The Organising Materials and Thoughts with AI (Notebook LM) course is a concise, 12-hour practical training designed to help professionals and knowledge workers make the most of Google’s Notebook LM, an AI-powered research and productivity tool. Built on Google’s large language models, Notebook LM helps users organize notes, explore ideas, summarize content, and ask questions across documents — making it an essential productivity tool for writers, researchers, strategists, and project teams. This course offers hands-on instruction on how to create notebooks, import materials, generate insights, and automate the organization of complex information streams using AI. By the end of the course, participants will know how to turn scattered ideas and materials into structured, searchable, and actionable knowledge repositories with the support of generative AI.

The Prompt Engineer course is a 16-hour immersive training designed to teach professionals how to craft, evaluate, and fine-tune prompts for cutting-edge generative AI tools such as ChatGPT, Gemini, and Claude. As prompt engineering becomes a core competency in leveraging AI effectively, this course equips learners with the skills needed to communicate with large language models (LLMs) to generate accurate, useful, and controlled outputs. Participants will explore prompt structuring, context optimization, multi-turn interaction design, and model-specific nuances across different LLMs. With a strong focus on real-world use cases, this course empowers learners to apply prompt engineering for productivity, content generation, decision support, and more—making it ideal for professionals across industries adopting generative AI.

The Site Reliability Engineering (SRE) course is a 36-hour advanced training program designed for DevOps engineers, software developers, and IT operations professionals aiming to enhance system reliability, scalability, and observability. The course focuses on implementing SRE principles, including automation, monitoring, incident management, and performance optimization, to ensure high availability and robust application performance. Participants will gain hands-on experience in service-level objectives (SLOs), error budgets, incident response strategies, monitoring dashboards, and automation techniques. The program emphasizes real-world applications of SRE practices to improve system reliability and operational efficiency in production environments. By the end of the course, learners will be able to design and implement resilient, scalable systems and establish a proactive reliability culture in their organizations.