IBM AI Developer Professional Certificate Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This professional certificate program is designed for beginners and provides a comprehensive introduction to artificial intelligence, with a focus on practical, hands-on learning. The curriculum covers foundational AI concepts, Python programming, chatbot development, computer vision, and real-world AI application development using IBM Watson services. Learners will complete hands-on projects and a capstone to build a professional portfolio. The program requires approximately 10 hours per week over 3–4 months to complete all modules and earn the certificate.

Module 1: Introduction to Artificial Intelligence (AI)

Estimated time: 12 hours

  • Understand the fundamentals of AI and its real-world applications
  • Explore how AI impacts industries and daily life
  • Learn about machine learning, deep learning, and neural networks
  • Examine ethical considerations and challenges in AI development

Module 2: Python for Data Science, AI & Development

Estimated time: 20 hours

  • Learn Python programming basics including variables and data types
  • Work with data structures such as lists, dictionaries, and loops
  • Define and use functions in Python for AI applications
  • Use Jupyter notebooks for interactive coding and data visualization

Module 3: Building AI Powered Chatbots Without Programming

Estimated time: 10 hours

  • Design conversational flows for chatbots using IBM Watson Assistant
  • Build and customize chatbots without writing code
  • Understand principles of user interaction in conversational AI
  • Deploy chatbots on websites or messaging platforms

Module 4: Building AI Applications with Watson APIs

Estimated time: 12 hours

  • Integrate IBM Watson APIs into applications
  • Use Watson Visual Recognition to analyze images
  • Apply Natural Language Understanding to interpret text
  • Create AI-powered apps that process unstructured data

Module 5: Introduction to Computer Vision and Image Processing

Estimated time: 14 hours

  • Learn the fundamentals of computer vision
  • Use OpenCV for image and video processing
  • Apply techniques to detect and analyze visual patterns
  • Develop applications that interpret visual information

Module 6: AI Capstone Project with Deep Learning

Estimated time: 16 hours

  • Design an AI-powered application using skills from the program
  • Build and deploy a solution using IBM Watson services
  • Demonstrate problem-solving with AI technologies

Prerequisites

  • No prior programming or AI experience required
  • Basic computer literacy and internet navigation skills
  • Access to a modern web browser and IBM Cloud account

What You'll Be Able to Do After

  • Explain core AI concepts and their industry applications
  • Write Python code for data processing and AI development
  • Build and deploy no-code AI chatbots using Watson Assistant
  • Integrate Watson AI services into real-world applications
  • Create computer vision applications using OpenCV
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