AI & Robotic
Showing 49–60 of 1170 results
Anthropic: Prompt Engineering for Business Professionals
Enhance your AI skills with Anthropic Claude. This course will teach you to construct effective prompts for report writing, project planning, and multi-turn conversations.
Anthropic: Prompt Engineering for Data Professionals
Prompt engineering unlocks Anthropic Claude’s potential for data analysis. This course will teach you how to create prompts to improve your data analysis productivity.
Anthropic: Prompt Engineering for Developers
This course covers the use of Claude 3 for software development. It shows how to create effective prompts for making test cases, generating sample data, debugging and pair programming.
Anthropic: Prompt Engineering for IT Administrators
Claude 3 is the latest Large Language Model from Anthropic and it can empower everyone to be more productive with the help of AI. This course will teach IT Professionals how to create prompts to help them in their day-to-day tasks.
Applied Machine Learning: Deep Learning for Industry
Explore applied machine learning techniques, focusing on deep learning applications in real-world industry scenarios.
Apply Natural Language Processing with Python
Learn Python for Natural Language Processing, the field behind chatbots, search engines, and autocorrect.
Apply prompt engineering with Azure OpenAI Service
Prompt engineering in Azure OpenAI is a technique that involves designing prompts for natural language processing models. This process improves accuracy and relevancy in responses, optimizing the performance of the model.
Applying AI to EHR Data
Explore the use of AI techniques to analyze Electronic Health Record (EHR) data for improved patient care and outcomes.
Applying Hugging Face Machine Learning Pipelines in Python
This course introduces Hugging Face models and uses them for several NLP and computer vision tasks.
Applying Neural Networks: A Guide to Pre-trained Models
Unlock the power of pre-trained models. This course will teach you how to use and fine-tune pre-trained models for a range of applications, including natural language processing and image recognition.
Architecting Production-ready ML Models Using Google Cloud ML Engine
This course covers Cloud ML Engine, a powerful service that supports distributed training and evaluation for models built in TensorFlow, Scikit-learn and XGBoost.
ARIMA Models in Python
Learn about ARIMA models in Python and become an expert in time series analysis.