Prompt Engineering Training
Master prompt engineering and vibe coding basics to build AI-powered tools—no coding experience required.
Enroll NowDuration (Total 6 Hours)
Weekdays
Monday to Friday · 1 Hour per Day
+ 1 Bonus hour on Friday
Weekends
Saturday & Sunday · 3 Hours per Day
Training Agenda
Module 1: Foundations of Generative AI & Prompting
Objective: Understand the mechanics of GenAI systems and how prompting plays a central role.
- What is Generative AI? (LLMs, transformers, how models predict text)
- Common GenAI tools: ChatGPT, Claude, Gemini, Claude
- What is a "prompt"? Anatomy of a prompt
- Introduction to key prompting variables: role, task, specificity, temperature
Hands-on (15 min): 🔧 Fix This Prompt: Take a vague or broken prompt and iteratively improve it for clarity and results (e.g., "Write me something interesting" → role/task/specific improvements).
Module 2: Prompt Patterns & Techniques
Objective: Learn repeatable prompting structures to get consistent and quality outputs.
- Foundational patterns: Role + Task + Format + Constraints
- Chain-of-thought prompting
- Step-by-step zero-shot vs. few-shot prompting
- Step-by-step CoT vs. ToT prompting
- Prompt modifiers: tone, length, depth, persona
Hands-on (15 min): 🔧 Pattern Practice: Convert a generic task (e.g., "Explain blockchain") into 3 versions: Beginner explainer, Debate format, Visual summary.
Module 3: Smart Prompting for Learning & Creativity
Objective: Apply prompts to support knowledge work, education, and ideation.
- Prompts for teaching, summarizing, revising
- Creative prompt design: storytelling, ideation, brainstorming
- Templates: "Explain like I'm 12," "Write both sides," "Give me 3 perspectives"
- Using AI for second-brain workflows (e.g., study aids, creative sessions)
Hands-on (15 min): 🔧 Design a Smart Prompt Pack: Create 3 prompts you can use for learning or content generation.
Module 4: Tool-Specific Prompt Engineering
Objective: Understand how prompting changes depending on the tool or platform used.
- Differences in model behavior: ChatGPT vs. Claude vs. Notion AI
- Prompting for productivity tools (Canva AI, Office Copilot)
- Adjusting for character limits, interface styles, or context memory
- Integrating prompts into workflows: docs, slides, spreadsheets, dashboards
Hands-on (15 min): 🔧 Platform Adaptation: Take the same prompt idea and test/adapt it across two tools (e.g., ChatGPT vs. Gemini).
Module 5: Applied Prompt Engineering – Build Without Code
Objective: Use prompting to create lightweight tools and automate workflows.
- Vibe Coding mindset: logic-first, syntax-light
- Prompts as interface: simulate calculators, forms, assistants
- Examples: resume helper, writing assistant, lesson plan generator
- Layering prompts for multi-step tasks (e.g., ask > check > revise)
Hands-on (15 min): 🔧 Prompt Tool Prototype: Use prompts to simulate a no-code tool (e.g., habit builder, vocabulary assistant) in ChatGPT.
Module 6: Showcase, Feedback & Next Steps
Objective: Share your work, get feedback, and plan how to continue developing as a prompt engineer.
- Showcase: Present your favorite prompt or micro-tool
- Group feedback and peer learning
- Where to go next: building a prompt portfolio
- Responsible prompting: avoiding hallucinations, bias, misuse
- Prompt Engineering career paths & certifications
Hands-on (15 min): 🔧 Your Prompt Portfolio: Document your top 2 prompts from the course with title, use case, and output sample.
Ready to Get Started?
Join our training and master prompt engineering and vibe coding basics.
for a limited time
Your Instructors
Meet Your Instructors
John Godel is the President and CEO of AlpineGate AI Technologies Inc., where he leads the development of advanced artificial intelligence solutions. Under his leadership, the company has introduced innovative products like AGImageAI, which enhances image recognition capabilities across multiple industries such as e-commerce, healthcare, and security, and AlbertAGPT, a state-of-the-art natural language processing and AI interpretability tool. Godel's vision has positioned AlpineGate AI at the forefront of AI technology, focusing on making AI systems more transparent, understandable, and reliable. His work ensures that AI models can be effectively utilized while maintaining ethical standards and operational transparency.
35k+
Students taught
28k+
Students placed
30+
Years of experience
Mahesh Chand is an architect based in Philadelphia, Pennsylvania. He is the Microsoft Regional Director, founder of C# Corner, and CEO of Mindcracker Inc. At Mindcracker Inc., he advises technical teams on building better software through architecture, design, usability, innovation, and mentoring. His expertise includes C#/.NET, UWP, Mixed-Reality, AI/ML, Cloud, Startups, and Innovation. As the founder of C# Corner, he enjoys developing new features to help developers improve their coding skills. He loves philosophy, cognitive studies, community work, public speaking, writing, basketball, and the Philadelphia Eagles.
25k+
Students taught
24k+
Students placed
25+
Years of experience
Frequently Asked Questions
Is this training for me?
Yes, if you're curious about AI! It's perfect for beginners, students, and professionals who want to learn how to use AI tools effectively without any coding.
Do I need to know how to code?
Not at all! This course is designed for non-coders and focuses on using AI tools without writing any code.
What will I be able to do after this?
You'll be able to build your own simple AI tools and use AI to help with writing, studying, and creative projects.
What if I miss a class?
No problem. Every class is recorded, and you'll get lifetime access to all recordings to watch anytime.
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