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Certification

Certification in Building Python AI Agents, Resume Apps & TensorFlow Models

Get certified in Python AI app development. Build a tool-using agent, résumé critique app, and TensorFlow image classifier; handle prompts, secure keys, caching, preprocessing; ship Streamlit/LangChain apps employers can try.

Multiple-choice exam, 70% to passCertificate for LinkedInBeginner · Intermediate

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

What the exam covers

2 questions from each of the 7 chapters of the course

14 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Overview2:03
  2. 02Project demos2:15
  3. 03uv and dependencies2:56
  4. 04OpenAI API key1:38
  5. 05Project 1: AI agent15:17
  6. 06Project 2: resume critiquer22:38
  7. 07Project 3: TensorFlow21:33
About the course

Earn the 3 Python AI Projects for Beginners: Agent, Resume App, TensorFlow (Video Course) certification by building three practical apps from scratch: a tool-using agent, a résumé critiquer, and an image classifier. Master prompts, secure keys, caching, and preprocessing while shipping with Streamlit, LangChain, and TensorFlow,skills that drive Increased Productivity, Competitive Advantage, Improved Decision-Making, Adaptability and Growth, and Higher Income Potential for a Future-Proof Career. Enroll now to build portfolio-ready projects that translate directly into real-world impact.

This certification covers the following topics:

  • Tool-using AI agent with LangGraph and LangChain
  • Agent architecture, tool definition, and execution flow
  • LLM initialization, agent executor, and streaming interaction loop
  • Guardrails, secrets management, and safe tool expansion
  • Building a Streamlit résumé critiquer UI
  • PDF/TXT extraction with PyPDF2 and robust parsing
  • Prompt engineering for actionable feedback
  • Calling the OpenAI API and rendering results
  • Image classification with TensorFlow and MobileNetV2
  • Model loading, caching, and image preprocessing
  • Performance, security, and reliability best practices

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.