Certified Artificial Intelligence Engineer (CAIE™)/artificial-intelligence-certifications/certified-artificial-intelligence-engineer


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Program Duration
4-25 Weeks
Program Duration
Hours of Learning
8-10 Hours per Week
Hours of Learning
Program Format
Program Format
Payment Options
Payment Options

Earn the most distinguished career-starter certification in Artificial Intelligence Engineering. The program is very precisely designed for the professionals who want to distinguish themselves as Artificial Intelligence Engineers in the job market and enhance their AI skills and efficiency on any AI-based projects across the globe.

Build a robust AI Career with CAIE™

Becoming a Certified Artificial Intelligence Engineer (CAIE™) by the United States Artificial Intelligence Institute (USAII®) is the key to a gratifying career in the Artificial Intelligence sphere. Getting CAIE™ as an AI engineer will undoubtedly uplift your career.

An AI engineer is one who trains machines to learn from experience. She programs computer systems to recognize fingerprints and sounds, solve problems, and interpret information in relevant ways. CAIE™ provides you with professional knowledge and practical skills to understand Artificial Intelligence and Machine Learning to effectively contribute to your organization through many AI and ML approaches and workflows. The Certified Artificial Intelligence Engineer (CAIE™) by the United States Artificial Intelligence Institute (USAII®) is one of the most incredible certification programs for undergraduates, graduates, and diploma students worldwide preparing for AI & ML careers. Through our Certified Artificial Intelligence Engineer (CAIE™) certification, you will be able to prove your expertise, aptitude, and talent in the emerging AI & ML field.

Program Design

The Certified Artificial Intelligence Engineer (CAIE™) program is designed according to the AI job market and keeping the right AI skills in mind to sustain your career growth. According to USAII’s research and development team, the AI job market is growing at 16 percent globally, and considering the fact where COVID-19 has its impact, the organizations are pacing up their investments in AI technology, hence creating further positive ripples in the AI job market.

The CAIE™ program curriculum is engineered by the most brilliant minds in the world – top 15 SMEs and industry experts in the Artificial Intelligence domain have vetted and verified it, thus helping a certified professional to run machine learning tests, train the systems, selecting suitable datasets using various techniques, transform multiple data science prototypes, and more. The program expects you to learn AI on Cloud, Python, machine learning pipelines, machine learning algorithms, deep learning foundations, Tensorflow, NLP fundamentals, and more.

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Program Design

Program Fee: US $691 (*All Inclusive)

*CAIE™ covers all the latest topics through Study books, eLearning materials with workshops, and hands-on videos with Practice Code under the self-paced training module. Just 8-10 hours/week is all that’s required to excel.

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Get your latest self-study kit worth up to US $625 FREE that includes

  • Personalized Study-Book Personalized Study-Books
  • Real-world workshop based eLearning Real-world workshop based eLearning
  • self-paced videos HD quality self-paced videos, vetted by the world’s best SMEs
  • Practice Code State-of-the-art lab-based eLearning with Practice Code
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Program Eligibility

The Certified Artificial Intelligence Engineer (CAIE™) program has certain eligibility criteria for accepting applications from interested candidates. If you are an undergraduate/graduate student, a recent professional with 0 – 2 years of work experience, and if you have a passion for grabbing and enhancing your technical skills with cutting-edge practices in Artificial Intelligence, Machine Learning, Deep Learning, and more – you can apply for the program. The program has two paths to apply.


Required Minimum Mandatory Qualification

Must have an Associate Degree or Diploma or equivalent in any academic discipline, preferably STEM, and willing to learn Artificial Intelligence, Machine Learning, and more.

Required Work Experience

At least two years of experience in any programming language; however, proficiency in using Python/R/JAVA is desirable.


Required Minimum Mandatory Qualification

Either completed or pursuing Bachelor’s Degree or equivalent in any academic discipline, preferably with STEM, and willing to learn Artificial Intelligence, Machine Learning and more.

Required Work Experience

Work experience is not required; however, basic proficiency in any programming language like Python/R/JAVA  is desirable.

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Program Curriculum

According to the latest studies done by USAII®, Artificial Intelligence’s demand is increasing at a rapid pace with new roles such as AI/ML developer, AI/ML engineer, AI/ML architect, AI/ML consultant, AI/ML scientist, and more. Therefore, at USAII®, we analyzed the trends and concluded that candidates with the right knowledge and skills could choose to take on any demanding role, such as an AI Engineer, AI Developer and more. The program curriculum below is meticulously planned and designed to counter any demands of an emerging AI Engineer/Developer.

  • Artificial Intelligence 12%
    • Big Data and AI
    • Artificial Intelligence on the Cloud
    • AI in Banking
    • Exploring Feature Selection
    • ChatbotsGraph and Graph Databases
    • White Box XAI for AI Bias and Ethics
  • Essential Machine Learning 13%
    • Machine Learning and Python
    • Supervised Learning: Classification and Regression
    • Unsupervised Learning: Detecting Patterns
    • Dimensionality Reduction
    • Visualizing Data for Machine Learning
  • Deep Learning 17%
    • TensorFlow and its Functionalities
    • Deep Learning with TensorFlow on the Cloud
    • TensorFlow for Mobile and IoT
    • Life Cycle of Model Creation
    • Deep Learning with KERAS
    • Activation Functions
    • Confusion Matrix
    • Underfitting and Overfitting
  • Deep Reinforcement Learning 8%
    • Deep Q Network (DQN)
    • Deep Q-Learning
    • Actor-Critic and Policy Gradient
    • Method Learning DDPG, TD3, and SAC
  • Computer Vision and GANs 20%
    • Computer Vision, Raspberry Pi
    • Multiclassifier to Recognize
    • Traffic Signals
    • GANs: Applications, Architecture, Variants and Advantages
    • Object Detection Using OpenCV
    • Face detection and recognition
    • Realtime Face, Age and Gender Detection
    • Image, Age and Gender Detection
  • Natural Language Processing (NLP) 15%
    • Natural Language Processing using Python
    • Transform Text File into Data Structures
    • Word Embeddings and Text Distance
    • MetricsDocument, Sentence, and Character-Level Embeddings
    • Text Data Analysis
  • Reinforcement Learning (RL) 15%
    • Reinforcement Learning
    • Bellman Equation and Dynamic Programming
    • Monte Carlo (MC) Methods
    • Temporal Difference Learning
    • Multi-Armed Bandit(MAB) Problem
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Resource Center

To become a Certified Artificial Intelligence Engineer (CAIE™), you must prepare thoroughly for the rigorous skill assessment at the end of this self-paced program. To help you with your preparation, USAII® will provide you with the meticulously developed 'resource center’ which is vetted and verified by the world-renowned 'USAII® Artificial Intelligence Advisory Board (AIAB)' that comprises of the best subject matter experts and influencers of AI, ML, and Data Science like CTOs, CIOs, Head of Technology, Delivery Directors, AI, ML and Robotics Influencers, Data Scientists, Technology Leaders, and many from fortune 500 companies. . However, the program is designed as such that you require only 8-10 hours per week to grab the essential knowledge and get certified. We update our curriculum at regular intervals to stay relevant and reflect the trend of AI, ML, and related technologies.


The resource center includes USAII® Study-Book 1, Study-Book 2, and Study-Book 3 – all these e-books cover advanced Artificial Intelligence, Machine Learning, and relevant topics like Deep Learning, Reinforcement Learning, Python, and more specially designed for the CAIE candidates.

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You'll get to view and learn from the world-class e-learning program for CAIE certification, which includes a relevant collection of self-paced videos that will help you know the latest technological advances in Artificial Intelligence/Machine Learning and how to build your advanced knowledge of it. The CAIE™ e-learning program also includes the Practice Codes to help you put your learning into practice and prepare you for the real challenges at a very early stage of your career.

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