AI PRISM
CURRICULUM
Intensity Level
TECHNICAL / ADVANCED
Operational Duration
4 WEEKS
Orbital Ref: PRM-04
MODULE TRACKS
Deep-Dive Specializations
Applied ML Engineering
Hands-on machine learning implementation for internal tools and data pipelines.
- • Scikit-learn / PyTorch
- • Feature Engineering
- • Model Evaluation
API & Integration
Building production-grade AI APIs and integrating LLMs into existing enterprise systems.
- • REST / GraphQL
- • OpenAI API
- • Middleware Design
Data Engineering
Designing ETL pipelines and vector databases for retrieval-augmented generation.
- • Vector DB (Pinecone / Weaviate)
- • ETL Orchestration
- • Data Quality
Internal Tool Building
Rapid prototyping of AI-powered internal tools that solve real operational bottlenecks.
- • Streamlit / Gradio
- • LangChain Agents
- • Workflow Automation
MLOps & Monitoring
Deploying, monitoring, and maintaining AI systems in production environments.
- • CI/CD for ML
- • Drift Detection
- • Performance Dashboards
PROGRESSION PATHWAY
Badge Achievement Hierarchy
Coder
Lvl 01
Engineer
Lvl 02
Architect
Current Tier
Lead
Lvl 04
WEEKLY OPS
Timeline // Weeks 1 — 4WK 01
Architecture
SYSTEM DESIGN & ENVIRONMENT SETUP
Architecture decisions, cloud environment provisioning, and foundational codebase scaffolding.
WK 02
Integration
API & ENTERPRISE INTEGRATION SPRINT
Building AI-powered API endpoints and connecting to existing enterprise data systems.
WK 03
Data
RAG & KNOWLEDGE SYSTEM BUILD
Vector database design, ETL pipeline orchestration, and retrieval-augmented generation implementation.
WK 04
Ship
MLOPS PIPELINE & PRODUCTION LAUNCH
CI/CD for models, monitoring dashboards, performance benchmarking, and production deployment review.
TECHNICAL DELIVERABLES
System deployments you will depart with, fully optimized for production environments.
Forge Guarantee
“Every technical team ships production-ready AI infrastructure, reviewed by senior engineers.”
Production AI API
Fully documented, deployed AI API endpoint integrated with your existing systems.
Internal AI Tool
Custom-built AI-powered tool solving a validated internal business problem.
RAG Knowledge Base
Vector database with retrieval pipeline connected to organizational knowledge.
MLOps Pipeline
Automated deployment and monitoring setup for continuous model performance.