Country Course Page Acad ID: ACAD0418
Generative AI and Prompt Engineering Training in United States

This course helps participants understand how generative AI models work and how to design effective prompts to generate accurate, relevant, and high-quality outputs for business, technical, and creative applications.

Overview

Generative AI and Prompt Engineering Training provides a comprehensive introduction to generative AI concepts and practical prompt engineering techniques. This course helps participants understand how generative AI models work and how to design effective prompts to generate accurate, relevant, and high-quality outputs for business, technical, and creative applications.

Learning Outcomes

โ€ข Understand the fundamentals of Generative AI and prompt engineering concepts
โ€ข Learn how AI models generate text, images, and business content outputs
โ€ข Create effective prompts for improving AI-generated responses and workflows
โ€ข Apply Generative AI tools for productivity, automation, and content creation use cases
โ€ข Explore prompt optimization, context management, and response refinement techniques
โ€ข Understand ethical, responsible, and secure usage of Generative AI technologies

Duration & Delivery Mode

14 hours

We serve:
Target Audience

โ€ข Business professionals and knowledge workers
โ€ข IT and technical teams
โ€ข Content creators and marketers
โ€ข Consultants, trainers, and educators
โ€ข Anyone exploring generative AI adoption

Pre-requisites

โ€ข Basic computer literacy
โ€ข Familiarity with AI tools like ChatGPT is helpful but not mandatory
โ€ข No programming or advanced technical background required

Skillset Achieved

โ€ข Understanding generative AI fundamentals
โ€ข Designing effective prompts for AI tools
โ€ข Improving AI outputs through prompt refinement
โ€ข Applying generative AI across real-world use cases
โ€ข Using AI responsibly and ethically

Course Outcome

By the end of this training, participants will be able to understand generative AI fundamentals, design effective prompts, refine AI outputs, and confidently apply generative AI tools across multiple professional scenarios.

Course Outline

Introduction to Generative AI
โ€ข What is generative AI and how it works
โ€ข Overview of large language models
โ€ข Common generative AI use cases

Foundations of Prompt Engineering
โ€ข Role of prompts in generative AI
โ€ข Prompt structure and design principles
โ€ข Importance of context and clarity

Core Prompting Techniques
โ€ข Zero-shot and one-shot prompting
โ€ข Role-based and instruction-based prompts
โ€ข Avoiding common prompting mistakes

Generative AI for Productivity and Creativity
โ€ข Content creation and editing
โ€ข Research and summarization
โ€ข Brainstorming and ideation

Intermediate Prompt Engineering Techniques
โ€ข Few-shot prompting concepts
โ€ข Step-by-step and reasoning prompts
โ€ข Constraint-based prompting

Prompt Refinement and Optimization
โ€ข Iterative prompting strategies
โ€ข Debugging inaccurate or inconsistent outputs
โ€ข Improving relevance and consistency

Business and Professional Use Cases
โ€ข Reports, presentations, and communication
โ€ข Planning, analysis, and decision support
โ€ข Workflow documentation and SOP creation

Hands-on Generative AI and Prompting Workshop
โ€ข Real-world prompt exercises
โ€ข Live demonstrations
โ€ข Participant practice and feedback

Assessment Topics

โ€ข Fundamentals of Generative AI and prompt engineering
โ€ข AI model capabilities and content generation workflows
โ€ข Prompt structuring and optimization techniques
โ€ข Context handling and response refinement methods
โ€ข Business productivity and automation use cases
โ€ข Practical hands-on Generative AI and prompting exercises

Evaluation

โ€ข Practical prompt design exercises
โ€ข Scenario-based assessments
โ€ข Final hands-on prompt optimization task

Course Materials

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification

Participants will receive an AcadNXT Certification in Generative AI and Prompt Engineering Training, validating their understanding of generative AI concepts and prompt design techniques.

SELECT AN UPCOMING CLASS
Thu 13th Aug 2026 – Fri 14th Aug 2026
โฑ 2 days ๐Ÿ“ Classroom
AcadNXT Classroom - Washington, D.C Washington, D.C. United States
Fri 14th Aug 2026 – Sat 15th Aug 2026
โฑ 2 days ๐Ÿ“ Onsite
Sun 16th Aug 2026 – Mon 17th Aug 2026
โฑ 2 days ๐Ÿ“ Online Instructor-led
Wed 26th Aug 2026 – Thu 27th Aug 2026
โฑ 2 days ๐Ÿ“ Classroom
AcadNXT Classroom - Los Angeles, California Los Angeles United States
Tue 1st Sep 2026 – Wed 2nd Sep 2026
โฑ 2 days ๐Ÿ“ Online Instructor-led
Fri 4th Sep 2026 – Sat 5th Sep 2026
โฑ 2 days ๐Ÿ“ Onsite
Mon 7th Sep 2026 – Tue 8th Sep 2026
โฑ 2 days ๐Ÿ“ Classroom
AcadNXT Classroom - Washington, D.C Washington, D.C. United States
Mon 21st Sep 2026 – Tue 22nd Sep 2026
โฑ 2 days ๐Ÿ“ Onsite
Thu 24th Sep 2026 – Fri 25th Sep 2026
โฑ 2 days ๐Ÿ“ Classroom
AcadNXT Classroom - Washington, D.C Washington, D.C. United States
Thu 24th Sep 2026 – Fri 25th Sep 2026
โฑ 2 days ๐Ÿ“ Online Instructor-led
No upcoming classes are currently available for this delivery mode.
Availability

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