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Others Courses — tagged 'Artificial Intelligence'
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Artificial Intelligence Advance
Advanced AI solutions are crucial in real-world systems, especially within enterprises. Integration and operational practices, including MLOps and AI lifecycle management, are essential for effective deployment and maintenance. Addressing challenges such as data drift and latency ensures the models perform optimally after deployment.
Diljeet Singh
AI Course Fundamental
The chapter explores the future of artificial intelligence, contrasting narrow AI with artificial general intelligence (AGI), and discusses emerging trends such as explainable AI, edge AI, and automated machine learning. It outlines various career paths and research areas in AI, emphasizing the transformative potential of AI technologies and the importance of ethical considerations. It concludes by highlighting the need for adaptability in a rapidly evolving field.
Diljeet Singh
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Prompt Engineering fundamental course
The capstone project emphasizes the development of a prompt toolkit that consolidates knowledge of prompt design and addresses real-world challenges. By choosing from various tracks, learners are tasked with creating reusable prompt templates, evaluating their effectiveness, and demonstrating adaptability across contexts. The focus on usability, ethical guidelines, and iterative improvement encourages a comprehensive understanding of prompt creation.
Diljeet Singh
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