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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
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
This chapter outlines a comprehensive capstone-style project for business analysts to simulate real-world scenarios, focusing on the end-to-end process from requirement elicitation to presentation. It details structured phases including identifying stakeholders, documenting requirements, modeling systems, and presenting findings, effectively encapsulating critical skills and deliverables necessary for business analysis. Students are encouraged to adapt the case scenario to different domains, fostering creativity and practical application of learned techniques.
Jaspreet
Performance Testing is a crucial non-functional testing technique focused on evaluating the behavior of systems under various workloads to ensure efficiency and reliability. It encompasses different testing types like Load Testing, Stress Testing, and Spike Testing, each targeting specific performance aspects. Tools like Apache JMeter facilitate the execution of these tests, allowing testers to analyze response times, throughput, and error rates effectively.
Jaspreet
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