- Introduction
- Automating Email Responses With NLP
- Customer Churn Prediction
- Sales Forecasting
- Predictive Maintenance Planning
- Replacing Your CDP With An LLM Model
- Knowing TheCost Of Inference For Your Model
Empower yourself with the power of AI to streamline your work and unlock hidden insights!
This hands-on course is designed for non-technical professionals who want to understand and leverage the power of Artificial Intelligence (AI) in their everyday corporate tasks. You'll learn the fundamentals of AI through engaging classification and prediction projects directly applicable to your specific job functions.
No prior coding experience required! This course will equip you with the knowledge and skills to:
Decode the jargon: Demystify AI terminology and understand how it applies to your work.
Explore the power of classification: Learn how to use AI to categorize data, automate tasks, and improve decision-making.
Master prediction techniques: Discover how to predict future outcomes, trends, and customer behavior using AI models.
Dive into real-world projects: Apply your newfound knowledge to practical projects relevant to your specific role, such as:
Marketing: Predicting customer churn, identifying potential leads, and optimizing campaign performance.
Finance: Detecting fraudulent transactions, forecasting financial trends, and optimizing risk management.
Human Resources: Improving employee hiring and retention, predicting skill gaps, and streamlining recruitment processes.
Operations: Optimizing logistics and supply chains, predicting equipment failures, and improving resource allocation.
Unlock your data's potential: Learn how to access and analyze data from your organization to feed AI models and gain valuable insights.
Build your confidence: Gain practical skills and knowledge to confidently discuss and implement AI solutions in your workplace.
By the end of this course, you'll be:
Empowered with practical AI skills: Apply your newfound knowledge to solve real-world problems in your daily work.
Confident in your understanding of AI: Communicate effectively about AI with colleagues and clients.
Prepared for the future: Stay ahead of the curve as AI continues to transform the workplace.
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From Apple employee number ~5,000 and working through college as a hardware technician, to a software developer, to a cloud architect, and now AI and ML Sherpa, I have seen it all when it comes to technology development over the past 20+ years. I simply wish to impart that advice in any way that I can.