Available Exams | Dell Learning

Exam Number: D-GAI-F-01

Available Languages: English, French

Certification Overview

Successful completion of this Achievement Assessment validates your knowledge and understanding of concepts of artificial intelligence, machine learning, and deep learning, as well as the scope and need of AI in business today. Questions will gauge your understanding of the impact of AI in enabling human progress and transforming business.

Target Audience

Associate Sales Engineers; Cloud Architects; Cloud Consultants; Cloud Product Leads/Managers; Pre-Sales Engineers; Pre-Sales Solution Architects; Product Specialists; Solution Architects; Systems Engineers; Technical Consultants; Technical Pre-Sales Representatives; Technical Sales Representatives

Your Journey Begins Here!

Step 1 – Topics: Identify training plan and review course topics

Step 2 – Training: Complete any recommended Training

Step 3 – Exam Preparation: Study training materials and complete practice exams

Step 4 – Exam Voucher: Request digital exam vouchers

Step 5 – Schedule: Schedule exam using exam voucher code

Step 6 – Recognition: Recognize accomplishments with your Digital Badge

Practice First, Certify Next

Practice tests are unproctored web based exams. Practice tests are not available for Achievements.

Ready to Certify? Plan Your Exam Experience

Achievement exams are web based. Skills certification Exams are proctored exams administered though Pearson Vue testing centers and OnVUE.

Exam Topics

The table below lists the topics that are included in this exam, and the approximate percentage of the exam devoted to each topic.

Category	Topics	Coverage
Exam Topics	The impact and scope of artificial intelligence Concepts of artificial intelligence and machine learning Challenges and the application of artificial intelligence Concepts of machine learning, deep learning, and neural network Concepts of large language models (LLMs) and the role they play in generative AI. Concepts of building AI ecosystem. How AI is implemented in a business model and the impact of AI in business. Ethics in AI; various ethical issues principles, different types of biases and their impacts and what culture should be developed to reduce bias and increase the trust of humans over machines	100%

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