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ISACA equips IT professionals with the latest skills in machine learning (ML) and deep learning (DL) technologies as industries rapidly integrate AI. Building on the introductory course ‘AI Fundamentals’, ISACA has done this two new courses to take you beyond theory and into practical business applications of these powerful AI techniques.
The first new course, ‘Machine Learning for Business Enablement’, gives you a solid foundation in the domains and lifecycle of ML projects. After completing this course, you will know how to identify suitable ML use cases, weigh the pros and cons of different ML algorithms, and make smart decisions about implementing ML in your enterprise. The structure of the course covers the three major ML approaches – reinforcement, unsupervised, and supervised learning – so you understand the unique strengths of each approach. Core principles of ML such as data preprocessing, model training, and model performance evaluation are also covered in depth.
Most importantly, you apply all this new knowledge by participating in hands-on labs and real-world case studies. The laboratory activities allow you to use ML techniques to optimize recommendation systems, perform customer segmentation, predict costs and analyze sentiment. Short quizzes throughout the course will help you strengthen your understanding of the key concepts covered.
Once you’ve successfully completed ‘Machine Learning for Business Applications’, you’ll be ready to expand your knowledge of ML even further by taking ‘Machine Learning: Neural Networks, Deep Learning, and Large Language Models’, a course that addresses the specific aspects of ML. more advanced AI technologies.
You’ll start by learning about neural network architectures and how they can be specialized for different data types and tasks, such as transforming raw image and text input into numerical data, or vectors, that can be processed by machines. The core components of neural networks, such as hidden layers, activation functions and backpropagation, are also discussed in detail. You will explore specialized network architectures such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), and learn about innovations driving recent developments in large language models (LLMs) and generative artificial intelligence (Gen AI), including transformer models and attention mechanisms .
Given the importance of responsible use of AI, the course also covers important and current topics such as rapid engineering and dealing with model issues such as hallucinations. Not only will you learn how to use these powerful AI tools, but you will also learn how to use them responsibly and effectively.
By the end of the course, you will be able to explain how different AI systems work, assess their strengths and weaknesses, and promote their use to address a wide range of business use cases.
ML pioneer Pedro Domingos said: “Machine learning will not single-handedly determine the future, any more than any other technology; it’s what we decide to do with it that counts, and now you have the tools to decide. (Domingos, P., The master algorithm, 2015). As always, ISACA’s latest course offerings aim to also give you the tools you need to succeed. Whether you want to improve existing systems, try innovative solutions, or gain a deeper understanding of transformative AI technologies, ISACA’s “Machine Learning for Business Enablement” and “Machine Learning: Neural Networks, Deep Learning, and Large Language Models” will help meet your needs.