Skip to content
CBT Nuggets

PCEI – Certified Entry-Level AI Specialist with Python

Turn Python basics into AI skills that pay. This PCEI certification training prepares you for the Entry-level AI Specialist with Python certification, perfect for AI beginners who want to level up. This PCEI certification training will show you how to analyze datasets, implement basic AI logic, and evaluate the capabilities and limitations of AI models. You’ll write real AI-style algorithms in Python, work with small datasets, and explore machine learning, neural networks, and generative AI at a practical level. Most importantly, you’ll build portfolio-ready projects you can showcase for employers, all while preparing for the Python AI certification exam.

Updated April 2026

48Skills
253Videos
39h 23mTotal
253 videos39h 23m

Who This Course Is For

This course is ideal for aspiring Python AI developers, students, and career changers who know some Python and want to advance with AI in a structured way. It’s also a good fit for developers who want to create simple AI systems they can show in interviews or add to a portfolio.

Skills Your Team Will Gain

  • [
  • 'Implement basic AI algorithms using Python',
  • 'Analyze and prepare small datasets for machine learning tasks',
  • 'Explain supervised, unsupervised, and reinforcement learning concepts',
  • 'Apply foundational neural network and generative AI principles',
  • 'Evaluate AI model outputs for accuracy bias and reliability',
  • 'Communicate AI project results using visualizations and clear summaries'
  • ]

Course Curriculum

  • Premium skill.Build Your First Machine Learning Algorithm47m
  • Premium skill.Measuring and Improving Performance50m
  • Premium skill.Basics of Data Normalization47m
  • Premium skill.Creating Reusable Machine Learning Models49m
  • Premium skill.Basics of Linear Regression49m
  • Premium skill.Introduction to Gradient Descent48m
  • Premium skill.Basics of Decision Trees1h 1m
  • Premium skill.Basics of Clustering Algorithms50m
  • Premium skill.Clustering Algorithms In-Depth46m
  • Premium skill.Introduction To Neural Networks48m
  • Premium skill.Connecting Neurons Into Simple Networks47m
  • Premium skill.Training Individual Neurons With Gradient Descent46m
  • Premium skill.Applying Neurons To Real-World Data44m
  • Premium skill.Working With Non-Numerical Data46m
  • Premium skill.Creating Layers and Neural Networks46m
  • Premium skill.Training Neural Networks With Backpropagation48m
  • Premium skill.Applying Neural Networks To Real-World Data50m
  • Premium skill.Vanilla Python Data-Wrangling - Basics48m
  • Premium skill.Vanilla Python Data Wrangling - Intermediate50m
  • Premium skill.Basic Statistics For Machine Learning47m
  • Premium skill.The Python Collections Module48m
  • Premium skill.Working With Randomness48m
  • Premium skill.The Itertools Module For Machine Learning50m
  • Premium skill.Slicing And Filtering Stream Data49m
  • Premium skill.Transforming and Grouping Stream Data52m
  • Premium skill.Creating Simple Data Pipelines47m
  • Premium skill.Advanced Data Pipeline Concepts47m
  • Premium skill.Incremental Computation With Streams47m
  • Premium skill.Working With Vectors46m
  • Premium skill.Working With Matrices48m
  • Premium skill.Understanding Derivatives and Gradients57m
  • Premium skill.Implementing A Neural Network With Matrix Math49m
  • Premium skill.Training A Neural Network With Matrix Math1h 3m
  • Premium skill.Building Naive Bayes Classifiers48m
  • Premium skill.Basics of Reinforcement Learning52m
  • Premium skill.Going Deeper With Reinforcement Learning50m
  • Premium skill.Market Basket Analysis Basics50m
  • Premium skill.Market Basket Analysis In-Depth50m
  • Premium skill.Basics of Natural Language Processing (NLP)48m
  • Premium skill.Basics of Generative AI And LLMs48m
  • Premium skill.Working with NumPy Arrays48m
  • Premium skill.Working With Pandas54m
  • Premium skill.Pandas Data Manipulation47m
  • Premium skill.Data Cleaning For Machine Learning53m
  • Premium skill.Pandas Data Cleaning Walkthrough48m
  • Premium skill.Data Visualization Basics46m
  • Premium skill.Measuring Model Performance48m
  • Premium skill.Identify Ethical Risks and Safety Concerns in AI50m

Certification

Certified Entry-Level AI Specialist with Python

The Certified Entry-Level AI Specialist with Python certification by Python Institute validates foundational knowledge and skills in artificial intelligence using Python. It is designed for individuals starting their career in AI, including students,...

Exam PCEI-30-01Level ProfessionalDifficulty BeginnerCost $69
Python programmingAI fundamentalsData analysisMachine learning basics
Official certification page

For IT leaders

What IT leaders need to know before assigning this course

AI pilots often stall when teams can call a library but cannot explain why a model behaves the way it does. This PCEI-aligned training gives IT Practitioners a shared Python-based foundation in machine learning, data preparation, model evaluation, neural networks, data pipelines, and entry-level AI concepts such as NLP, generative AI, and LLMs. It is a strong fit for IT Directors or Training Managers building an AI-ready bench of junior developers, data-focused IT staff, or automation-minded practitioners who already have some Python exposure.

The time investment is meaningful: the listed curriculum alone is more than 32 hours, plus 8 additional skills. Team Leads should plan this as a structured upskilling path rather than a one-week cram. This is not a governance or compliance-policy course; its risk value is technical—helping teams reduce poor model decisions caused by weak data normalization, shallow validation, or misunderstood algorithms. CBT Nuggets Playlists can help Training Managers assign the course in stages, while Team Reporting supports progress visibility across the team.

Team Impact

How this training helps your team succeed

IT teams complete this training to move from AI awareness to practical, explainable implementation in Python. The course emphasizes building core techniques from the ground up, so teams can better troubleshoot models instead of treating AI systems as black boxes.

  • Improve model quality: Teams learn to measure performance with train-test splits, cross-validation, hyperparameter tuning, and accuracy scoring rather than relying on guesswork.
  • Reduce data-prep errors: Practitioners work through normalization, data wrangling, slicing and filtering stream data, and simple data pipelines that support more reliable inputs.
  • Support applied AI use cases: The curriculum covers regression, decision trees, clustering, Naive Bayes classifiers, market basket analysis, NLP, and generative AI/LLM basics.
  • Build explainable foundations: Neural networks, gradients, backpropagation, vectors, matrices, and matrix-based training help teams understand how models learn and where failures can occur.

After completion

Knowledge & ability your team will gain

Knowledge

  • Core machine learning concepts, including supervised learning, clustering, regression, classification, and reinforcement learning basics.
  • Why normalization techniques such as Z-score standardization, min-max rescaling, and max-absolute scaling affect model performance.
  • How model evaluation works through train-test splits, K-fold cross-validation, hyperparameter tuning, and accuracy scoring.
  • Foundational neural network concepts, including neurons, layers, gradients, backpropagation, vectors, and matrices.
  • Entry-level AI application areas, including NLP, generative AI, LLMs, and market basket analysis.

Ability

  • Build a first machine learning algorithm in Python and create reusable model code.
  • Prepare data using vanilla Python data-wrangling techniques, collections, randomness, itertools, filtering, grouping, and stream processing.
  • Implement and compare algorithms such as KNN, linear regression, decision trees, clustering, and Naive Bayes classifiers.
  • Create simple data pipelines and apply incremental computation with streams.
  • Train basic neural networks using gradient descent, backpropagation, and matrix math.

This course is included with every subscription

Get your team access to all 559 courses, virtual labs, and practice exams.

Most Popular

Team

$749per seat / year

5+ learner seats

Get Started

Enterprise

Customannual contracts

Any size

Contact Enterprise Sales
Calculate the ROI of training your team

Trusted by 23,000+ organizations

Frequently Asked Questions

Ready to upskill your team?

Talk to our sales team to find the right plan for your organization.