AI in Excel using Microsoft Copilot
Course provided by Model Institute of Engineering & Technology
5 modules
Explore the fundamentals of Artificial Intelligence & Machine Learning
4.5 Level NCrF
National Credit Framework
30 Hours
Flexible Learning
Beginner Level
No prior experience required
Nano Credic Course
01 Credit
Course Overview
This course provides a practical, beginner-friendly introduction to Prompt Engineering for Generative AI (GenAI). Learners will gain tool-based exposure to ChatGPT and DALL·E, mastering real-time prompt tuning to achieve precise and creative outputs. The course explores applications in content creation, search optimization, and task automation, empowering participants to unlock the full potential of AI-driven tools in professional and creative workflows.
Key Learning Highlights
- Hands-on experience with ChatGPT and DALL·E
- Real-time prompt tuning for accurate, context-aware results
- Applications in content creation, search optimization, and automation
- Strategies for designing effective prompts across use cases
- Exposure to GenAI best practices and ethical considerations
Tools & Platform Used
Learning Outcome
By the end of this course, students will be able to:
- Understand core concepts of Prompt Engineering in Generative AI
- Craft effective prompts for diverse outputs and use cases
- Utilize ChatGPT and DALL·E for professional and creative applications
- Optimize search and content workflows using AI tools
- Automate tasks and enhance productivity through prompt-based solutions
Master the course with just 5 Modules
This course takes learners from the fundamentals of Generative AI and prompt construction to advanced tuning techniques. Beginning with the principles behind AI-generated text and images, participants progress to hands-on experimentation with real-world use cases. The journey ends with a deep dive into emerging trends, ethical implications, and future opportunities in the rapidly evolving field of GenAI.
Introduction to Generative AI and LLMs
- Understand the fundamentals of Generative AI and Large Language Models (LLMs).
- Explore examples such as GPT, Gemini, Claude, and DALL·E.
- Discuss ethical considerations and responsible AI use.
Prompt Formats and Tokens
- Learn prompt structure and formatting best practices.
- Understand tokens, temperature, top-k, max tokens, and stop sequences.
- Control AI output style, length, and focus through parameter tuning.
Zero-shot and Few-shot Prompting
- Apply zero-shot and few-shot techniques for various tasks.
- Design prompts with constraints, context, and personalization.
- Leverage examples to enhance model accuracy and relevance.
Prompt Iteration and Bias Handling
- Refine and improve AI responses through iterative prompt tuning.
- Identify and mitigate AI hallucinations and factual errors.
- Reduce model bias for fair, inclusive, and balanced outputs.
Use Case Design Project
- Create hands-on prompt solutions for real-world scenarios.
- Work on business, education, and creative applications.
- Build professional prompts for resumes, reports, and automation tasks
Roles
- GenAI Content Specialist
- Prompt Engineer
