SkillsBooster Academy

Python for AI Product Builders Specialization

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SkillsBooster Academy

Python for AI Product Builders Specialization

Build Reliable AI Applications with Python.

Write, integrate, test, and deploy production-ready AI applications with Python

Vasco Patrício

Instructor: Vasco Patrício

Included with Coursera PlusLearn more

Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • You will learn to write clean, reproducible Python and turn data from files and APIs into reliable inputs for AI models

  • You will learn to integrate LLM APIs into tested, validated, and deployable AI applications

Details to know

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Taught in English
Recently updated!

November 2026

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Specialization - 4 course series

Python Foundations for AI Development

Python Foundations for AI Development

Course 1, 2 hours

What you'll learn

  • You will learn to use Python’s core data types, lists, dictionaries, and functions to represent, validate, and process values for AI work

  • You will learn to set up reproducible, isolated, and maintainable Python projects with pip, virtual environments, and a clear structure

Skills you'll gain

Category: Software Architecture
Category: Data Validation
Category: Unit Testing
Category: Application Security
Category: Data Structures
Category: Data Processing
Category: Development Environment
Category: Scripting
Category: Application Development
Category: Python Programming
Category: Data Manipulation
Category: Software Engineering
Category: Computer Science
Category: Artificial Intelligence
Category: Software Development
Category: Git (Version Control System)
Category: Application Programming Interface (API)
Category: Generative AI
Category: Project Documentation
Category: Secure Coding
Data Ingestion and Preparation for AI

Data Ingestion and Preparation for AI

Course 2, 2 hours

What you'll learn

  • You will learn to load, fetch, and validate data from files and web APIs using Python, with explicit data contracts and secure credential handling

  • You will learn to clean, chunk, and format tabular and text data into token-aware, role-based inputs for AI models

Skills you'll gain

Category: Data Import/Export
Category: Secure Coding
Category: Artificial Intelligence
Category: Application Programming Interface (API)
Category: Python Programming
Category: Pandas (Python Package)
Category: Data Transformation
Category: Data Collection
Category: Large Language Modeling
Category: Data Validation
Category: Data Preprocessing
Category: Data Pipelines
Category: Restful API
Category: LLM Application
Category: Data Quality
Category: Data Wrangling
Category: Data Cleansing
Category: Generative AI
Category: Data Manipulation
Category: Prompt Engineering
Integrating Model APIs with Python

Integrating Model APIs with Python

Course 3, 2 hours

What you'll learn

  • You will learn to integrate LLM APIs with Python reliably, securely, and cost-effectively, from authentication and model selection to error handling

  • You will learn to build prompt-driven AI features using reusable templates, validated structured outputs, and retrieval-augmented generation

Skills you'll gain

Category: AI Security
Category: Generative AI
Category: Large Language Modeling
Category: Secure Coding
Category: Software Development
Category: Python Programming
Category: Natural Language Processing
Category: LLM Application
Category: Application Development
Category: Vector Databases
Category: Application Programming Interface (API)
Category: AI Workflows
Category: Prompt Engineering
Category: Restful API
Category: Retrieval-Augmented Generation
Category: Prompt Patterns
Category: Data Validation
Category: AI Integrations
Category: Tool Calling
Category: Artificial Intelligence
Shipping Production-Grade AI Code

Shipping Production-Grade AI Code

Course 4, 2 hours

What you'll learn

  • You will learn to structure maintainable AI code with scripts, functions, classes, modules, and packages

  • You will learn to test, expose, and deploy AI applications using pytest, FastAPI, Pydantic, and containers or serverless platforms

Skills you'll gain

Category: Test Automation
Category: Application Deployment
Category: Scripting
Category: Unit Testing
Category: Software Architecture
Category: Python Programming
Category: Software Engineering
Category: Serverless Computing
Category: Generative AI
Category: Object Oriented Programming (OOP)
Category: MLOps (Machine Learning Operations)
Category: Cloud Deployment
Category: Docker (Software)
Category: Software Development
Category: Model Deployment
Category: Application Development
Category: LLM Application
Category: Continuous Monitoring
Category: Restful API
Category: Application Programming Interface (API)

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Instructor

Vasco Patrício
SkillsBooster Academy
7 Courses1,205 learners

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