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Course Outline
Introduction to Perplexity AI
- Overview of Perplexity AI and its features
- Setting up the environment for advanced AI applications
Understanding Advanced AI Concepts
- Deep learning and neural networks
- Natural language processing advancements
- Reinforcement learning techniques
Data Preparation and Analysis
- Techniques for cleaning and preprocessing data
- Feature selection and engineering
- Exploratory data analysis with Perplexity AI
Building and Training Models
- Creating complex models using Perplexity AI
- Training and validating models effectively
- Tuning hyperparameters for optimal performance
Applying AI to Complex Problems
- Case studies on problem-solving with Perplexity AI
- Practical applications in various industries
- Integrating AI solutions into business workflows
Advanced Research Techniques
- Leveraging Perplexity AI for research projects
- Implementing cutting-edge AI methodologies
- Evaluating and interpreting research findings
Future Trends in AI
- Exploring upcoming advancements in AI technologies
- Ethical considerations in AI development
- Preparing for the future of AI in various sectors
Summary and Next Steps
Requirements
- Strong understanding of AI and machine learning concepts
- Experience with Python programming
- Familiarity with data analysis techniques
Audience
- AI enthusiasts
- Developers looking to enhance their AI skills
14 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- 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 €4560 online delivery, based on a group of 2 delegates, €1440 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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