Course Outline
Introduction to AI/ML in Workflow Automation
- Overview of AI-driven automation
- Understanding AI/ML models for workflows
- Introduction to Make’s API and automation capabilities
Connecting AI/ML APIs to Make
- Using AI/ML services (OpenAI, Google Cloud AI, Hugging Face)
- Making API calls to AI models for automation
- Handling API authentication and security
Sentiment Analysis and Text Processing
- Extracting insights from customer feedback
- Using NLP models for text classification
- Automating response generation based on sentiment
Predictive Modeling and Decision Automation
- Using ML models for predictive analytics
- Automating decision-making based on AI predictions
- Integrating forecasting models into workflows
Automating Image and Video Processing
- Using AI for image recognition and classification
- Applying object detection in automation
- Automating content moderation and tagging
Optimizing AI-Driven Automation Workflows
- Handling errors and improving reliability
- Scaling AI integrations in Make
- Monitoring and maintaining AI-driven workflows
Testing and Debugging AI Integrations
- Using Postman for API testing
- Debugging AI/ML model responses
- Ensuring accuracy and consistency in automation
Summary and Next Steps
- Key takeaways from the course
- Resources for further learning
- Q&A and closing remarks
Requirements
- Experience using Make for workflow automation
- Understanding of APIs and webhooks
- Basic knowledge of AI/ML concepts and models
Audience
- AI/ML engineers
- Data scientists
- Tech innovators
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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Testimonials (1)
There were many practical exercises supervised and assisted by the trainer