Antonio Cangiano, Instructor

Antonio Cangiano

Engineering Manager and AI Specialist

Bio

Antonio Cangiano is an Engineering Manager and AI Specialist with IBM, a published author, and blogger. He is passionate about the craft of programming, AI, online marketing, and entrepreneurship.

Courses - English

AI Systems, Automation, CI/CD and Data Engineering Workflows

Building AI Powered Chatbots Without Programming

Business Intelligence (BI) Essentials

Business Strategy: Creating Competitive Advantage

Capstone: Build and Operate an AI-Native Data Platform

Data Engineering Capstone Project

Data Warehouse Fundamentals

Data Warehousing Capstone Project

Databases and SQL for Data Science with Python

Django Application Development with SQL and Databases

Foundations of AI Native Data Engineering

Full Stack Software Developer Assessment

Generative AI: Boost Your Cybersecurity Career

Generative AI: Business Transformation and Career Growth

Generative AI: Elevate Your Data Science Career

Generative AI: Elevate your Data Engineering Career

Generative AI: Introduction and Applications

Generative AI: Prompt Engineering Basics

Generative AI: Transform Your Management Consulting

Getting Started with Git and GitHub

Hands-on Introduction to Linux Commands and Shell Scripting

IBM Data Analyst Capstone Project

Introduction to Artificial Intelligence (AI)

Introduction to Big Data with Spark and Hadoop

Introduction to Business Analysis

Introduction to Cloud Computing

Introduction to Cybersecurity Careers

Introduction to Data Engineering

Introduction to Management Consulting

Introduction to NoSQL Databases

Introduction to Relational Databases (RDBMS)

Introduction to Software Engineering

Introduction to Technical Support

Introduction to Web Development with HTML, CSS, JavaScript

Lakehouse Architecture for AI-Native Data Platforms

Product Management: An Introduction

Relational Database Administration (DBA)

Relational Database Administration Capstone Project

Reproducible Training Data and ML-Ready Data Pipelines

SQL for Data Science with R

SQL: A Practical Introduction for Querying Databases

UX Research and Information Architecture

Unstructured Data Engineering for AI

Vector Databases and Retrieval Data Engineering

What is Data Science?