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Generative AI in Practice


Generative AI in Practice

Learn to interact with GenAI tools to create, automate, and be more productive. Master prompt writing and how to use AI to organize and analyze data so you make smarter decisions.

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What you'll learn

Automating tasks
Learn to automate tasks and processes to boost your productivity and make time for creativity
Prompt engineering techniques
Master the art of writing better prompts to get the exact results you want out of Gen AI tools
Generating images
Create high-quality images in an instant from just a text prompt using AI models like DALL-E and Midjourney
Summarizing texts
Get tips on generating texts for all kinds of purposes, including summaries of meeting notes, datasets, and large documentation
Smart segmentation & targeting
Use AI-powered smart segmentation for tailored marketing and audience targeting, to run stronger, more relevant campaigns
AI for data analytics
Understand how to apply GenAI and predictive analytics to data science to spot insights, predict trends, and make stronger decisions
What’s coming next
Anticipate the next advances in GenAI to adopt upcoming AI tools even faster
What will you use AI for?
Click to learn more about how to leverage generative AI for specific skillsets.
Tap to learn more about how to leverage generative AI for specific skillsets.
Generative AI can automate marketing tasks, create multiple versions of personalized ad copy and images for campaigns, suggest optimizations for better performance, and even analyze data to predict market trends and consumer behavior, giving marketing professionals more time for other priorities.
Whether you’re interested in how to use AI for graphic design, interior design, UX/UI, fashion design, or even to design a logo, generative AI can help by enabling rapid prototyping, creating multiple versions to choose from, automating asset creation and filling detail, freeing designers to innovate and refine precise final experiences.
Generative AI can help analyze and categorize large datasets such as spreadsheets or text data. AI can identify correlations, patterns, segments, and behaviors, and forecast future events through predictive analytics. It can also help data analysts to write code to automate processes, and to visualize data for data storytelling.
Generative AI can assist product managers in interpreting market analytics, analyzing user feedback and competitor content, generating ideas for new products, prioritizing feature sets, providing A/B testing insights, and managing product lifecycles with data-driven roadmaps for market-fit optimization.
GenAI can automate lead generation, personalize pitches, and predict customer needs, giving sales professionals more time to build relationships and close deals based on data-backed strategies.
AI chatbots can provide instant, automatic, and accurate responses to common customer questions 24/7, even outside working hours. Generative AI can also improve the quality and productivity of customer support by analyzing queries and personalizing interactions to improve customer satisfaction, loyalty, and overall service levels.
Using AI, finance and accounting teams can significantly boost profitability and save hours per month (which can then be devoted to strategy) by automating routine transactions, tasks, and fraud detection; forecasting financial trends, and providing actionable insights for smarter budgeting and investment decisions.
Generative AI empowers copywriters by helping to brainstorm and generate ideas for creative content. AI can also be instrumental in helping to optimize copy for SEO or ASO requirements, testing different copy variations, and even providing analytics to further refine messaging for maximum engagement or conversion.
Generative AI and GPT tools can accelerate research activities by sifting through vast datasets, identifying emerging trends, summarizing findings, and employing machine learning to predict and validate future directions and outcomes, giving researchers more time for groundbreaking discoveries.
Generative AI can greatly speed up HR processes and facilitate talent acquisition by writing job descriptions, automating candidate screening, generating qualified questions for interviews and intake calls, summarizing notes, and analyzing employee engagement and other workforce data to help retain top talent.