitoring, Logging, and Evaluation
- Security and Safety in LLMs
- Using the Moderation API for Text and Image Data
- Implementing the Moderation API via REST Calls
- Using the Web Search Tool
- Customizing the Web Search Tool
- Working with OpenAI Storage and Vector Stores
- Using the File Search Tool
- Using Vector Search
- Using the Code Interpreter Tool
- Creating and Working with Containers
- Course Summary
LLM Deployment: Agentic Workflows Using the OpenAI Agent Builder
Course: 53 Minutes
- Course Overview
- Agent Builder
- Utilizing Agent Builder for Agentic Workflows
- Configuring the Guardrail Fail Branch
- Configuring Conditional Logic and Agent Nodes
- Testing the Agentic Workflow
- Course Summary
LLM Deployment: MLOps, LLMOps, and Automation in ML Pipelines
Course: 52 Minutes
- Course Overview
- Production Deployment Patterns
- MLOps vs. DevOps
- Factors Affecting ML Models in Production
- Stages of MLOps Maturity
- Three Levels of Automation in ML Pipelines
- LLMOps vs. MLOps
- Course Summary
Trainingsinhoud
1. Generatieve AI en LLM Fundamentals
- Introductie tot generatieve AI en Large Language Models
- Werken met AI-playgrounds en API's
- LLM-integratie in applicaties
2. LLM Optimalisatie en Beveiliging
- Rate limits en prestatieoptimalisatie
- Modelaanpassingen en configuratie
- Beveiliging en integratie met externe tools
3. AI Agents en Agentic Workflows
- OpenAI Agent Builder
- Intelligente AI-workflows
- Automatisering van meerstapstaken
4. MLOps en LLMOps
- Machine Learning Operations
- LLMOps en geautomatiseerde ML-pipelines
- Monitoring, schaalbaarheid en lifecyclemanagement
5. Eindtoets
Voor wie?
AI Engineers, softwareontwikkelaars, machine learning engineers, DevOps-professionals, cloud engineers en IT-specialisten die LLM-oplossingen willen implementeren.
Voorkennis
Basiskennis van AI, programmeren en API's wordt aanbevolen. Er zijn geen formele toelatingseisen vermeld.
Start de LLM Deployment E-Learning Training bij OEM Office Elearning Menu en ontwikkel uw vaardigheden in LLM-implementatie, AI-agents, automatisering en LLMOps.
