Written By Jennifer Inglis
Edited By Jess Feldman
Course Report strives to create the most trust-worthy content about coding bootcamps. Read more about Course Report’s Editorial Policy and How We Make Money.
Course Report strives to create the most trust-worthy content about coding bootcamps. Read more about Course Report’s Editorial Policy and How We Make Money.
There’s no doubt that generative AI is changing the way companies do business, from content creation and product design to research and customer service chatbots and virtual assistants. With this increased use comes an ever-growing demand for tech professionals who can design, implement, and maintain this new technology, but also understand the ethical applications of AI. Whether you’re a data scientist or software engineer, or simply want to level-up your machine learning engineers and AI skills, earning a generative AI certification might be the right move. From AWS to NVIDIA certifications, we’re shining a spotlight on five of the most in-demand generative AI certifications employers are looking to hire for.
Generative artificial intelligence (AI) is a subfield of AI that uses machine learning models to produce original content – like text, video, images, or music – based on user input. Unlike traditional AI, which analyzes data and performs tasks using predefined rules, generative AI creates entirely new outputs based on the patterns it identifies in training data.
In general, there are three types of generative AI:
🧠 Note: Generative AI models still have limitations, including bias in training data, lack of subject depth, or hallucinated outputs.
Getting your generative AI certifications not only provides you with current skills, but also helps you move your career forward and positions you as an expert in your field. As Varun, a Flatiron School graduate and a Senior AI Engineer, advises, “This field is moving fast… you need to show that you know enough to be dangerous in whatever task the company is trying to build a solution for.”
Other benefits of getting a generative AI certification include:
More job opportunities across industries using AI.
Higher salary potential due to in-demand, specialized skills.
Expanded professional network through certification communities.
Clear skill validation for roles in data science, ML, and engineering.
Increased productivity through effective AI tool use.
Career resilience in a rapidly evolving tech landscape.
For those already working in tech, a short course focused on generative AI may be your best route. We recommend these gen AI courses:
For those who are new to tech and/or looking to make a career change into AI, consider a bootcamp that includes AI or machine learning:
Best For | Those who are familiar with, but do not necessarily build, solutions using AI/ML technologies on AWS, such as IT support, business analysts, marketing professionals, product or project managers, IT management, or sales professionals. |
Exam Topics Covered |
This 65-question exam covers the breadth of AI frameworks, concepts, and associated AWS technologies, with an emphasis on generative AI. |
Cost |
$100 |
Difficulty |
Foundational |
Exam Duration | 90 minutes |
Prerequisites | None, but a basic understanding of AWS services and AI/ML concepts is helpful. |
Best For | This certification is for AI researchers and developers, policy makers, business professionals, educators, investors and venture capitalists, non-profit organizations, and tech enthusiasts or hobbyists. |
Exam Topics Covered |
The GSDC Generative AI Foundation Certification exam covers foundational AI concepts, practical applications, and how business can utilize generative AI. |
Cost |
$100-$200 |
Difficulty |
Moderate |
Exam Duration | 90 minutes |
Prerequisites | None, but a general knowledge of AI is helpful |
Best For | Professionals in AI and machine learning who want to validate their skills in generative AI and large language models (LLMs). This can include, but isn’t limited to, data scientists, AI strategists, cloud solution architects, deep learning performance engineers, and machine learning engineers. |
Exam Topics Covered |
The NVIDIA Generative AI LLMs Certification exam covers the foundations of developing, implementing, and maintaining AI-driven applications using generative AI and large language models (LLMs) with NVIDIA solutions. This includes the fundamentals of machine learning and neural networks, data analysis and visualization, software development, and LLM integration and deployment. |
Cost |
$125 |
Difficulty |
Moderate to challenging |
Exam Duration | 60 minutes |
Prerequisites | Basic understanding of gen AI and LLMs |
Best For | Tech professionals who want to establish themselves as experts in generative AI |
Exam Topics Covered |
The CGAI exam is a 50-question, multiple choice exam covers foundational neural network architectures and machine learning techniques including supervised, unsupervised, semi-supervised, and reinforcement learning. It also touches on optimizing neural network performance, as well as forecasting, sentiment analysis, and content generation. |
Cost |
$490 |
Difficulty |
Challenging |
Exam Duration | 60 minutes |
Prerequisites | None |
Best For | AI professionals, software developers, data scientists, academics, entrepreneurs, creative professionals, business leaders, AI enthusiasts, career changers, and anyone interested in gaining expertise in generative artificial intelligence. |
Exam Topics Covered |
The exam covers comprehensive understanding of generative models, neural networks, and advanced machine learning techniques. |
Cost |
$249 |
Difficulty |
Challenging |
Exam Duration | Unclear, but the prep course takes 7 hours |
Prerequisites | Must complete the Certified Generative AI Expert course prior to exam. |
Recommended Course |
Generative AI is reshaping tech – and with the right certification, you can position yourself at the forefront of this revolution. Choose the certification that aligns with your goals and current experience level, and make your resume stand out in the age of AI.
Jennifer Inglis, Guest Editor
Jennifer Inglis is a freelance writer, editor, and content creator with extensive professional expertise in advertising, media analysis, teaching, writing, and literature. Prior to becoming a writer, Jennifer was a Media Analyst for ten years and then earned her master's degree in Teaching, instructing middle-school students in college/career readiness, writing, and public speaking..
Jess Feldman, Content Manager at Course Report
Jess Feldman is an accomplished writer and the Content Manager at Course Report, the leading platform for career changers who are exploring coding bootcamps. With a background in writing, teaching, and social media management, Jess plays a pivotal role in helping Course Report readers make informed decisions about their educational journey.
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