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
โข Understand the fundamentals of Generative AI and prompt engineering concepts
โข Learn how AI models generate text, images, and business content outputs
โข Create effective prompts for improving AI-generated responses and workflows
โข Apply Generative AI tools for productivity, automation, and content creation use cases
โข Explore prompt optimization, context management, and response refinement techniques
โข Understand ethical, responsible, and secure usage of Generative AI technologies
Duration & Delivery Mode
14 hours
Target Audience
โข Business professionals and knowledge workers
โข IT and technical teams
โข Content creators and marketers
โข Consultants, trainers, and educators
โข Anyone exploring generative AI adoption
Pre-requisites
โข Basic computer literacy
โข Familiarity with AI tools like ChatGPT is helpful but not mandatory
โข No programming or advanced technical background required
Skillset Achieved
โข Understanding generative AI fundamentals
โข Designing effective prompts for AI tools
โข Improving AI outputs through prompt refinement
โข Applying generative AI across real-world use cases
โข 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
โข What is generative AI and how it works
โข Overview of large language models
โข Common generative AI use cases
Foundations of Prompt Engineering
โข Role of prompts in generative AI
โข Prompt structure and design principles
โข Importance of context and clarity
Core Prompting Techniques
โข Zero-shot and one-shot prompting
โข Role-based and instruction-based prompts
โข Avoiding common prompting mistakes
Generative AI for Productivity and Creativity
โข Content creation and editing
โข Research and summarization
โข Brainstorming and ideation
Intermediate Prompt Engineering Techniques
โข Few-shot prompting concepts
โข Step-by-step and reasoning prompts
โข Constraint-based prompting
Prompt Refinement and Optimization
โข Iterative prompting strategies
โข Debugging inaccurate or inconsistent outputs
โข Improving relevance and consistency
Business and Professional Use Cases
โข Reports, presentations, and communication
โข Planning, analysis, and decision support
โข Workflow documentation and SOP creation
Hands-on Generative AI and Prompting Workshop
โข Real-world prompt exercises
โข Live demonstrations
โข Participant practice and feedback
Assessment Topics
โข Fundamentals of Generative AI and prompt engineering
โข AI model capabilities and content generation workflows
โข Prompt structuring and optimization techniques
โข Context handling and response refinement methods
โข Business productivity and automation use cases
โข Practical hands-on Generative AI and prompting exercises
Evaluation
โข Practical prompt design exercises
โข Scenario-based assessments
โข 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.
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What Our Students Say
โExcellent introduction to generative AI and prompting.โ
โVery practical and easy to apply immediately.โ
โClear structure and valuable hands-on sessions.โ
โPerfect balance of theory and practice.โ
โA must-attend course for AI beginners and professionals.โ