AI FORGE
CURRICULUM
Intensity Level
TECHNICAL / ADVANCED
Operational Duration
3-8 WEEKS
Orbital Ref: 2024-X1
MODULE TRACKS
Deep-Dive Specializations
Foundations
Core architectural principles of transformer models and neural networks.
- • Attention Mechanisms
- • Optimization Algos
- • Tensor Operations
Data
High-fidelity data engineering for large scale model training and fine-tuning.
- • Vector DB Design
- • ETL Pipelines
- • Data Synthesis
Machine Learning
Advanced predictive modeling and reinforcement learning cycles.
- • PPO & RLHF
- • Gradient Descent
- • Model Distillation
Generative AI
Deploying state-of-the-art generative systems for industry-specific problem solving.
- • Diffusion Models
- • Multimodal Synthesis
- • Prompt Engineering
- • LORA Fine-tuning
Agents
Building autonomous multi-agent systems with tool-use capabilities.
- • Task Decomposition
- • ReAct Framework
- • Agentic Workflows
PROGRESSION PATHWAY
Badge Achievement Hierarchy
Explorer
Lvl 01
Builder
Lvl 02
Creator
Current Tier
Innovator
Lvl 04
Champion
Lvl 05
WEEKLY OPS
Timeline // Weeks 1 — 8WK 1-2
Phase 1
FOUNDATIONS & DATA ENGINEERING
Neural network theory, transformer architecture deep-dives, and high-fidelity data pipeline construction.
WK 3-4
Phase 2
ML SYSTEMS & GENERATIVE AI
Advanced model training, RLHF optimization, diffusion models, and multimodal synthesis.
WK 5-6
Phase 3
AUTONOMOUS AGENT ENGINEERING
Multi-agent system design, ReAct framework implementation, and agentic workflow orchestration.
WK 7-8
Phase 4
PRODUCTION DEPLOYMENT & REVIEW
Safety guardrails, adversarial testing, scalability benchmarking, and industry-lead code review.
TECHNICAL DELIVERABLES
System deployments you will depart with, fully optimized for production environments.
Forge Guarantee
“Every participant engineers a verified, scalable AI stack from the ground up, reviewed by industry leads.”
Production RAG Pipeline
Enterprise-grade retrieval-augmented generation system with multi-stage verification.
Multi-Agent System
Autonomous agent swarm capable of complex task execution and cross-agent communication.
Fine-Tuned Foundation
Domain-specific fine-tuned model (LLM) with customized weights and LoRA adapters.
Safety & Guardrail Layer
Robust alignment system and safety filters for adversarial testing and compliance.