4 July 2024

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This article delves into IBM's AI Fundamentals program

The field of artificial intelligence (AI) has witnessed significant advancements, with IBM standing as a longstanding player in the industry. This article delves into IBM’s AI Fundamentals program, hosted on its SkillsBuild learning portal, offering readers an in-depth understanding of the content, structure, and overall experience of the courses.

IBM’s AI Journey

Before the prominence of ChatGPT, IBM’s Watson had already made waves, particularly in 2011 when it triumphed over Jeopardy champion Ken Jennings. Known for its extensive history in AI, IBM continues to innovate with Watsonx, a generative AI solution aimed at empowering businesses with tailored machine learning and generative AI capabilities.

The AI Fundamentals Program

IBM’s AI Fundamentals program is positioned within the SkillsBuild learning portal, providing a comprehensive educational experience. The program is designed to be completed in approximately ten hours, spread across six courses. The courses cover a range of topics, offering participants a well-rounded understanding of AI principles and applications.

AI Ethics Course Overview

One of the courses offered in the program is AI Ethics. The course effectively explores the challenge of balancing technology with ethical responsibility. Key topics include the five pillars of AI ethics, fairness, bias avoidance, transparency, explainability, and robustness against attacks. The course also emphasizes governance, personal data protection, privacy through data minimization, and differential privacy.

Course Structure and Format

The AI Fundamentals program cover a range of topics which includes:

  1. Artificial Intelligence Fundamentals Learning Plan: Explores AI history, predictions, language understanding, image analysis, machine learning model building, and tips for pursuing a career in AI.
  2. Introduction to Artificial Intelligence: Surveys AI history and its ability to analyze complex data, shedding light on unstructured data.
  3. Natural Language Processing and Computer Vision: Explores the theory of natural language and vision processing, showcasing real-world applications such as chatbots and photo analysis.
  4. Machine Learning and Deep Learning: Investigates how machines learn and make predictions, delving into AI systems inspired by human brain neurons.
  5. Run AI Models with IBM Watson Studio: Offers hands-on experience in creating AI machine learning models using IBM Watson Studio.

Your Future in AI:

The Job Landscape provides insights into the growing AI job market, required skills, and real professionals’ career journeys.

Course Highlights

The courses delve into various AI aspects, offering a better understanding of generative AI processes. The vendor-agnostic approach is maintained, with some specific IBM Watson courses providing insights into IBM’s AI solutions. The AI Ethics section stands out for its real-world examples, emphasizing the implementation and importance of ethical considerations in AI systems.

Certificate and LinkedIn Integration

Upon completion of the program, participants receive an official certificate and a verifiable training certificate is added to LinkedIn. The certificate adds value to the professional profile, showcasing expertise in AI fundamentals.

Conclusion

The IBM AI Fundamentals program proves to be a valuable and enriching experience, offering a comprehensive overview of AI principles. The diverse range of courses, hands-on simulations, and engaging content contribute to a holistic learning journey. Aside this, there also is IBM’s free Fundamentals of Sustainability and Technology course, also available on SkillBuild, with insights into sustainability and a verifiable credential.

In summary, IBM’s AI Fundamentals program emerges as a commendable resource for individuals seeking to enhance their understanding of AI or pursue a career in this dynamic field.

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