Eng. Safari Agaba – Industry Expert with Over 15 Years of Experience Engineering IT Environments for Fortune 500 Companies Across North America

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This skillsets will give you an entry job opportunity in Canada, USA or Anywhere working remotely 

Cloud AI Consultant 

Global Market Skillset Certificate

Module Code: SCC 01
Institution: SAFTECH Canada College
Duration: 12–16 Weeks
Level: Entry-Level
Delivery Mode: Online / Hybrid / In-Person

Equip learners with the technical, business, and communication skills to become Cloud AI Consultants capable of designing, deploying, and advising on AI solutions using cloud platforms like AWS, Azure, and GCP.

1. SCC Orientation ( Online / Hybrid / In-Person)
2. AI Tools and Prompting Essentials ( ChatGPT, Copilot) 
3. AI and Python Essentials
4. AI Tools for Career & Business ( Canva, SEO...)
5. Creating AI & IT Support Resumes with AI
6. Creating Business Proposals & Business Plans with AI
7. Lead Generation – Smart JD tactics for Job Hunting
8. Outbound Lead Generation ( Contract Hunting) 
9. Cold Emails – Business Email with AI Automation
10. Cold Calling – BPO Call Center Services
11. Create and Deploy Websites with AI (No-Code)
12. Create and Deploy Phone Apps with AI (No-Code)
13. Integrate AI ML Modules / Agent to Websites & Email
14. Create, Deploy & Train Agent on Semi-Structured Data
15. Create and Deploy Cloud Computing Services
16. Create and Deploy Office 365 Workspace Tools
17. Call Center - IT & Customer Support Essentials
18. Master O365 -  Email Signature, 
19. AI Agent Automation / Controllers 

• Cloud AI Consultant
• AI Support Specialist
• AI Business Analyst
• Machine Learning Deployment Engineer
• Cloud Solutions Architect (Entry-Level)
• AI Product Assistant / Coordinator

• Remote AI Freelancer
• AI Resume & Proposal Writer
• AI Chatbot Developer (No-Code)
• Freelance AI Business Consultant

• AI Business Engineer
• Digital Transformation Assistant
• AI Tools Integration Specialist
• AI-Powered Customer Support Agent

• IT & AI Support Agent (Call Center)
• AI Automation Specialist
• Cloud-Based Office 365 Administrator
• AI-Enhanced Sales & Lead Generation Agent

To successfully complete the program and receive your certificate, you must:

✅ Submit and Follow up 10 Resumes

✅ Submit and Follow up 10 Business Proposals

✅ Attend Interview and Job Preparation Tactics Session

• Conducted by Eng. Safari Agaba

✅ Obtain the SAFTECH Canada College Certificate

• Awarded upon successful completion of all modules and deliverables

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Role Summary:
The AI / IT Cloud Infrastructure Specialist is responsible for designing, deploying, and maintaining scalable, secure, and high-performance cloud environments that support AI and enterprise IT systems. This role bridges cloud engineering with AI infrastructure, ensuring seamless integration, automation, and operational efficiency.

Key Responsibilities:

• Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP)
• Infrastructure as Code (IaC): Terraform, AWS CloudFormation, Azure Resource Manager (ARM)
• Virtualization & Compute: EC2, Azure VMs, GCP Compute Engine
• Storage & Networking: S3, Azure Blob, VPC, Load Balancers, CDN

• AI Platforms: AWS SageMaker, Azure Machine Learning, Google Vertex AI
• ML Frameworks: TensorFlow, PyTorch, Scikit-learn
• Model Deployment: Docker, Kubernetes, 
• Data Pipelines: Apache Airflow, Kubeflow, AWS Step Functions

• Cloud Security: IAM, KMS, Security Groups, WAF
• Monitoring & Logging: CloudWatch, Azure Monitor, GCP Operations Suite
• Compliance: SOC 2, ISO 27001, HIPAA (depending on industry)

• CI/CD Tools: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps
• Configuration Management: Ansible, Chef, Puppet
• Containers & Orchestration: Docker, Kubernetes, Helm

• Databases: Amazon RDS, DynamoDB, BigQuery, Azure SQL
• Data Engineering: Spark, Kafka, Glue, Dataflow
• ETL/ELT Tools: Talend, dbt, Informatica

• Languages: Python, Bash, PowerShell, YAML, JSON
• Version Control: Git, GitHub, GitLab

Experience Level Annual Salary 

Entry-Level (0–2 yrs)$75,000 – $105,000

Mid-Level (2–5 yrs)$105,000 – $140,000

Senior (5+ yrs)$140,000 – $180,000+

Canada and the US Average~$122,000

• High Demand: AI and cloud infrastructure are among the top 3 most in-demand tech skills in Canada.
• Hybrid Expertise: Roles that combine AI and cloud infrastructure are especially valued in IT, finance, healthcare, and government sectors.
• Future-Proof: This role is considered future-resilient, with demand expected to grow by 30%+ over the next 5 years.

Certification: AWS Certified Cloud Practitioner

 Certification: Microsoft Certified: Azure Fundamentals (AZ-900)

 Certification: Associate Cloud Engineer  

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• Explosive Growth: Canada’s IT sector is projected to grow by 15–20%, with AI, cloud computing, and project management among the top in-demand skills 1.
• Hybrid Roles Rising: Employers are actively seeking professionals who can bridge technical cloud/AI expertise with project leadership, especially in sectors like healthcare, finance, and smart infrastructure2.
• AI & Cloud Integration: The demand for specialists who can manage AI and cloud infrastructure projects is expected to grow 30–35% by 2026 1.

Experience Level Annual Salary

  Entry-Level (0–2 yrs)$85,000 – $110,000

Mid-Level (3–5 yrs)$110,000 – $145,000

Senior (5+ yrs)$145,000 – $180,000

Role Summary:
This hybrid role combines technical expertise in AI and cloud infrastructure with project management leadership. You will oversee the planning, execution, and delivery of AI-driven cloud solutions, ensuring alignment with business goals, timelines, and compliance standards.

Key Responsibilities:

• Lead end-to-end project delivery for AI and cloud infrastructure initiatives
• Collaborate with cross-functional teams (DevOps, Data Science, Security)
• Manage cloud architecture, deployment, and automation strategies
• Ensure project milestones, budgets, and KPIs are met
• Mitigate risks and ensure compliance with IT governance and security standards

Required Essential Skills:

• Cloud Platforms: AWS, Azure, GCP
• AI/ML Tools: SageMaker, Azure ML, TensorFlow
• Project Management: Agile, Scrum, PMP 
• DevOps & Automation: Terraform, Jenkins, Kubernetes
• Communication & Leadership: Stakeholder management, reporting, team coordination

SCC 03 Module 

1. SELF EMPLOYED & 
2. LEAD GENERATION
3. CORE AREAS OF FINANCIAL LITERACY 
4. VISA AND IMMIGRAION TYPES
5. INVEST IN AFRICA