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HomeLearning PathsAI Engineer
Advanced• 18 Weeks (12-15 hrs/wk)

AI Engineer

Build the skills needed for modern AI engineering.

Continue Path
7 Courses
Structured Curricula
6 Projects
Production Capstones
12 Challenges
Coding Katas
Certificate
Accredited Credential

Active Progress Tracking

1 of 6 Stages Completed (17%)
WHERE AM I?
Stage 2: Machine LearningIn Progress

Regression, classification, scikit-learn, evaluation metrics

WHAT COMES NEXT?
Stage 3: Deep LearningNext Up

Neural networks, PyTorch, CNNs, backpropagation

Roadmap Progression

Follow this linear, step-by-step engineering roadmap to complete the track.

Step 1PythonCompleted

Data structures, OOP, NumPy, vector operations

Review
Step 2Machine LearningActive

Regression, classification, scikit-learn, evaluation metrics

Continue
Step 3Deep Learning

Neural networks, PyTorch, CNNs, backpropagation

Explore
Step 4LLMs

Attention mechanisms, tokenization, Hugging Face, fine-tuning

Explore
Step 5AI Agents

LangGraph, autonomous loops, ReAct agents, tool binding

Explore
PR
Step 6Projects

Multi-tenant vector search, latency evaluation, production capstones

Explore
Target Career Outcome
AI Engineer, Machine Learning Specialist, Applied AI Architect
Credential: ASCI Certified AI Engineer
View Matching Roles
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