Course

Credit Type:
Course
ACE ID:
IBM-0035
Version:
2
Organization:
Location:
Online
Length:
13 weeks (134 hours)
Minimum Passing Score:
70
ACE Credit Recommendation Period:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 Artificial Intelligence
Upper-Division Baccalaureate 3 Software Development
Upper-Division Baccalaureate 3 Web Development
Upper-Division Baccalaureate 3 AI Development
Upper-Division Baccalaureate 3 Data Science
Description

Objective:

This Professional Certificate is offered through Coursera, an ACE Authorized Instructional Platform.

The objective of this program is to introduce learners to the foundational and practical applications of Artificial Intelligence, using IBM watsonx and other leading tools in the AI ecosystem. Designed for professionals looking to integrate AI into their business strategies, this certificate equips learners with the knowledge to build, deploy, and monitor AI-powered solutions.

Throughout the program, students explore key concepts such as machine learning, natural language processing, computer vision, and AI ethics. Learners will gain hands-on experience through interactive labs, projects, and real-world use cases using IBM watsonx Studio, Watson Assistant, and AutoAI. By the end of the course, students will be able to develop and integrate AI-powered chatbots, build classification models, and apply responsible AI principles.

This Professional Certificate is ideal for early-career professionals, business leaders, and technologists interested in the rapidly evolving field of AI. It is also suited for individuals seeking to future-proof their careers by gaining practical AI skills that can be applied across industries and roles.

Learning Outcomes:

  • Build generative AI-powered apps and chatbots using various programming frameworks and AI technologies
  • Apply the fundamental concepts, key terms, building blocks, and applications of AI, encompassing generative AI
  • Develop and deploy AI applications on the web using Python and Flask

General Topics:

  • Software Engineering Job Search and Analysis
  • The Software Development Lifecycle
  • Basics of Programming
  • Introduction to Software Development
  • Job Opportunities and Skillsets in Software Engineering
  • Software Architecture, Design, and Deployment Topologies
  • Introduction to Artificial Intelligence (AI)
  • AI Concepts, Terminology, and Application Domains
  • Business and Career Transformation Through AI
  • Introduction and Applications of AI
  • Applications and Tools of Generative AI
  • Introduction and Capabilities of Generative AI
  • Prompt Engineering for Generative AI
  • Prompt Engineering: Techniques and Approaches
  • HTML Overview
  • Python Data Structures
  • Python Programming Fundamentals
  • Working with Data in Python
  • APIs and Data Collection
  • Python Coding Practices and Packaging Concepts
  • Web App Deployment using Flask
  • Image Captioning with Generative AI
  • Create Your Own ChatGPT-like Website
  • Create a Voice Assistant
  • Generative AI-Powered Meeting Assistant
  • Summarize Your Private Data with Generative AI
  • Babel Fish with LLM and STT TTS
  • Generative AI and Software Development
  • Advanced concepts in Generative AI for Software Development
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Computer Based Training
  • Discussion
  • Practical Exercises
  • Project-based Instruction

Methods of Assessment:

  • Examinations
  • Other
  • Quizzes
  • Peer review graded projects with rubric
Supplemental Materials
Equivalencies