Artificial Intelligence Courses and Certifications

Red Teaming LLM Applications

64 ratings at Coursera

Attack chatbot applications with prompt injections to uncover LLM vulnerabilities, applying manual and automated red-teaming techniques and a full red-teaming assessment.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Free Online Course

Predictive Modeling with Logistic Regression using SAS

63 ratings at Coursera

Model individual behavior with SAS PROC LOGISTIC: fit and score logistic models, recode categorical predictors, handle missing values and multicollinearity, and compare model performance.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Getting started with ImageJ

63 ratings at Coursera

Download and set up ImageJ, then use its main commands to process images and measure object number and size for scientific analysis.

• Coursera
• 1 hour 29 minutes
• Self-Paced
• Paid Course

AI Workflow: AI in Production

62 ratings at Coursera

Deploy machine learning models to production: build a Flask API in Docker, orchestrate with Kubernetes, write unit tests for logging, and monitor bias with Watson OpenScale.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Salesforce Certified AI Associate Exam Preparation

1332 ratings at Udemy

Pass your Exam in First Attempt | Learn about Salesforce AI tools like Einstein Bot, Einstein Prediction Builder & more

• Udemy
• 5 hours 23 minutes
• Self-Paced
• Paid Course

Packt

Foundations and Core Concepts of PyTorch

62 ratings at Coursera

Build neural networks from scratch and model in PyTorch: tensors, activation and loss functions, backpropagation, train-test evaluation, dataloaders, linear regression, and hyperparameter tuning.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

Oracle Career Certificate

Oracle Cloud and AI

62 ratings at Coursera

Explore Oracle Cloud Infrastructure components, security, and applications like ERP, SCM and HCM, then build AI foundations and chatbots with OCI Generative AI Agents and LLMs.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Business Implications of AI: Full course

61 ratings at Coursera

Assess AI from a corporate strategy standpoint: decide whether and how to deploy it, plan first and next steps, and anticipate competence and organizational consequences.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Facial Expression Recognition with PyTorch

61 ratings at Coursera

Train a pretrained CNN in PyTorch to classify seven facial expressions from 48x48 grayscale face images, applying image augmentation and writing train and evaluator functions.

• Coursera
• 1 hour 37 minutes
• Self-Paced
• Paid Course

Coursera

Production-Ready Multimodal ML Engineering

1 rating

Build production multimodal ML systems: design unified feature schemas, orchestrate ETL with Airflow and Great Expectations, optimize inference with TensorRT, and deploy GPU services on Kubernetes.

• Coursera
• 14 weeks, 1 hour a week
• Self-Paced
• Paid Course

Learning Deep Learning: Foundations with TensorFlow and PyTorch

1 rating

Learn how neural networks work and train them in code: perceptrons, backpropagation, multiclass classification, activation functions, regularization, and vanishing gradients using TensorFlow and PyTorch.

• Coursera
• 5 hours 15 minutes
• Self-Paced
• Paid Course

Responsible AI Practices

59 ratings at Coursera

Learn responsible AI practices: define its core dimensions, use AWS tools when selecting models and preparing data, and weigh safety against transparency and explainability.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Free Online Course

Coursera

Breast Cancer Prediction Using Machine Learning

57 ratings at Coursera

Build a logistic regression classifier with Scikit-learn in Google Colab to classify Breast Cancer Wisconsin data as malignant or benign, cleaning and preparing the data first.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Advanced AI and Machine Learning Techniques and Capstone

55 ratings at Coursera

Implement advanced ML techniques such as ensemble methods and transfer learning, design distributed scalable systems, weigh AI ethics, and build a capstone solution.

• Coursera
• 4 weeks, 8 hours a week
• Self-Paced
• Paid Course

Practical AI with Python and Reinforcement Learning

1285 ratings at Udemy

Learn how to use Reinforcement Learning techniques to create practical Artificial Intelligence programs!

• Udemy
• 1 day 2 hours 25 minutes
• Self-Paced
• Paid Course