Python for AI Development
3-5 weeksSkills You'll Build
Python programming fundamentalsWorking with APIs and SDKsData manipulation with PandasBuilding demo-ready prototypesEnvironment and dependency management
Sales Engineer → AI Engineer
Sales Engineer to AI Engineer: From Demos to Building AI Products
Your technical communication skills and customer-facing experience are invaluable in AI. This path transforms your ability to understand business problems and demonstrate solutions into building the AI products you've been showcasing. Move from selling AI to creating it.
5-8 months
Prerequisites
- Experience as a sales engineer, solutions architect, or technical pre-sales
- Familiarity with programming concepts and APIs
- Strong presentation and communication skills
- Understanding of enterprise software and integration patterns
- Experience with proof-of-concept development
Your Learning Path
LLM Fundamentals and APIs
3-4 weeksSkills You'll Build
How large language models workOpenAI and Claude API integrationPrompt engineering for business use casesUnderstanding AI capabilities and limitationsTranslating customer requirements to AI solutions
Building AI Prototypes
4-5 weeksSkills You'll Build
Rapid prototyping with AI APIsBuilding chat interfaces and demosDocument processing applicationsAI-powered search and Q&A systemsCreating compelling proof-of-concepts
RAG and Knowledge Systems
4-5 weeksSkills You'll Build
Vector databases and embeddingsBuilding document Q&A systemsEnterprise knowledge retrievalHybrid search implementationPerformance optimization
Production AI Deployment
3-4 weeksSkills You'll Build
Deploying AI applicationsAPI design for AI productsMonitoring and observabilityCost management at scaleSecurity considerations
Portfolio and Career Transition
2-3 weeksSkills You'll Build
Building enterprise-focused portfolioShowcasing business impactAI engineer interview preparationLeveraging sales engineering networkPositioning for AI product roles