Instructors
Madecraft and Jim Sterne 2 instructors
Course details
- 1h 21m
- General
- Released: 11/17/2020
Artificial intelligence (AI) is changing the way that marketers are interacting with their customers. But how can you as a marketer take advantage of this technology without being a multibillion-dollar company? In this action-packed course from instructor Jim Sterne, learn how AI is reshaping marketing and how you can take advantage of new and innovative tools. Discover how AI works and how it can be used. Learn how AI different from machine learning and where machine learning can help. Plus, get onboarding tips for using technologies in AI, and learn how you can use these machines to the best of their ability.
This course is part of a Professional Certificate from Microsoft.
This course was created by Madecraft. We are pleased to host this training in our library.
Learning objectives
- Define the difference between general artificial intelligence and functional artificial intelligence and illustrate how each impacts modern marketing practices.
- Identify and describe the principal areas where AI and machine learning can enhance marketing strategies, including predictive analytics, customer segmentation, and content personalization.
- Evaluate different AI-powered marketing technologies (e.g., machine learning models, natural language processing tools, and predictive analytics software) to determine the most effective tools for specific marketing objectives.
- Develop strategies to integrate AI tools into existing marketing workflows, ensuring that these integrations enhance efficiency and outcomes without displacing valuable human insights and creativity.
- Apply ethical considerations and responsible AI usage principles in marketing campaigns to avoid potential biases and ensure consumer privacy is protected.
- Create a plan to continuously monitor, assess, and optimize AI-driven marketing initiatives based on data-driven insights and performance metrics.
- Predict future trends in AI marketing and prepare for emerging technologies by fostering a culture of innovation and continuous learning within the marketing team.
- Solve practical marketing problems using supervised, unsupervised, and reinforcement learning, applying the appropriate type of machine learning to the specific challenge at hand.
- Use natural language processing to improve customer interaction channels, such as chatbots and customer service portals, making them more responsive and personalized.
- Organize a team for an AI marketing project, defining clear roles, responsibilities, and processes to ensure effective collaboration between marketers, data scientists, and technology specialists.
Skills covered
Student Ratings & Reviews
