GenAI for Lead Scoring and Identification

In this course, "GenAI for Lead Scoring and Identification," you’ll discover how to streamline lead evaluation processes using advanced AI technologies. Through hands-on projects, you’ll learn to build custom AI solutions with platforms like OpenAI GPT and Google Gemini to automate lead scoring, segmentation, and identification. By mastering prompt engineering and applying best practices, you’ll enhance the accuracy and efficiency of lead management, driving smarter decision-making and improved sales conversions. Designed for marketing and sales professionals at the beginner level, this course is tailored to those who want to streamline their lead evaluation workflows and adopt AI-powered solutions in their organizations. Whether you're a Marketing Manager, Sales Representative, or Business Development Specialist, this course equips you with practical knowledge and tools to prioritize high-value leads effectively, saving time and resources. The course requires participants to have basic computer proficiency, including working knowledge of tools like MS Office, Google Drive, Google Sheets, Email, and ChatGPT. No prior experience with AI tools or programming is necessary, making this course accessible to all who want to explore AI in lead evaluation. Learners will be empowered to implement AI-driven solutions in their lead evaluation processes. They will be able to automate and enhance lead scoring and segmentation tasks using Generative AI, ensuring increased accuracy and efficiency. Participants will master prompt engineering, develop custom AI tools using OpenAI GPT and Google Gemini, and integrate best practices and ethical considerations into their workflows, positioning themselves as forward-thinking professionals in their fields

• Apply best practices and ethical considerations in AI solutions and automations
• Build AI-powered tools for scoring, segmentation, and identification of leads
• Apply prompt engineering techniques to communicate effectively with AI models during lead evaluation
• Use GenAI and large language models to automate lead evaluation tasks

• Basic computer and internet skills
• Ability to read course instructions in English and complete short practice activities