AI+ Cloud Practitioner - an OEM Learning Journey

This AI+ Cloud Practitioner Learning and Certification is for developers and IT professionals interested in integrating Artificial Intelligence (AI) with cloud computing. As businesses use cloud technologies to improve scalability and efficiency, qualified experts who can effortlessly incorporate AI into cloud systems are in high demand. Advanced cloud infrastructure, AI model deployment, and cloud-based AI service applications are covered in this certification, preparing learners to innovate and succeed in their enterprises. This certification discusses Machine Learning (ML) and Cloud Service models from AWS, Azure, and Google Cloud, providing hands-on projects that prepare you for the dynamic IT sector.

Demo AI+ Cloud Practitioner Training

By the end of this learning, you will be able to:

• Master the fundamentals of AI and cloud computing integration, understanding how they complement each other to enhance application development.
• Develop proficiency in advanced cloud infrastructure, learning to leverage cloud platforms effectively for deploying AI models at scale.
• Gain practical insights into designing and implementing AI solutions within cloud environments, focusing on efficiency, scalability, and reliability.
• Cultivate hands-on experience through interactive projects and exercises, applying theoretical knowledge to real-world scenarios.
• Prepare for the dynamic AI+ Cloud landscape, equipping yourself with the skills needed to navigate emerging technologies and trends in the industry confidently

This learning journey includes the following (125+ hours of learning):

Track 1: Computer Science (introduction)

• Computer science is the study of computers, algorithmic processes, and computing systems, encompassing both hardware and software design, data analysis, and problem-solving. It bridges mathematical foundations with engineering to develop technologies like AI, networks, and applications. Fundamental areas include programming (Python), data structures, and algorithms.

Track 2: Cloud Computing Overview

• In this track, the focus will be on cloud computing principles, cloud business model, value proposition, case studies, and security, risk, and compliance in the cloud.

Track 3: AI+ Cloud Practitioner

• You will master AI principles, including ML techniques and Python for AI programming. Practical skills are developed through building virtual machines, integrating AI services, and developing ML models on leading cloud platforms. Additionally, in the interactive capstone project, you'll create and implement cloud-based AI solutions.

 This learning path includes an Online Proctored Exam with one free retake for the AI+ Cloud Practitioner course (track 3). Upon completion and passing, you will receive an AI+ Cloud Practitioner™ certification, showcasing your proficiency in AI.