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Apply generative AI in data science work: how GenAI tools work, machine learning model fundamentals, data augmentation, and ethical considerations, plus their capabilities and limitations.
Build a marketing automation strategy with ChatGPT and HubSpot: add contact records, publish an automated lead nurturing workflow with lead scoring, and visualise campaign performance in a dashboard.
Learn to apply strategic thinking to business objectives, use financial information for informed decisions, and shape organizational dynamics that strengthen team performance and company culture.
Learn the strategies businesses use to cut environmental impact: calculate carbon footprints, assess supply chain sustainability, apply ESG criteria to investment, and read sustainability reporting frameworks.
Diagnose and resolve complex software and network incidents, manage network equipment, and explain solutions to non-technical stakeholders through current IT case studies.
Use ChatGPT and GitHub Copilot for basic and advanced code completion, evaluating AI coding tools to accelerate tasks, reduce errors, and improve code quality.
Design a product-launch social media campaign: craft ChatGPT prompts for strategy, build branded Instagram content with Canva Magic Studio and Brand Hub, and export a campaign pack.
Learn to apply GenAI tools across software engineering teams: improve cross-functional collaboration, integrate AI into existing development workflows, and address ethical concerns of AI adoption.
Apply GenAI to project planning, execution, and monitoring and control through video demonstrations and hands-on exercises that boost productivity, cut costs, and improve team collaboration.
Learn how generative AI fits into data science work: technical workings of GenAI tools, machine learning model fundamentals, data augmentation, and ethical considerations.
Implement GenAI tools across software engineering workflows: collaborative methods for cross-functional teams, tool integration and interoperability, and ethical considerations of AI in development.
Explore how electric vehicle systems fit together, integrate software into those systems, and tackle diagnostic challenges to troubleshoot and optimize EV performance.
Tune SQL Server performance: analyze and optimize queries, evaluate indexing strategies, monitor server health, and troubleshoot common issues for faster, more reliable databases.
Set up a SQL environment in Jupyter Notebooks, write SELECT queries with WHERE filters, and version SQL projects using Git repositories, commits, branching, and GitHub.
Apply generative AI across the ADDIE stages of L&D work: experiment with tools like ChatGPT and Copilot, study case studies, and follow ethical AI practices.
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