About the Course
This combined program gives learners a strong foundation in both Generative AI and AWS Cloud. It blends modern AI skills with essential cloud knowledge, helping participants understand how today’s intelligent systems are built, deployed, and used in real-world environments. The course provides a simple, practical learning path for beginners and professionals who want to enter the fast-growing world of AI and cloud technologies.
Course Overview
The program covers two major areas: Generative AI fundamentals and AWS Cloud basics. Learners start by understanding how generative AI models work, how to use them for text, images, and practical tasks, and how to apply prompt engineering effectively. The AWS section teaches core cloud concepts, global infrastructure, pricing, security basics, and key AWS services. The course mixes theory with hands-on practice, giving the learner practical experience with modern tools and platforms. It is designed for people who want a complete introduction to AI and cloud skills in one program.
Course Outcomes
After completing the program, participants will be able to:
- Understand how generative AI models work and where they are used.
- Use prompt engineering methods to get better results from AI tools.
- Create simple AI-powered outputs such as text, images, and summaries.
- Understand AWS Cloud concepts, infrastructure, and core services.
- Learn cloud security basics, pricing models, and cost-optimization ideas.
- Build confidence to work with cloud environments and use AI tools in real projects.
- Be prepared to move toward the AWS Certified Cloud Practitioner exam and advanced AI learning paths.
Career Path
This combo program is suitable for beginners, students, and professionals who want to build future-ready skills. It opens pathways for roles such as:
- Cloud Support Associate
- AI/ML Assistant or Prompt Engineer
- Junior Cloud Engineer
- AI Content Creator / Automation Specialist
- IT or Business Professional transitioning into cloud and AI roles
The program also prepares learners for advanced certifications and career growth, including:
- AWS Certified Cloud Practitioner
- AWS Solutions Architect Associate
- Generative AI Specialist roles
- Professional AI/Cloud upskilling tracks
This combined program gives learners a strong start in both cloud and AI, two of the most demanded skill areas in the world today.
Course Outline
Module 1: Introduction to AI & Cloud
- What is Artificial Intelligence and Generative AI
- What is Cloud Computing
- How AI and Cloud work together
- Real-world examples and industry use cases
Module 2: Generative AI Fundamentals
- Overview of generative models: LLMs, image & multi-modal models
- Tokens, embeddings, and how models process data
- Strengths and limitations of generative AI
- Safety basics: bias, hallucinations, and responsible use
Module 3: Practical GenAI Skills & Prompt Engineering
- Prompt engineering: zero-shot, few-shot, step prompts
- Writing effective prompts for text and images
- Creating summaries, translations, drafts, and creative outputs
- Hands-on tools and small applied projects
Module 4: AWS Cloud Practitioner Essentials
- AWS global infrastructure: regions, AZs, edge locations
- Core AWS services: compute, storage, networking, databases
- Shared responsibility model
- Basic architecture concepts for beginners
Module 5: AWS Security, Pricing & Cloud Best Practices
- Cloud security basics: IAM and access control
- AWS billing, pricing models, and cost optimization tips
- Support plans, budgets, and simple cost-saving methods
- Practical cloud use cases for projects and business
Module 6: Integrating Generative AI With AWS
- How AI tools run in cloud environments
- Overview of AWS AI services (Comprehend, Rekognition, Bedrock)
- Choosing cloud options for AI workflows
- Simple cloud + AI starter projects
Module 7: Final Project & Exam Preparation
- Build a small AI + Cloud mini-project
- Review AWS Cloud Practitioner exam topics
- Practice questions and mock checks
- Next steps: specialization and career path planning
