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Discover 13 Complimentary AI Courses to Acquire Lucrative Expertise in 2025

Prepared to advance in your professional journey? Explore these 13 complimentary AI classes to enhance particular AI competencies that offer lucrative pay and are in great demand by 2025.

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Individual Engaging in Note-taking Near Laptop, Surrounded by Virtual AI Architecture
Individual Engaging in Note-taking Near Laptop, Surrounded by Virtual AI Architecture

Discover 13 Complimentary AI Courses to Acquire Lucrative Expertise in 2025

In the very same week that DeepSeek launched its new LLM, there was a surge in Google searches for "AI education." This surge in interest is not unfounded. According to Coursera's latest Job Skills 2025 report, there's a significant cloud skills gap with millions of jobs going unfilled. AWS training and certification director Jenni Troutman echoes this sentiment, stating that 47% of executives feel their teams lack the necessary AI skills to succeed at work. This skills gap is not unique to AWS; IBM recently conducted a study that revealed the same issue.

AI, big data, and cloud skills are critical and are among the fastest-growing skills of 2025, according to Coursera's analysis. However, Troutman stresses that the greatest change you need to prepare for is in the tools you use to perform your role. In other words, it's not just about learning the basics of generative AI. If your role is more technical, you need to be proficient in advancing and collaborating with AI-powered tools. This will make your work more innovative and creative.

To help you direct your upskilling efforts this year, we've compiled a list of highly specific AI courses that will boost your value in the job market. These courses are free and will help you understand AI-powered tools and how to integrate and tailor them effectively for work purposes.

  1. Neural Networks, part of ML Concepts by Google for Developers
  2. Introduction to Computer Vision and Image Processing, by IBM, via Coursera (financial aid is available)
  3. Intro to PyTorch and Neural Networks by Codecademy (certificate requires a paid subscription)
  4. Machine Learning crash course, by Google for Developers
  5. Machine Learning Specialization by Andrew Ng, via Coursera
  6. Applied Machine Learning in Python, by the University of Michigan, via Coursera

IBM SkillsBuild has also recently introduced a series of courses that are worth checking out:

Entrepreneurial Female Examining Potential Opportunity
  1. Explore Text-to-Speech Using Generative AI, by IBM SkillsBuild
  2. Build Your First Chatbot, by IBM SkillsBuild
  3. Using Generative AI for Software Development, by IBM SkillsBuild
  4. IBM Granite Models for Software Development, by IBM SkillsBuild
  5. Classifying Data Using Open Source LLMs, by IBM SkillsBuild
  6. Summarizing Data Using IBM Granite, by IBM SkillsBuild

To create an effective AI learning action plan for the year, follow these steps:

  1. Outline key responsibilities and tasks in your role.
  2. Identify areas where AI might be able to help you be more effective in your current job.
  3. Map out core skills and areas where you need to brush up your AI competency relevant to your job.
  4. Use the list of courses and free resources to help you figure out where to start.
  5. Set yourself a deadline to complete the courses you select.
  6. Network with other professionals enthusiastic about AI and ask them how they're applying their newfound skills to their work.

Careers and skill sets within STEM offer the highest salaries. For example, obtaining GenAI skills can boost your salary by up to 47%, according to Indeed. Embracing AI and machine learning is essential for professionals in today's job market. So, which course are you going to start this year?

  1. The surge in Google searches for "AI education" is a clear indication that many individuals are recognizing the importance of free AI courses, such as the ones offered by Google for Developers, to enhance their skills in neural networks and machine learning.
  2. In an effort to address the widespread skills gap in AI, IBM SkillsBuild has introduced a variety of holographic courses, including Text-to-Speech Using Generative AI and Building Your First Chatbot, which are designed to help individuals collaborate with AI-powered tools and advance their technical roles.
  3. To succeed in today's job market, professionals must not only learn the basics of AI but also become proficient in using AI tools like PyTorch and LLMs, as these are among the critical and rapidly growing skills highlighted in the LLMs report by LLMs providers like Codecademy and Coursera.

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