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AI & Machine LearningrouteCareer Aligned Arc

Michigan Engineering Professional Certificate in AI and Machine Learning

Rigorous academic and practical ML foundations. Code regression classifiers, custom neural matrices, unsupervised groupings, and reinforcement models.

scheduleTIMELINE: 6 Months
signal_cellular_altLEVEL: Advanced
menu_bookEXAMS: 3 Simulation Exams
Accrediting Board
verifiedUniversity of Michigan
Next Cohort Launches
calendar_month28th May '26
check_circleActive direct coaching with lead architects
check_circleHands-on server infrastructure labs
check_circlePost-certification placement and matching
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Syllabus Outcomes

doneWrite machine learning classifiers based on mathematical models.
doneDesign and optimize deep neural networks using PyTorch libraries.
doneDeploy reinforcement models inside simulated environment sandboxes.
doneAudit model accuracy, bias levels, and running data footprint.

Course Modules

Module 1

Statistical Foundations

  • Linear algebra derivations, calculus limits, and optimization math
  • Probability distribution functions and bayesian decision frameworks
  • Performing thorough data cleaning and anomalous value detection
Module 2

Supervised & Unsupervised ML

  • Coding regression and classification pipelines inside Python packages
  • Applying PCA dimensionality cuts and K-Means cluster groupings
  • Evaluating model precision graphs and validating ROC-AUC curves
Module 3

Deep Learning Architectures

  • Designing feedforward, CNN, and simple RNN networks in PyTorch
  • Configuring optimizer math (Adam/SGD) and loss functions
  • Preventing model overtraining using standard regularization runs
Module 4

Reinforcement Learning & Capstone

  • Formulating Markov Decision Models and calculating state rewards
  • Deploying reinforcement agents inside simulated game sandboxes
  • Defending finished machine learning projects to engineering panels

Core Skill Matrix

ML MathPython SciKit-LearnPyTorch NetworksReinforcement LearningModel Evaluation

Study Preparation

  • auto_storiesAll visual slides and technical blueprint guides included.
  • terminalAccess to simulated exam networks and sandbox setups.
  • groupDirect Slack and forums channels with certified alumni.