This cutting-edge program bridges two of the most powerful technologies of our time—cloud computing and generative AI. Designed for professionals and decision-makers, the course explores how scalable cloud platforms integrate with GenAI tools to drive automation, agility, and innovation across industries. Participants will learn to deploy GenAI solutions on the cloud, optimize infrastructure for intelligent workloads, and develop strategies for enterprise-wide AI adoption.
Teaching Methodology:
Live Expert Sessions: Led by AI strategists and certified cloud engineers
Hands-On Labs: Real-time deployment and API integration exercises
Case-Based Workshops: Drawn from industries like healthcare, finance, retail
Collaborative Capstone: Simulate real-world GenAI application planning in cloud environments
Key Learning Outcomes:
By the end of this course, participants will:
Identify key components of cloud infrastructure enabling GenAI.
Build workflows that integrate APIs from models like GPT, Claude, or Gemini into cloud applications.
Automate enterprise tasks using GenAI in document processing, customer support, and reporting.
Ensure compliance, security, and governance in cloud-hosted AI environments.
Lead cloud-AI integration initiatives with strategic clarity and confidence.
How You Will Benefit:
Understand the architecture and service models of cloud platforms supporting GenAI.
Learn to deploy and scale generative AI applications using Azure, AWS, or Google Cloud.
Explore real-world GenAI use cases in content creation, customer service, R&D, and operations.
Gain insight into cloud cost optimization, ethical AI, and data governance strategies.
Build a roadmap for cloud-AI transformation within your organization.
Delivery Format:
5 consecutive days
Available online (live virtual) or in-person (Dubai, Nairobi, Kigali, etc.)
Includes downloadable resources, sandbox environments, and post-training Q&A clinics
Certificate of Completion by Alverton Global
Course Features
- Lectures 15
- Quiz 0
- Duration 5 days
- Skill level Expert
- Language English
- Students 4
- Certificate Yes
- Assessments Yes
- 5 Sections
- 15 Lessons
- 5 Days
- Day 1: Foundations of Cloud and GenAI Synergy3
- Day 2: Deploying GenAI on the Cloud3
- Day 3: Intelligent Workflows in Business Operations3
- Day 4: Ethics, Compliance & Cost Management3
- Day 5: Strategy & Capstone Simulation3
Requirements
- Basic understanding of cloud computing or software development
- No prior AI programming experience required (low-code tools introduced)
Features
- Combines strategic leadership with technical practicality
- Covers Azure, AWS, and Google Cloud perspectives
- AI use cases tailored to different business functions
- Ethical and governance frameworks for enterprise adoption
- Post-course mentorship and access to community forums
Target audiences
- IT Managers and Cloud Architects
- Business Leaders overseeing digital transformation
- Data Scientists and AI Developers
- Professionals seeking to integrate GenAI into enterprise workflows
