CAIE™

My Account

Categories AI Engineering, University

Take Assessment

$675.00

Intermediate

CAIE™ – Certified Artificial Intelligence Engineer

120h

175 Days.

Training 5 or more people?

Certified Artificial Intelligence Engineer.

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.

Course Curriculum

Artificial Intelligence
Big Data and AI Artificial Intelligence on the Cloud AI in Banking ChatbotsGraph and Graph Databases Exploring Feature Selection White Box XAI for AI Bias and Ethics

Essential Machine Learning
Machine Learning and Python Unsupervised Learning: Detecting Patterns Visualizing Data for Machine Learning Supervised Learning: Classification and Regression Dimensionality Reduction

Deep Learning
TensorFlow and its Functionalities TensorFlow for Mobile and IoT Deep Learning with KERAS Confusion Matrix Deep Learning with TensorFlow on the Cloud Life Cycle of Model Creation Activation Functions Underfitting and Overfitting

Deep Reinforcement Learning
Deep Q Network (DQN) Actor-Critic and Policy Gradient Deep Q-Learning Method Learning DDPG, TD3, and SAC

Natural Language Processing (NLP)
Natural Language Processing using Python Word Embeddings and Text Distance Metrics Text Data Analysis Transform Text File into Data Structures MetricsDocument, Sentence, and Character-Level Embeddings

Computer Vision and GANs
Computer Vision, Raspberry Pi Traffic Signals Object Detection Using OpenCV Realtime Face, Age and Gender Detection Multiclassifier to Recognize Face detection and recognition Image, Age and Gender Detection GANs: Applications, Architecture, Variants and Advantages

Reinforcement Learning
Reinforcement Learning Monte Carlo (MC) Methods Multi-Armed Bandit(MAB) Problem Bellman Equation and Dynamic Programming Temporal Difference Learning

Get The Ultra-latest career starter skills in AI Engineering.
Understand key concepts, definitions, and the role of AI/ML in modern systems.
Understand the ML's lifecycle and workflow from data collection to model deployment.
Develop proficiency using Python in AI.
Perform data preparation, feature engineering, and exploratory analysis to support AI models.

Job Roles & Industry Outlook

AI / ML Engineer

Build, train, and deploy machine-learning and deep-learning models — from data ingestion and preprocessing to model training, evaluation, and deployment into production systems.

Machine Learning Developer

Design and develop ML-based solutions (regression, classification, recommendations, predictions) using learned ML algorithms, build pipelines, and integrate models in software applications or services.

Computer Vision Engineer

Develop image/video-based AI solutions using deep-learning and neural network techniques (e.g. classification, object detection, image recognition), leveraging CAIE training in computer vision & CNNs.

Natural Language Processing (NLP) Engineer

Work on text- and language-based AI: build NLP pipelines, text classifiers or analyzers, chatbots, or language-based ML solutions, drawing on CAIE’s coverage of NLP fundamentals.

AI Solutions Developer (Cloud / MLOps-ready)

Build and deploy AI/ML applications in cloud or enterprise environments — manage ML pipelines, data workflows, model deployment, and maintenance. CAIE covers cloud-AI, architecture, and ML pipelines.

Junior Data Scientist / AI Data Specialist

Use data science and ML skills to analyze datasets, build predictive models, extract insights — bridging data analytics and AI model development.

Robotics & AI Systems Engineer (Entry-Level)

Combine robotics basics and AI training to build or contribute to robotics projects, AI-driven automation, or IoT/embedded-AI systems (as CAIE includes robotics + AI fundamentals).

AI Product Developer / Prototype Engineer

Work on AI-enabled products — develop prototypes or proof-of-concepts integrating AI/ML, vision or language modules — turning AI research into working applications.

AI-Ready Software Engineer

For software engineers wanting to add AI/ML skills: use CAIE to expand from traditional software dev into AI-powered software development — building smarter, data-driven features.

Entry-Level AI Consultant (Technical Implementation Focus)

Provide support on AI/ML implementation projects — as part of a larger team or consultancy — supplying technical AI competence for model building, data processing, and deployment.

Exam Information

Duration (minutes)

100

Passing Percentage

70% (42/60)

Exam Scheduling

After successfully registering for the certification program, log in to 'myControlPanel' and click 'Exam Details' under the 'My Programs' tab. Once the certification fee is paid, you can schedule your exam by selecting an available date and time. By default, exam slots open after 25 days, and you will have up to 175 days to prepare for and take the USAII® certification exam.

Exam Re-scheduling

You may change your exam appointment up to three working days before the scheduled exam date. Log in to 'myControlPanel' and click 'Exam Details' to view your current schedule. Select Reschedule Your Exam to update your exam appointment. If you need additional time due to professional commitments, please contact us at [email/contact details] exam@usaii.org.

Examination re-take

If you cancel, fail, or do not appear for the exam, a nominal re-examination fee of USD 149 will apply. The Reappear button will automatically be enabled in the 'myControlPanel' dashboard once the results are published. After paying the re-examination fee, you will receive an additional 50 days to schedule your exam. This is not a one-time fee; candidates must pay the fee each time they reappear for the same exam. CAITL™ candidates may reappear an unlimited number of times without an exam fee. However, candidates who are marked as No-Show must pay a nominal fee of USD 149 to reappear.

Exam Blueprint:

Exploring AI and ML Essentials 12%

Engineering the Future: From Debugging to Robotics 15%

Deep Learning Concepts: Advanced 17%

Natural Language Processing Demystified 13%

Theories of Computer Vision and GANs 15%

Generative AI and LLMs: Theory and Training 7%

Advanced LLMs: Techniques, Applications, and Frameworks 8%

Mastering Retrieval-Augmented Generation 7%

Navigating ML: Architectures, Tools, and Platforms 6%

Explore our Schedules

No data was found

Certificate of Completion

CAIE™ – Certified Artificial Intelligence Engineer

$675.00

Intermediate

CAIE™ – Certified Artificial Intelligence Engineer

120h

175 Days.

Training 5 or more people?

CAIE™

Certified Artificial Intelligence Engineer.

Course Curriculum

Artificial Intelligence Big Data and AI Artificial Intelligence on the Cloud AI in Banking ChatbotsGraph and Graph Databases Exploring Feature Selection White Box XAI for AI Bias and Ethics

Essential Machine Learning Machine Learning and Python Unsupervised Learning: Detecting Patterns Visualizing Data for Machine Learning Supervised Learning: Classification and Regression Dimensionality Reduction

Deep Learning TensorFlow and its Functionalities TensorFlow for Mobile and IoT Deep Learning with KERAS Confusion Matrix Deep Learning with TensorFlow on the Cloud Life Cycle of Model Creation Activation Functions Underfitting and Overfitting

Deep Reinforcement Learning Deep Q Network (DQN) Actor-Critic and Policy Gradient Deep Q-Learning Method Learning DDPG, TD3, and SAC

Natural Language Processing (NLP) Natural Language Processing using Python Word Embeddings and Text Distance Metrics Text Data Analysis Transform Text File into Data Structures MetricsDocument, Sentence, and Character-Level Embeddings

Computer Vision and GANs Computer Vision, Raspberry Pi Traffic Signals Object Detection Using OpenCV Realtime Face, Age and Gender Detection Multiclassifier to Recognize Face detection and recognition Image, Age and Gender Detection GANs: Applications, Architecture, Variants and Advantages

Reinforcement Learning Reinforcement Learning Monte Carlo (MC) Methods Multi-Armed Bandit(MAB) Problem Bellman Equation and Dynamic Programming Temporal Difference Learning

Learning Objectives

Resource Center

Target Audience

Job Roles & Industry Outlook

Exam Information

Exam Blueprint:

Explore our Schedules

Certificate of Completion

CAIE™ – Certified Artificial Intelligence Engineer

Learners Also Enrolled For

What you'll learn

What you'll learn

What you'll learn

What you'll learn

What you'll learn

What you'll learn

What you'll learn

What you'll learn

What you'll learn

What you'll learn

Quick Links

Policies

Login

Artificial Intelligence
Big Data and AI Artificial Intelligence on the Cloud AI in Banking ChatbotsGraph and Graph Databases Exploring Feature Selection White Box XAI for AI Bias and Ethics

Essential Machine Learning
Machine Learning and Python Unsupervised Learning: Detecting Patterns Visualizing Data for Machine Learning Supervised Learning: Classification and Regression Dimensionality Reduction

Deep Learning
TensorFlow and its Functionalities TensorFlow for Mobile and IoT Deep Learning with KERAS Confusion Matrix Deep Learning with TensorFlow on the Cloud Life Cycle of Model Creation Activation Functions Underfitting and Overfitting

Deep Reinforcement Learning
Deep Q Network (DQN) Actor-Critic and Policy Gradient Deep Q-Learning Method Learning DDPG, TD3, and SAC

Natural Language Processing (NLP)
Natural Language Processing using Python Word Embeddings and Text Distance Metrics Text Data Analysis Transform Text File into Data Structures MetricsDocument, Sentence, and Character-Level Embeddings

Computer Vision and GANs
Computer Vision, Raspberry Pi Traffic Signals Object Detection Using OpenCV Realtime Face, Age and Gender Detection Multiclassifier to Recognize Face detection and recognition Image, Age and Gender Detection GANs: Applications, Architecture, Variants and Advantages

Reinforcement Learning
Reinforcement Learning Monte Carlo (MC) Methods Multi-Armed Bandit(MAB) Problem Bellman Equation and Dynamic Programming Temporal Difference Learning