Courses AI Tool Selection & Management

AI Tool Selection & Management

KI-Tool-Auswahl & Management

Navigate the AI tool landscape: compare providers, manage costs, set up routing, and choose the right model for each task. Learn when to self-host vs. use cloud.

intermediate 2 hours Management Start Course →

Course Sections

1

The Provider Landscape

20 min

Overview of all major AI providers: strengths, weaknesses, pricing, and specializations.

OpenAI (GPT-5, Codex)Anthropic (Claude)Google (Gemini)AWS BedrockAzure OpenAIOllama/vLLM (self-hosted)OpenRouterComparison matrix
2

Model Selection by Task

20 min

Which model for which task? Match task complexity to the right model tier and save 60-80% on costs.

Task categorization8-tier model hierarchyCoding modelsReasoning modelsVision modelsSpeed vs. quality tradeoffsCost per task type
3

Cost Management & Budgeting

20 min

Track spending, set budgets, and optimize costs — from token counting to automatic tier selection.

Token cost calculationBudget alertsUsage quotasCost mode (economy/balanced/quality)Baseline comparisonSavings tracking
4

Intelligent Model Routing

25 min

Set up Model Prism as your LLM gateway: auto-route requests to the optimal model by task type and cost.

Model Prism setupAuto-routing classifierKeyword rulesTier boostForce auto-routeProvider fallback chainsA/B testing
5

Self-Hosting vs. Cloud

15 min

When to run models locally: privacy, cost break-even, GPU requirements, and hybrid setups.

Privacy & complianceGPU cost analysisOllama setupvLLM deploymentHybrid: local + cloudAir-gapped operation

What You'll Learn

  • Compare AI providers: OpenAI, Anthropic, Google, AWS Bedrock, Azure, Ollama
  • Choose the right model for each task type (coding, analysis, chat, vision)
  • Understand pricing models: per-token, per-request, self-hosted GPU costs
  • Set up multi-provider routing with Model Prism for cost optimization
  • Implement budget alerts, rate limiting, and usage quotas
  • Decide when to self-host (Ollama/vLLM) vs. use cloud APIs

Prerequisites

  • Completed "AI Fundamentals"
  • Basic understanding of APIs

Course Info

Level intermediate
Duration 2 hours
Sections 5
Languages EN + DE
Category Management

🇩🇪 Dieser Kurs ist auch auf Deutsch verfügbar: KI-Tool-Auswahl & Management