Description
Duration: 1 day
This course covers the core concepts, methods, and strategies behind generative AI, giving you a working understanding of where and how it can address real business needs. You will examine the technologies associated with generative AI and learn how to apply them to practical problems. The course also addresses responsible use of generative AI and related security considerations. Toward the end, you will work through project planning and how to approach bringing generative AI into your organization.
Target Audience
- Business analysts
- IT support staff
- Marketing professionals
- Product or project managers
- Line-of-business or IT managers
- Sales professionals
Prerequisites
What’s included?
- Authorized Courseware
- Intensive Hands on Skills Development with an Experienced Subject Matter Expert
- Hands on practice on real Servers and extended lab support 1.800.482.3172
- Examination Vouchers & Onsite Certification Testing – (excluding Adobe and PMP Boot Camps)
- Academy Code of Honor: Test Pass Guarantee
- Optional: Package for Hotel Accommodations, Lunch and Transportation
With several convenient training delivery methods offered, The Code Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Code Academy for an engaging and effective learning experience.
Methods
- Instructor Led (the best training format we offer)
- Live Online Classroom – Online Instructor Led
- Self-Paced Video
Speak to an Admissions Representative for complete details
| Start | Finish | Public Price | Public Enroll | Private Price | Private Enroll |
|---|---|---|---|---|---|
| 5/25/2026 | 5/25/2026 | ||||
| 6/15/2026 | 6/15/2026 | ||||
| 7/6/2026 | 7/6/2026 | ||||
| 7/27/2026 | 7/27/2026 | ||||
| 8/17/2026 | 8/17/2026 | ||||
| 9/7/2026 | 9/7/2026 | ||||
| 9/28/2026 | 9/28/2026 | ||||
| 10/19/2026 | 10/19/2026 | ||||
| 11/9/2026 | 11/9/2026 | ||||
| 11/30/2026 | 11/30/2026 | ||||
| 12/21/2026 | 12/21/2026 | ||||
| 1/11/2027 | 1/11/2027 | ||||
| 2/1/2027 | 2/1/2027 | ||||
| 2/22/2027 | 2/22/2027 | ||||
| 3/15/2027 | 3/15/2027 | ||||
| 4/5/2027 | 4/5/2027 | ||||
| 4/26/2027 | 4/26/2027 |
Learning Objectives
- Summarize the key concepts, methods, and strategies of generative AI
- Explain the appropriate application of generative AI and machine learning technologies
- Describe practices for using generative AI responsibly and safely
- Identify types of generative AI solutions and their corresponding use cases
- Outline implementation steps and project planning considerations for deploying generative AI in an organization
Course Outline
Module Module 1: Introduction to Generative AI
[‘What is generative AI’, ‘Foundation models’, ‘AWS generative AI services’, ‘Demo: Generative AI solution’]
Module Module 2: Generative AI Use Cases
[‘Identifying appropriate use cases’, ‘Generative AI applications and scenarios’, ‘Reviewing generative AI use case examples’, ‘Class use case exercise’]
Module Module 3: Prompt Engineering Fundamentals
[‘Overview of prompt engineering’, ‘Best practices for prompt design’, ‘Advanced prompting techniques’, ‘Model settings and parameters’, ‘Hands-on Lab: Optimizing Slogan Generation with Amazon Bedrock’]
Module Module 4: Responsible AI Principles and Considerations
[‘Overview of responsible AI’, ‘Key dimensions of responsible AI’, ‘Considerations specific to generative AI’, ‘Hands-on Lab: Implementing Responsible AI Principles with Amazon Bedrock Guardrails’]
Module Module 5: Security, Governance, and Compliance
[‘Security fundamentals’, ‘Adverse prompts’, ‘Generative AI security services’, ‘Governance considerations’, ‘Compliance requirements’]
Module Module 6: Planning and Implementing Generative AI Projects
[‘Overview of generative AI application development’, ‘Defining a use case’, ‘Selecting a foundation model’, ‘Improving model performance’, ‘Evaluating results’, ‘Deploying the application’, ‘Demo: Amazon Q Business’]
Module Module 7: Incorporating Generative AI into the Development Lifecycle
[‘Overview’, ‘Hands-on Lab: Capstone – Creating a Project Plan with Generative AI’]
Module Module 8: Course Wrap-up
[‘Next steps and additional resources’, ‘Course summary’]
