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About the Course
The AWS Certified AI Practitioner (AIF-C01) training program is a foundational-level course designed to help learners understand core Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) concepts with a focus on AWS services and real-world business applications.
This course prepares participants to confidently identify AI use cases, understand foundation models, apply prompt engineering techniques, and work with AWS AI services such as Amazon Bedrock and Amazon SageMaker.
Aligned with the official AWS exam guide, this program emphasizes business-focused AI understanding rather than coding or model development.
Who Should Attend
Course Modules (Aligned to AIF-C01 Exam Domains)
Module 1: Fundamentals of AI and Machine Learning (20%)
Topics:
• What is AI, ML, Deep Learning
• Types of AI (Narrow vs General)
• Supervised, Unsupervised, Reinforcement Learning
• AI Terminologies (model, training, inference, bias, fairness)
• Data types (structured vs unstructured)
• Real-world AI use cases
Lab:
• Exploring AWS AI services overview
• Demo: AI use case mapping
Module 2: Fundamentals of Generative AI (24%)
Topics:
• What is Generative AI
• Tokens, embeddings, vectors
• Large Language Models (LLMs)
• Multimodal AI
• GenAI use cases (chatbots, content generation, code generation)
• Advantages & limitations (hallucinations, bias)
Lab:
• Intro to Amazon Bedrock
• GenAI demo (text/image generation)
Module 3: Applications of Foundation Models (28%)
Topics:
• What are Foundation Models (FMs)
• Prompt Engineering:
o Zero-shot, Few-shot
o Chain-of-thought prompting
• RAG (Retrieval Augmented Generation)
• Fine-tuning vs Prompting
• Model evaluation metrics (BLEU, ROUGE, etc.)
• Agents and AI workflows
Lab:
• Prompt engineering hands-on
• Build simple GenAI workflow
Module 4: Responsible AI (14%)
Topics:
• Bias, fairness, inclusivity
• AI risks (hallucination, misuse)
• Transparency & explainability
• Ethical AI design
• AWS Guardrails
Lab:
• Bias detection demo
• Responsible AI case study
Module 5: Security, Compliance & Governance (14%)
Topics:
• AWS Shared Responsibility Model
• IAM for AI systems
• Data privacy & encryption
• Governance frameworks
• Compliance (data handling, regulations)
Lab:
• IAM policy demo
• Secure AI workflow design
Key AWS Services Covered
• Amazon Bedrock
• Amazon SageMaker
• Amazon Comprehend
• Amazon Rekognition
• Amazon Lex
• Amazon Polly
• Amazon Transcribe
• Amazon Translate
• AWS IAM
• Amazon S3
Certification Exam Details
• Exam Code: AIF-C01
• Questions: ~65 (50 scored + 15 unscored)
• Duration: ~90 minutes
• Format: MCQ, Multiple Response, Matching, Ordering
• Passing Score: 700 / 1000
• Level: Foundational
Course Objectives
By the end of this course, participants will be able to:
• Understand core AI, ML, and GenAI concepts
• Identify real-world AI business use cases
• Understand foundation models and prompt engineering
• Work with AWS AI/ML services (Bedrock, SageMaker, etc.)
• Evaluate AI model performance and business impact
• Apply Responsible AI principles
• Understand AI security, compliance, and governance
Course Duration
• Total Duration: 24 Hours
• Delivery Mode: Instructor-led (Online / Classroom / Hybrid)
• Lab Access: AWS Hands-on Labs (Optional but Recommended)
Prerequisites
• Basic computer knowledge
• General understanding of cloud computing (helpful but not mandatory)
• No programming or AI background required
Career Opportunities
• AI Business Analyst
• AI Product Coordinator
• Cloud AI Associate
• AI Solutions Consultant (Entry-Level)
• AWS AI/ML Practitioner
• GenAI Specialist (Functional Roles)
Job Market & Salary Insights (USA)
Role Avg Salary
AI Analyst $85,000 – $115,000
Cloud AI Associate $95,000 – $130,000
AI Product Analyst $100,000 – $140,000
GenAI Specialist $110,000 – $150,000
AI roles are among the fastest-growing job categories (BLS + industry reports 2025–2030)
No. This is a business-focused AI certification.
Yes — this is AWS’s equivalent of AI-900, but with stronger GenAI focus.
Moderate. Conceptual understanding + AWS service knowledge required.
Yes. GenAI adoption is exploding — this is an entry gateway certification.
Absolutely. Designed for non-technical and technical learners.
• Understanding GenAI concepts
• Choosing correct AWS service for use case
Yes (recommended), but not mandatory for passing.
• AWS Machine Learning Engineer Associate
• Azure AI Engineer (AI-102)
• GenAI specialization tracks
The AWS Certified AI Practitioner is more specialized and focuses on AI, Machine Learning, and Generative AI, whereas AWS Cloud Practitioner covers general cloud concepts.
This certification is ideal if you want to move into AI-focused roles, not just cloud basics.
10. Will this certification help me get a job in AI without experience?
Yes — this certification helps you:
• Understand AI concepts used in real business environments
• Speak confidently in interviews
• Qualify for entry-level AI and cloud roles
However, pairing it with:
• Hands-on labs
• Real-world projects
will significantly improve job opportunities.
AI is now used across almost every industry, including:
• Healthcare (diagnostics, patient data analysis)
• Finance (fraud detection, risk modeling)
• Retail (recommendation systems, customer insights)
• Cybersecurity (threat detection, automation)
• Manufacturing (predictive maintenance, automation)
AI is no longer niche — it is a core business skill across industries.
This is one of the highest ROI entry-level certifications because:
• Short learning curve (4–6 weeks preparation)
• Opens doors to high-paying AI-related roles
• Builds a foundation for advanced certifications
• Established since 1999
• Instructor-led real-world training
• Flexible schedules (Evening / Weekend)
• Career-focused curriculum
• Veteran & workforce-friendly programs
You can contact Global Information Technology (Global IT) through multiple channels:
• Phone: Call our admissions team for immediate assistance Toll Free: (866)-GO-GIT-GO Office: (248) 557-2480
• Email: Send your inquiry and receive detailed course guidance info@global-itech.com
• Website: Submit the inquiry form on our official website www.global-itech.com
• Visit: Walk into our training center for in-person consultation https://maps.app.goo.gl/GUML2SCaAYEV4SjKA
Our team will guide you through course selection, schedules, and career pathways.
Yes. Global IT offers free consultation sessions to help you make the right decision.
During the consultation, we will:
• Understand your career goals
• Recommend the best training path
• Explain certification benefits and job opportunities
• Provide course schedules and pricing options
You can schedule your consultation via phone, email, or website inquiry form.
About the Course
The AWS Certified AI Practitioner (AIF-C01) training program is a foundational-level course designed to help learners understand core Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) concepts with a focus on AWS services and real-world business applications.
This course prepares participants to confidently identify AI use cases, understand foundation models, apply prompt engineering techniques, and work with AWS AI services such as Amazon Bedrock and Amazon SageMaker.
Aligned with the official AWS exam guide, this program emphasizes business-focused AI understanding rather than coding or model development.
Who Should Attend
Course Objectives
By the end of this course, participants will be able to:
• Understand core AI, ML, and GenAI concepts
• Identify real-world AI business use cases
• Understand foundation models and prompt engineering
• Work with AWS AI/ML services (Bedrock, SageMaker, etc.)
• Evaluate AI model performance and business impact
• Apply Responsible AI principles
• Understand AI security, compliance, and governance
Course Duration
• Total Duration: 24 Hours
• Delivery Mode: Instructor-led (Online / Classroom / Hybrid)
• Lab Access: AWS Hands-on Labs (Optional but Recommended)
Prerequisites
• Basic computer knowledge
• General understanding of cloud computing (helpful but not mandatory)
• No programming or AI background required
Course Modules (Aligned to AIF-C01 Exam Domains)
Module 1: Fundamentals of AI and Machine Learning (20%)
Topics:
• What is AI, ML, Deep Learning
• Types of AI (Narrow vs General)
• Supervised, Unsupervised, Reinforcement Learning
• AI Terminologies (model, training, inference, bias, fairness)
• Data types (structured vs unstructured)
• Real-world AI use cases
Lab:
• Exploring AWS AI services overview
• Demo: AI use case mapping
Module 2: Fundamentals of Generative AI (24%)
Topics:
• What is Generative AI
• Tokens, embeddings, vectors
• Large Language Models (LLMs)
• Multimodal AI
• GenAI use cases (chatbots, content generation, code generation)
• Advantages & limitations (hallucinations, bias)
Lab:
• Intro to Amazon Bedrock
• GenAI demo (text/image generation)
Module 3: Applications of Foundation Models (28%)
Topics:
• What are Foundation Models (FMs)
• Prompt Engineering:
o Zero-shot, Few-shot
o Chain-of-thought prompting
• RAG (Retrieval Augmented Generation)
• Fine-tuning vs Prompting
• Model evaluation metrics (BLEU, ROUGE, etc.)
• Agents and AI workflows
Lab:
• Prompt engineering hands-on
• Build simple GenAI workflow
Module 4: Responsible AI (14%)
Topics:
• Bias, fairness, inclusivity
• AI risks (hallucination, misuse)
• Transparency & explainability
• Ethical AI design
• AWS Guardrails
Lab:
• Bias detection demo
• Responsible AI case study
Module 5: Security, Compliance & Governance (14%)
Topics:
• AWS Shared Responsibility Model
• IAM for AI systems
• Data privacy & encryption
• Governance frameworks
• Compliance (data handling, regulations)
Lab:
• IAM policy demo
• Secure AI workflow design
Key AWS Services Covered
• Amazon Bedrock
• Amazon SageMaker
• Amazon Comprehend
• Amazon Rekognition
• Amazon Lex
• Amazon Polly
• Amazon Transcribe
• Amazon Translate
• AWS IAM
• Amazon S3
Certification Exam Details
• Exam Code: AIF-C01
• Questions: ~65 (50 scored + 15 unscored)
• Duration: ~90 minutes
• Format: MCQ, Multiple Response, Matching, Ordering
• Passing Score: 700 / 1000
• Level: Foundational
Career Opportunities
• AI Business Analyst
• AI Product Coordinator
• Cloud AI Associate
• AI Solutions Consultant (Entry-Level)
• AWS AI/ML Practitioner
• GenAI Specialist (Functional Roles)
Job Market & Salary Insights (USA)
Role Avg Salary
AI Analyst $85,000 – $115,000
Cloud AI Associate $95,000 – $130,000
AI Product Analyst $100,000 – $140,000
GenAI Specialist $110,000 – $150,000
AI roles are among the fastest-growing job categories (BLS + industry reports 2025–2030)
No. This is a business-focused AI certification.
Yes — this is AWS’s equivalent of AI-900, but with stronger GenAI focus.
Moderate. Conceptual understanding + AWS service knowledge required.
Yes. GenAI adoption is exploding — this is an entry gateway certification.
Absolutely. Designed for non-technical and technical learners.
• Understanding GenAI concepts
• Choosing correct AWS service for use case
Yes (recommended), but not mandatory for passing.
• AWS Machine Learning Engineer Associate
• Azure AI Engineer (AI-102)
• GenAI specialization tracks
The AWS Certified AI Practitioner is more specialized and focuses on AI, Machine Learning, and Generative AI, whereas AWS Cloud Practitioner covers general cloud concepts.
This certification is ideal if you want to move into AI-focused roles, not just cloud basics.
10. Will this certification help me get a job in AI without experience?
Yes — this certification helps you:
• Understand AI concepts used in real business environments
• Speak confidently in interviews
• Qualify for entry-level AI and cloud roles
However, pairing it with:
• Hands-on labs
• Real-world projects
will significantly improve job opportunities.
AI is now used across almost every industry, including:
• Healthcare (diagnostics, patient data analysis)
• Finance (fraud detection, risk modeling)
• Retail (recommendation systems, customer insights)
• Cybersecurity (threat detection, automation)
• Manufacturing (predictive maintenance, automation)
AI is no longer niche — it is a core business skill across industries.
This is one of the highest ROI entry-level certifications because:
• Short learning curve (4–6 weeks preparation)
• Opens doors to high-paying AI-related roles
• Builds a foundation for advanced certifications
• Established since 1999
• Instructor-led real-world training
• Flexible schedules (Evening / Weekend)
• Career-focused curriculum
• Veteran & workforce-friendly programs
You can contact Global Information Technology (Global IT) through multiple channels:
• Phone: Call our admissions team for immediate assistance Toll Free: (866)-GO-GIT-GO Office: (248) 557-2480
• Email: Send your inquiry and receive detailed course guidance info@global-itech.com
• Website: Submit the inquiry form on our official website www.global-itech.com
• Visit: Walk into our training center for in-person consultation https://maps.app.goo.gl/GUML2SCaAYEV4SjKA
Our team will guide you through course selection, schedules, and career pathways.
Yes. Global IT offers free consultation sessions to help you make the right decision.
During the consultation, we will:
• Understand your career goals
• Recommend the best training path
• Explain certification benefits and job opportunities
• Provide course schedules and pricing options
You can schedule your consultation via phone, email, or website inquiry form.
About the Course
The AWS Certified AI Practitioner (AIF-C01) training program is a foundational-level course designed to help learners understand core Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) concepts with a focus on AWS services and real-world business applications.
This course prepares participants to confidently identify AI use cases, understand foundation models, apply prompt engineering techniques, and work with AWS AI services such as Amazon Bedrock and Amazon SageMaker.
Aligned with the official AWS exam guide, this program emphasizes business-focused AI understanding rather than coding or model development.
Who Should Attend
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Course Modules (Aligned to AIF-C01 Exam Domains)
Module 1: Fundamentals of AI and Machine Learning (20%)
Topics:
• What is AI, ML, Deep Learning
• Types of AI (Narrow vs General)
• Supervised, Unsupervised, Reinforcement Learning
• AI Terminologies (model, training, inference, bias, fairness)
• Data types (structured vs unstructured)
• Real-world AI use cases
Lab:
• Exploring AWS AI services overview
• Demo: AI use case mapping
Module 2: Fundamentals of Generative AI (24%)
Topics:
• What is Generative AI
• Tokens, embeddings, vectors
• Large Language Models (LLMs)
• Multimodal AI
• GenAI use cases (chatbots, content generation, code generation)
• Advantages & limitations (hallucinations, bias)
Lab:
• Intro to Amazon Bedrock
• GenAI demo (text/image generation)
Module 3: Applications of Foundation Models (28%)
Topics:
• What are Foundation Models (FMs)
• Prompt Engineering:
o Zero-shot, Few-shot
o Chain-of-thought prompting
• RAG (Retrieval Augmented Generation)
• Fine-tuning vs Prompting
• Model evaluation metrics (BLEU, ROUGE, etc.)
• Agents and AI workflows
Lab:
• Prompt engineering hands-on
• Build simple GenAI workflow
Module 4: Responsible AI (14%)
Topics:
• Bias, fairness, inclusivity
• AI risks (hallucination, misuse)
• Transparency & explainability
• Ethical AI design
• AWS Guardrails
Lab:
• Bias detection demo
• Responsible AI case study
Module 5: Security, Compliance & Governance (14%)
Topics:
• AWS Shared Responsibility Model
• IAM for AI systems
• Data privacy & encryption
• Governance frameworks
• Compliance (data handling, regulations)
Lab:
• IAM policy demo
• Secure AI workflow design
Key AWS Services Covered
• Amazon Bedrock
• Amazon SageMaker
• Amazon Comprehend
• Amazon Rekognition
• Amazon Lex
• Amazon Polly
• Amazon Transcribe
• Amazon Translate
• AWS IAM
• Amazon S3
Certification Exam Details
• Exam Code: AIF-C01
• Questions: ~65 (50 scored + 15 unscored)
• Duration: ~90 minutes
• Format: MCQ, Multiple Response, Matching, Ordering
• Passing Score: 700 / 1000
• Level: Foundational
Course Objectives
By the end of this course, participants will be able to:
• Understand core AI, ML, and GenAI concepts
• Identify real-world AI business use cases
• Understand foundation models and prompt engineering
• Work with AWS AI/ML services (Bedrock, SageMaker, etc.)
• Evaluate AI model performance and business impact
• Apply Responsible AI principles
• Understand AI security, compliance, and governance
Course Duration
• Total Duration: 24 Hours
• Delivery Mode: Instructor-led (Online / Classroom / Hybrid)
• Lab Access: AWS Hands-on Labs (Optional but Recommended)
Prerequisites
• Basic computer knowledge
• General understanding of cloud computing (helpful but not mandatory)
• No programming or AI background required
Career Opportunities
• AI Business Analyst
• AI Product Coordinator
• Cloud AI Associate
• AI Solutions Consultant (Entry-Level)
• AWS AI/ML Practitioner
• GenAI Specialist (Functional Roles)
Job Market & Salary Insights (USA)
Role Avg Salary
AI Analyst $85,000 – $115,000
Cloud AI Associate $95,000 – $130,000
AI Product Analyst $100,000 – $140,000
GenAI Specialist $110,000 – $150,000
AI roles are among the fastest-growing job categories (BLS + industry reports 2025–2030)
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No. This is a business-focused AI certification.
Yes — this is AWS’s equivalent of AI-900, but with stronger GenAI focus.
Moderate. Conceptual understanding + AWS service knowledge required.
Yes. GenAI adoption is exploding — this is an entry gateway certification.
Absolutely. Designed for non-technical and technical learners.
• Understanding GenAI concepts
• Choosing correct AWS service for use case
Yes (recommended), but not mandatory for passing.
• AWS Machine Learning Engineer Associate
• Azure AI Engineer (AI-102)
• GenAI specialization tracks
The AWS Certified AI Practitioner is more specialized and focuses on AI, Machine Learning, and Generative AI, whereas AWS Cloud Practitioner covers general cloud concepts.
This certification is ideal if you want to move into AI-focused roles, not just cloud basics.
10. Will this certification help me get a job in AI without experience?
Yes — this certification helps you:
• Understand AI concepts used in real business environments
• Speak confidently in interviews
• Qualify for entry-level AI and cloud roles
However, pairing it with:
• Hands-on labs
• Real-world projects
will significantly improve job opportunities.
AI is now used across almost every industry, including:
• Healthcare (diagnostics, patient data analysis)
• Finance (fraud detection, risk modeling)
• Retail (recommendation systems, customer insights)
• Cybersecurity (threat detection, automation)
• Manufacturing (predictive maintenance, automation)
AI is no longer niche — it is a core business skill across industries.
This is one of the highest ROI entry-level certifications because:
• Short learning curve (4–6 weeks preparation)
• Opens doors to high-paying AI-related roles
• Builds a foundation for advanced certifications
• Established since 1999
• Instructor-led real-world training
• Flexible schedules (Evening / Weekend)
• Career-focused curriculum
• Veteran & workforce-friendly programs
You can contact Global Information Technology (Global IT) through multiple channels:
• Phone: Call our admissions team for immediate assistance Toll Free: (866)-GO-GIT-GO Office: (248) 557-2480
• Email: Send your inquiry and receive detailed course guidance info@global-itech.com
• Website: Submit the inquiry form on our official website www.global-itech.com
• Visit: Walk into our training center for in-person consultation https://maps.app.goo.gl/GUML2SCaAYEV4SjKA
Our team will guide you through course selection, schedules, and career pathways.
Yes. Global IT offers free consultation sessions to help you make the right decision.
During the consultation, we will:
• Understand your career goals
• Recommend the best training path
• Explain certification benefits and job opportunities
• Provide course schedules and pricing options
You can schedule your consultation via phone, email, or website inquiry form.
Expanded baseline security topics essential for IT support, including physical vs. logical security concepts, malware, and more.
A revised approach to operational procedures, covering basic disaster prevention, recovery, and scripting basics.
A stronger focus on networking and device connectivity
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