Python Foundations for Business Minds
6-8 weeksSkills You'll Build
Python syntax and data typesControl flow and functionsData manipulation with PandasWorking with APIsGit version control
Management/Technical Consultant → AI Engineer
Consultant to AI Engineer Learning Path
Transform your consulting background into a high-paying AI engineering career. Your business acumen, client management skills, and problem-solving abilities are exactly what companies need in AI engineers who can bridge the gap between technical implementation and business value. Expect 5-8 months of focused learning to make the transition, with earning potential of $150k-$250k+ as someone who can both build and communicate.
5-8 months
Prerequisites
- Business analysis and problem-solving experience
- Client-facing communication skills
- Basic data analysis (Excel/SQL a plus)
- Project management experience
- Understanding of business processes
Your Learning Path
AI/ML Fundamentals: Business Perspective
4-5 weeksSkills You'll Build
Machine learning concepts (practical focus)Understanding LLM capabilitiesAI use case identificationCost-benefit analysis for AI projectsToken economics and pricing models
LLM API Implementation
4-5 weeksSkills You'll Build
OpenAI API integrationClaude API implementationPrompt engineering for business applicationsError handling and retriesCost optimization strategies
RAG Systems & Knowledge Management
4-5 weeksSkills You'll Build
Document processing pipelinesVector database setupEnterprise knowledge retrievalChunking strategiesHybrid search implementation
AI Solutions Architecture
4-5 weeksSkills You'll Build
AI system design patternsIntegration with enterprise systemsSecurity and compliance considerationsScalability planningStakeholder communication
Portfolio & Career Transition
4-6 weeksSkills You'll Build
Building business-focused AI demosGitHub portfolio optimizationResume positioning for career changersInterview preparationLeveraging consulting network