In today’s data-driven world, understanding the fundamentals of artificial intelligence is no longer optional—it’s essential. Whether you're a business professional, aspiring data analyst, or curious innovator, AI Essentials at Texas Business School equips you with the foundational skills to understand, evaluate, and apply AI technologies responsibly. In just one month, this fast-paced program demystifies machine learning, neural networks, and automation tools in a hands-on, easy-to-grasp format—no coding background required.
Professional Certificate in AI Essentials
Duration: 1 Month (3 sessions/week) | Format: Live Online or In-Person | Total Estimated Learning Hours: ~24
For: Non-technical professionals, beginners, managers, early-career technologists
Skill Level: Beginner
Program Overview
AI Essentials is a 4-week crash course designed to build a strong foundation in artificial intelligence concepts without overwhelming learners with code. Through engaging lectures, demos, and group activities, participants gain practical insight into how AI works, where it applies in business and society, and how to assess opportunities and risks. No technical background is required—just curiosity and a desire to understand the tech shaping tomorrow
Core Courses
1. Introduction to Artificial Intelligence
Hours: 6
Prerequisites: None
Summary:
Discover what AI is, how it evolved, and why it matters today. Explore real-world use cases across industries and understand key AI terminology.
Learning Outcomes
- Define artificial intelligence, machine learning, and deep learning
- Identify major breakthroughs in AI history
- Understand AI's applications in business, healthcare, finance, and more
- Recognize ethical concerns and bias in AI systems
2. Machine Learning Made Simple
Hours: 6
Prerequisites: Course 1
Summary:
Learn how machines “learn” from data through supervised and unsupervised learning models. Explore real-life algorithms like recommendation engines and fraud detection.
Learning Outcomes
- Explain how algorithms identify patterns and make predictions
- Distinguish between supervised, unsupervised, and reinforcement learning
- Analyze use cases like Netflix recommendations and spam filtering
- Understand dataset quality and AI performance basics
3. AI in the Real World: Tools & Applications
Hours: 6
Prerequisites: Course 2
Summary:
Get hands-on exposure to beginner-friendly AI tools like ChatGPT, Google AutoML, and IBM Watson. Learn how non-coders can use AI to enhance productivity and business intelligence.
Learning Outcomes
- Use beginner AI tools to create real outputs (e.g., text generation, data classification)
- Apply AI to simple decision-making workflows
- Understand AI-powered business tools (chatbots, automation, analytics)
- Evaluate the pros and cons of AI adoption in teams
4. AI Futures, Ethics & Strategy
Hours: 6
Prerequisites: Course 3
Summary:
Explore the future of work with AI, potential job impacts, AI governance, and how to align AI with ethical values and business goals.
Learning Outcomes
- Discuss major concerns around AI bias, privacy, and job displacement
- Understand governance frameworks and explainable AI (XAI)
- Identify strategic opportunities for responsible AI in business
- Plan next steps for learning or deploying AI in your role
Ready to Transform Your Career?
Innovation won’t wait—and neither should you. Enroll in AI Essentials at Texas Business School to gain the core skills needed to understand and apply AI in a world driven by data and intelligent systems. This is your opportunity to join the next wave of forward-thinkers—curious, informed, and ready to shape the future with AI.
Register Now