Certification
Certification in Building AI Agents with Python, LLMs, APIs & LangChain
Get certified in AI agent development with Python, LLMs, APIs & LangChain. Prove you can use Pandas/NumPy and SQL, integrate OpenAI/Gemini/Hugging Face, build FastAPI services, and ship tool-using agents that automate real work.

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 15 chapters of the course
20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.
- 01Python overview, variables and data types35:45
- 02Conditionals and loops35:06
- 03Functions, modules and packages23:45
- 04Python best practices19:07
- 05NumPy basics24:52
- 06NumPy universal functions13:46
- 07Matplotlib plots33:29
- 08Pandas: understanding a dataset36:36
- 09Missing values and modifying data15:44
- 10Databases and SQL20:25
- 11Hands-on SQLite20:58
- 12Working with and building APIs27:21
- 13Module project23:15
- 14ChatGPT, Gemini and Hugging Face APIs23:05
- 15Open-source LLMs and agent tools25:29
Python Essentials for AI Agents: LLMs, APIs & LangChain (Video Course) is a hands-on certification that shows you how to build autonomous, tool-using agents that don't need babysitting. By leveling up your Python, Pandas/NumPy, SQL, API, and LLM skills (OpenAI, Gemini, Hugging Face), you'll gain increased productivity, a competitive advantage, improved decision-making, and a future-proof career with higher income potential and plenty of adaptability and growth. Enroll now to connect it all with LangChain and FastAPI and ship an agent that actually gets work done.
This certification covers the following topics:
- Core Python for AI agents: data types, control flow, functions, modules, and Pythonic patterns
- Working with files: CSV and JSON parsing, validation, and serialization
- Numerical computing with NumPy for fast array operations
- Data manipulation with Pandas for cleaning, joining, and feature prep
- Databases and SQL fundamentals for querying and persistence
- Consuming external APIs: authentication, pagination, and rate limits
- Building production APIs with FastAPI (and Flask) for serving agents
- LLMs in practice: OpenAI, Gemini, prompt strategies, and evaluation
- Using open-source models via Hugging Face and model selection trade-offs
- LangChain for tool-using agents: tools, memory, chaining, and retrieval
- Security and key management, error handling, and performance tuning
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.