Generative AI and Prompt Engineering
This course introduces the fundamentals of Generative AI and prompt engineering, teaching participants how to effectively interact with AI models to generate content, automate tasks, and improve productivity. Learn practical techniques to design effective prompts and apply AI tools for real-world business and creative applications.
Overview
The Generative AI and Prompt Engineering Training is designed to help professionals understand and effectively use modern AI tools to create content, automate workflows, and solve real-world business problems. This course focuses on how generative AI models work and how to interact with them using well-structured prompts. Participants will learn how to design, refine, and optimize prompts for different use cases such as content creation, data analysis, coding assistance, and business automation. The training also explores practical applications of tools like ChatGPT and other large language model (LLM) platforms to improve productivity and decision-making.
With a hands-on, application-driven approach, this program equips learners with the skills to leverage generative AI effectively across industries—helping them enhance efficiency, innovate faster, and stay competitive in an AI-driven world.
Course Outline
- Introduction to Generative AI and Large Language Models (LLMs)
- How models work (tokens, context, parameters)
- Capabilities, limitations, and use cases across industries
- What is prompt engineering and why it matters
- Types of prompts: zero-shot, one-shot, few-shot
- Prompt structure: role + task + context + output format
- Common mistakes and best practices
- Hands-on with ChatGPT and similar tools
- Understanding model responses and behavior
- Prompt testing, iteration, and refinement
- Generating text, summaries, and structured outputs
- Chain-of-thought prompting
- Role-based and persona prompting
- Context engineering and instruction tuning
- Prompt optimization and performance improvement
- Designing structured prompt frameworks
- Creating reusable prompt templates
- Standardizing prompts for consistent outputs
- Prompt libraries for business use
- AI for blogs, emails, reports, and social media
- Marketing and business content generation
- Automating repetitive tasks with prompts
- Building workflow templates
- Decision-making and insights generation
- Data summarization and reporting
- AI for customer support and chatbots
- Productivity tools and AI integration
- Code generation, debugging, and documentation
- Using AI for technical workflows
- Prompting for structured outputs (JSON, tables)
- Integration concepts (APIs, automation tools)
- Introduction to image and voice-based AI
- Overview of multimodal capabilities
- Generative AI trends and future applications
- Measuring output quality and accuracy
- Iterative improvement techniques
- Reducing hallucinations and bias
- Fine-tuning prompts for better results
- Bias, hallucinations, and risks
- Ethical AI usage and governance
- Data privacy and security considerations
- Responsible AI best practices
- Practical exercises for each module
- Real-world prompt scenarios
- Business and technical use cases
- Build a real-world AI solution (content, automation, workflow)
- Apply prompt frameworks and techniques
- Present solution and receive expert feedback
Who Should Attend
- Professionals looking to leverage Generative AI for productivity and business impact
- Beginners interested in learning AI tools and prompt engineering from scratch
- Content creators, marketers, and copywriters using AI for content generation
- Business analysts and managers seeking to improve decision-making and automation
- Software developers and engineers exploring AI-assisted coding and workflows
- Entrepreneurs and startup founders looking to build AI-driven solutions
- Data professionals wanting to enhance insights using AI tools
- IT and digital transformation professionals adopting AI in organizations
- Students and graduates exploring careers in AI, automation, and emerging technologies
- Anyone interested in mastering tools like ChatGPT and applying AI in real-world scenarios
Certification
On successful completion of the course and exam, you will receive a Course Completion Certificate from Grasp Skill.
Benefits
Benefits of Attending Generative AI and Prompt Engineering Course
- Learn how to effectively use Generative AI tools like ChatGPT to automate tasks and boost productivity
- Master prompt engineering techniques to generate accurate, high-quality outputs
- Improve efficiency in tasks such as content creation, research, analysis, and coding
Career and Business Advantages
- Gain in-demand skills in AI, automation, and digital transformation
- Enhance career opportunities across roles in marketing, IT, data, and business operations
- Stay competitive in a rapidly evolving AI-driven job market
Practical Skills Development
- Create effective prompts for emails, reports, blogs, and business content
- Automate repetitive workflows and improve daily productivity
- Use AI for decision-making, summarization, and problem-solving
Advanced AI Capabilities
- Understand how large language models (LLMs) work and their real-world applications
- Apply advanced prompting techniques like role-based and chain-of-thought prompting
- Learn to refine and optimize prompts for better accuracy and results
Responsible and Ethical AI Use
- Understand AI limitations such as bias and hallucinations
- Apply best practices for ethical and secure AI usage
About Trainer
- Actuary with over 20 years of experience. He has worked on the calibration of a number of Internal Models and authored a number of industry and academic papers including “Uncertainty in functional principal component analysis”.
Learning Outcomes
Generative AI and Prompt Engineering
- Understand the fundamentals of Generative AI and Large Language Models (LLMs)
- Learn how to effectively use tools like ChatGPT for real-world tasks
- Design and structure prompts using role, context, instructions, and output formats
Core Prompt Engineering Skills
- Apply techniques such as zero-shot, one-shot, and few-shot prompting
- Use chain-of-thought and role-based prompting for better results
- Optimize and refine prompts for accuracy, clarity, and consistency
Practical Application Skills
- Generate content for emails, blogs, reports, and social media
- Automate workflows and repetitive tasks using AI
- Use AI for summarization, analysis, and decision support
Technical and Advanced Capabilities
- Use AI for code generation, debugging, and documentation
- Create structured outputs (tables, JSON, formatted content)
- Understand basics of AI integration and automation workflows
Business and Productivity Outcomes
- Apply AI to solve real-world business problems
- Improve productivity and efficiency across daily tasks
- Build reusable prompt templates for consistent results
Responsible AI Usage
- Identify and manage issues like bias, hallucinations, and limitations
- Apply ethical and secure practices when using AI tools
Student Reviews
"“This course completely changed how I use AI tools. I can now create high-quality content and automate tasks much faster.”"
"“The prompt engineering techniques were incredibly practical. I now get better and more consistent outputs from AI tools.”"
"“I learned how to use AI for data analysis and reporting. It has significantly improved my productivity at work.”"
"“The coding and technical use cases were very helpful. I now use AI daily for debugging and documentation.”"
Frequently Asked Questions
All the participants will be added to WhatsApp/SMS group and email thread. You can clarify doubts at any time via WhatsApp, SMS or email.
Group discounts are available to groups of more than three candidates. You can get up to 20% discount depending on the number of participants.
No, the certification is valid indefinitely, demonstrating principal component analysis proficiency.
Our courses are designed to provide high quality learning and outcomes that exceed expectations. If for some reason your expectations are not met. You will be given a refund in accordance with our 100% satisfaction policy.
The assessment tests practical understanding of principal component analysis concepts. With active participation, most participants pass on the first attempt.
The digital certificate is issued immediately upon passing the assessment.
We offer this as a self-paced course.
Yes, there will be an assessment of 20 questions based on the training topics at the end of the course, you will have to score 75% to pass.
Yes, we provide mentorship, doubt resolution, and guidance for assessment preparation.
Yes, you will be able to pay the course fees in instalments. Reach out to [email protected] to see the options available to you.
You will get 2 attempts to pass the test.
You will get access to the learning portal and certification exam voucher via email.
Yes. The online training is accessible worldwide.
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Upcoming Schedules
| Date | Time | Duration | Mode | Price | Action |
|---|---|---|---|---|---|
| 09:00 – 13:00 Kolkata (UTC+5:30) | 5 Days. 4 hrs each day ( total 20 Hours )- Jun 06, 07, 13, 14 and 15, 2026 | Live Online | $499.00 $349.00 |
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