Great Learning
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PGP-AIFL the course for all Future Leaders
I recently completed the AI for Leaders post-graduate program at Great Learning, and it has been an eye-opening and transformative experience that I believe will benefit me for years to come. As a Healthcare enthusiast and business leader, the program has provided me with the technical understanding of artificial intelligence (AI) and its practical applications, while also emphasizing leadership strategies to effectively manage and implement AI-driven solutions in medical and business realms. This program has not only deepened my technical acumen but also shaped the way I view the future of things in an increasingly AI-powered world. The AI for Leaders program is structured in a way that provides a deep dive into key aspects of artificial intelligence, blending theoretical knowledge with practical insights, all while remaining highly relevant to leadership roles in any discipline. The program was delivered through a combination of prerecorded sessions, practical exercises, and online industry sessions that brought in real-world perspectives from professionals actively shaping the AI field. The modules covered included; 1. Generative AI This module was fantastic and relevant, focusing on supervised and unsupervised learning, Discriminative and Generative AI, Large Language Models (LLM), Transformers and Prompt Engineering. 2. Deep Learning for Leaders Deep learning was one of the most exciting fields within the AI course, and this module provided an essential overview of deep learning. Areas covered included; Introduction to Natural Language Processing, Different tasks in NLP, How are NLP problems solved?, Building an NLP model, Sentiment analytics and Case studies that helped to put theory into perspective. 3. Discovering Patterns in Data Another valuable aspects of the program was learning how to identify and harness patterns within large datasets. The module focused on Segmenting datasets, detecting anomalies, clustering and dimensionality reduction. I particularly appreciated how the course linked these techniques to real life applications, helping me realize how data analysis can provide critical insights into things like customer behavior, market trends, and operational efficiency. This knowledge is especially important in the context of making data-driven decisions. 4. Neural Networks and Ensemble Techniques In this module, we explored the underlying structure of neural networks and how they can be used. The course started with Introduction to Neural Networks before diving into Activation Functions, Feed Forward Neural Network, Error and Loss Function, Optimization, Gradient Descent and Backpropagation and Learning Rate and Momentum 5. Data Modeling This was another hands-on module that provided practical experience in building and validating data models. We learned various types of data and their sources, commonly used statistical methods. We also covered model evaluation techniques such as cross-validation and performance metrics. What stood out was how this module emphasized the importance of interpreting model results and using these insights. 6. The Business of AI The other module we covered was The Business of AI which was an eye openers on matters AI. The module covered; Where is AI used (and what it’s not)?, Categorization of common business problems in AI, Making the business case for the use of AI & ML, The AI & ML landscape – ROI calculation for AI projects And even included Case study to ensure we understood the broader implications of AI, including its potential for creating new business models, its impact on workforce dynamics, and the ethical considerations that come with AI adoption. The program’s delivery format was well-suited for busy professionals like myself. The prerecorded sessions were engaging, detailed, and easy to follow, allowing me to learn at my own pace while still gaining a deep understanding of complex topics. The quality of the content was consistently high, with instructors providing clear, structured explanations of key concepts. The practice exercises were an integral part of the learning process. They allowed me to apply what I had learned and see firsthand how AI can solve real-world business problems. These exercises were well-designed, progressively increasing in complexity, and provided instant feedback, which was critical for reinforcing the material. The quizzes offered regular checkpoints to test our knowledge and ensure we were absorbing the content effectively. . I highly recommend this program to anyone in a leadership position who wants to better understand AI and harness its power for business transformation.