AWS CERTIFIED AI PRACTITIONER
CERTIFICATION PAPER 2026 FULL
SOLUTION GRADED A+
● Practice Test 2. Answer: Full-Exam for AWS Certified AI Practitioner
● Practice Test 3. Answer: Full-Exam for AWS Certified AI Practitioner
● Stephane Maarek. Answer: Instructor for AWS certifications, with
2.5M+ students and 800K+ reviews
● Abhishek Singh. Answer: Co-instructor for practice exams with
Stephane Maarek
● Model Customization. Answer: Enhancing model performance by
training or fine-tuning with labeled data
● Continued Pre-training. Answer: Providing unlabeled data to pre-train
a foundation model for specific inputs
● Fine-tuning. Answer: Training a model with labeled data to improve
performance on specific tasks
, ● Retrieval Augmented Generation (RAG). Answer: Customizing
model responses with new knowledge or up-to-date information
● Zero-shot prompting. Answer: Rapidly adapting models to new tasks
with few examples
● Chain-of-thought prompting. Answer: Breaking down complex
reasoning into intermediate steps for model prompting
● Prompt Engineering. Answer: Designing prompts to enhance model
performance and generate accurate responses
● Stéphane Maarek. Answer: Passionate Cloud Computing instructor
with focus on AWS certifications
● AWS Hero. Answer: Recognition for expertise in AWS, Solutions
Architect Professional & DevOps Professional
● AWS Certified AI Practitioner. Answer: Course to prepare for AIF-
C01 exam with high-quality practice exams and detailed explanations
● Mobile-compatible. Answer: Feature allowing access to course
content on the Udemy app
CERTIFICATION PAPER 2026 FULL
SOLUTION GRADED A+
● Practice Test 2. Answer: Full-Exam for AWS Certified AI Practitioner
● Practice Test 3. Answer: Full-Exam for AWS Certified AI Practitioner
● Stephane Maarek. Answer: Instructor for AWS certifications, with
2.5M+ students and 800K+ reviews
● Abhishek Singh. Answer: Co-instructor for practice exams with
Stephane Maarek
● Model Customization. Answer: Enhancing model performance by
training or fine-tuning with labeled data
● Continued Pre-training. Answer: Providing unlabeled data to pre-train
a foundation model for specific inputs
● Fine-tuning. Answer: Training a model with labeled data to improve
performance on specific tasks
, ● Retrieval Augmented Generation (RAG). Answer: Customizing
model responses with new knowledge or up-to-date information
● Zero-shot prompting. Answer: Rapidly adapting models to new tasks
with few examples
● Chain-of-thought prompting. Answer: Breaking down complex
reasoning into intermediate steps for model prompting
● Prompt Engineering. Answer: Designing prompts to enhance model
performance and generate accurate responses
● Stéphane Maarek. Answer: Passionate Cloud Computing instructor
with focus on AWS certifications
● AWS Hero. Answer: Recognition for expertise in AWS, Solutions
Architect Professional & DevOps Professional
● AWS Certified AI Practitioner. Answer: Course to prepare for AIF-
C01 exam with high-quality practice exams and detailed explanations
● Mobile-compatible. Answer: Feature allowing access to course
content on the Udemy app
