Fundamentals of Modern AI

This comprehensive AI training program aims to introduce entry-level individuals to the fundamentals of Artificial Intelligence (AI) and its various applications. Students will explore key AI concepts, tools, and ethical considerations. The course includes lectures, demonstrations, and hands-on labs, concluding with a final exam to assess understanding and readiness to apply AI knowledge in their careers.

Duration

3-4 days

Audience

Entry-level individuals with basic internet and Microsoft Office/Google Workspace skills who are looking to transition into AI-related roles or enhance their career prospects with AI knowledge.

Prerequisites

Basic proficiency in internet navigation and Microsoft Office/Google Workspace. No prior AI knowledge is required.

Learning Outcomes

• Describe the historical evolution of AI, from early rule-based systems to modern machine learning and generative models.
• Explain core AI concepts, including machine learning, deep learning, and neural networks, and how they power today’s intelligent systems.
• Differentiate between traditional machine learning models and foundational models, including large language models (LLMs) and diffusion models used in generative AI.
• Explain how chatbots work and apply prompt engineering techniques to improve interaction quality.
• Evaluate the role of AI assistants and copilots in enhancing digital workflows.
• Demonstrate how embedded AI tools can automate or augment content creation, data processing, and communication.
• Identify popular languages, tools, and platforms used in AI development, such as Python, TensorFlow, AWS, etc.
• Describe how cloud computing supports scalable AI applications and understand the role of APIs and model hosting in deploying AI solutions.
• Outline the key steps for planning and building an AI-ready organization, including data readiness, talent development, and process integration.
• Apply principles of responsible and ethical AI use
• Understand what agentic AI is and how it differs from traditional AI systems.
• Explore use cases and applications of agentic AI.
• Learn about ethical considerations and risks of Agentic AI.
• Get hands-on experience with basic agentic AI tools.
• Explore use cases of AI tools in data science.
• Gain exposure to using AI for generating and explaining simple SQL, R, and Python code.
• Understand functionality of Microsoft Office Copilot and Power BI in data analysis
• Understand basics of how Tableau supports AI-augmented data visualization

This course will equip students seeking the following:

1. Career Transition: Ideal for those seeking to start or advance a career in AI.
2. Practical Skills: Hands-on experience with AI tools and technologies that are highly demanded in various industries.
3. Comprehensive Coverage: Learn a wide range of AI applications, from general AI concepts to specialized tools and ethical considerations.
4. Credential: Completion of the course and passing the final exam will provide a Certificate of AI Fundamentals competency.

Endorsements

“UMBC Training Centers’ Fundamentals of Modern AI course is perfect for AI novice or enthusiasts for real, grounded and immediately applicable skills that can make them immediately relevant and valuable to current and potential employers.”

• Tushar Rathod, CEO, Vedic Professional Services

“The Fundamentals of Modern AI course provides a comprehensive and practical introduction to the world of artificial intelligence. Through engaging lectures, hands-on labs, and real-world examples, students gain a solid understanding of key AI concepts, tools, and applications that are highly relevant for today’s job market. Whether you’re looking to transition into an AI-related career or simply want to enhance your skills, this course is an excellent starting point that will equip you with the knowledge and confidence to start applying AI in your work.”

• Jose Arrieta, CEO, imagineeer, former Chief Information Officer and Chief Data Officer of the United States Department of Health and Human Services.

Register 21 days before class start date and save 10%! Enter discount code EARLY10 during registration.

Register 21 days before class start date and save $250! Enter discount code EARLY250 during registration.

Is there a discount available for current students?

UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Asynchronous courses are excluded from this offer.

What is the cancellation and refund policy?

Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.