IBM AI Engineering Professional Certificate
The IBM AI Engineering Professional Certificate is a structured program …
What you'll learn
Upon completing the IBM AI Engineering Professional Certificate, participants will be able to:
Apply core machine learning algorithms to real-world data using Python.
Design, build, and deploy deep learning models with Keras, PyTorch, and TensorFlow.
Utilize computer vision techniques for image analysis and processing.
Successfully execute a capstone project that demonstrates their comprehensive AI skills.
Build a portfolio of AI projects that validate their readiness for roles in AI engineering.
AWS Certified AI Practitioner
The AWS Certified AI Practitioner course is tailored for individuals …
What you'll learn
Upon completion of the course, students will be able to:
Confidently design and implement AI solutions using AWS services.
Leverage AWS tools to build, deploy, and maintain machine learning models in production.
Navigate the AWS Certified AI Practitioner exam with a clear understanding of its structure and requirements.
Apply best practices for security, performance, and scalability in AI applications on AWS.
Microsoft Certified: Azure AI Engineer Associate
Course Overview The Microsoft Certified: Azure AI Engineer Associate course …
What you'll learn
Upon completion of the course, students will be able to:
Confidently design and implement AI solutions that align with business needs.
Leverage Azure AI services to integrate advanced machine learning models into production environments.
Prepare for and pass the AI-102 exam, earning the Microsoft Certified: Azure AI Engineer Associate credential.
Apply best practices in security, compliance, and maintenance of AI solutions.
