Free AI Courses You Can Take To Build High-Income Skills

Professionals who have expertise in artificial intelligence are significantly less likely to face layoffs. According to a survey conducted by the General Assembly among hiring managers and HR professionals in the tech sector, employees most at risk of being laid off are those whose roles are easily automated (45%). In contrast, individuals with AI-related knowledge and skills are far more secure in their positions, with 57% of employers indicating they’re least likely to be let go.

In a separate insight shared by IBM, nearly 62% of companies admit they’re falling short of meeting their business goals due to a lack of AI talent. The shortage of skilled professionals in this field creates a valuable opportunity for job seekers to stand out, especially in an increasingly competitive market for tech and remote roles.

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If you’re aiming to stay ahead of the curve, it’s essential to assess your current capabilities and identify how you can fill talent gaps in today’s workforce. Focusing on acquiring in-demand AI skills can help you become a strategic asset to employers.

To help individuals boost their AI proficiency, IBM has launched five free online courses through its SkillsBuild platform. These programs are self-paced, practical, and designed to be manageable alongside a busy schedule. They cover everything from foundational AI concepts to specialized tools and ethical considerations, equipping learners with real-world knowledge that today’s employers are actively seeking.

1. The Rise of Multiagent Systems

Discover how multi-agent systems operate and what sets them apart from single-agent setups. Learn how these systems work collaboratively to solve complex challenges across different industries, unlocking innovations.

2. Introduction to Retrieval-Augmented Generation (RAG)

Understand the core concepts behind RAG technology, its key applications, and the ways it enhances AI models by expanding their knowledge base. The course also outlines the main components of a RAG workflow.

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3. Unleashing the Power of AI Agents

Explore how AI agents function, their task execution capabilities, and their various types. You’ll also learn how to recognize use cases that benefit from AI agents and how they are transforming industries today.

4. Ethical Considerations for Generative AI

Examine the ethical principles of transparency, fairness, and accountability. This course delves into risks related to data inputs and AI-generated content, introducing IBM’s AI Risk Atlas as a tool for responsible development.

5. Introduction to Large Language Models (LLMs)

Get familiar with the functions and applications of large language models in business contexts. Learn about IBM’s Granite model family, how to craft effective prompts, and how to overcome challenges in model deployment.