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Generative AI Track

Prompt
Engineering

4.8 (1,230 reviews)

Learn to talk to AI the way professionals do: clearly, systematically, and with results you can measure. Write structured prompts with the 5-Part Prompt Frame, use few-shot examples, step-by-step reasoning and prompt chaining, apply prompting to marketing, data, coding, research and study tasks, build a custom AI assistant, and create a short AI video reel. About 75% of every week is hands-on, and you finish with a personal Prompt Playbook, a Prompt Journal of tested experiments and a capstone mini-campaign.

Created by Avanteia
12,580 Total Enrolled
02 Oct 2026 Last Updated
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Prompt engineering course in Goa โ€“ practical prompting, AI assistants and AI video reels at Avanteia Mapusa
1 Month Duration
Certificate On Completion
1 Hr / Day Monday to Saturday
4 Modules Syllabus
1 Month Duration
24 Hours 24 Sessions ยท 1 Capstone
English Language

Overview

Prompt engineering is the skill of giving AI systems the right instructions, context and examples so they return useful, accurate and reliable output. This course needs no coding background and is open to students from any stream and early-career professionals. Every session follows the same rhythm: a short concept briefing, a live demo, and a prompt lab where you write, test and improve real prompts on real tasks. You start by learning how large language models work and how to structure a prompt with the 5-Part Prompt Frame (Role, Context, Task, Format, Constraints). You then add core techniques such as few-shot examples, chain-of-thought reasoning, structured outputs, prompt chaining and self-critique, apply them to content, data, coding, research and image work, and finish by building a custom AI assistant and a 30 to 45 second AI video reel. Every session ends with a Prompt Journal entry, and every output is checked before it is trusted.

Prompting 5-Part Frame Few-Shot & CoT Prompt Chaining Structured Output AI Assistants AI Video Responsible AI

Learning Outcome

Write clear, tested prompts, choose the right technique for each task, build a working AI assistant and a short AI video, and use AI responsibly: fact-checked, with private data protected and AI use disclosed.

Syllabus

Click any module to expand and view topics, hands-on labs and tools used.

  • How LLMs work for prompters: tokens, context window, temperature, training vs prompting, and why models hallucinate
  • Anatomy of a prompt: the 5-Part Frame (Role, Context, Task, Format, Constraints)
  • Clarity and specificity: precise instructions, delimiters and XML-style tags, positive vs negative instructions, length control
  • Zero-shot, one-shot and few-shot prompting: examples as instructions, choosing good examples, label consistency
  • Iteration and prompt debugging: common failure modes (vague, overloaded, conflicting), changing one variable at a time, versioning
  • Prompt Journal: record the goal, prompt versions, output quality and the lesson from every session
Hands-on Lab
Same Prompt at Low & High Temperature on 3 AI Tools Count Tokens with a Tokenizer Rewrite 5 Vague Prompts into Framed Prompts Reusable Email-Assistant Prompt Few-Shot Hot / Warm / Cold Enquiry Classifier Debug 5 Broken Prompts (v1 to v3) Week 1 Lab: Prompt Playbook v1 (10 Templates)
Tools Used
Claude ChatGPT Gemini / Google AI Studio Online Tokenizer Prompt Journal
  • Roles, personas, tone and style: when roles help, audience adaptation, style transfer and brand voice
  • Reasoning and chain-of-thought: step-by-step prompting, zero-shot CoT, when it helps or hurts, reasoning models
  • Structured outputs: JSON, tables, Markdown, CSV, XML tags and simple schemas
  • Prompt chaining and task decomposition: breaking big tasks into steps and passing output between prompts
  • Self-critique and verification: reflect and revise, "say if unsure", requesting sources, fact-check prompts and grounding
  • Hallucinations: triggering a risky answer, catching it and correcting it
Hands-on Lab
Explain GST to 3 Audiences with Persona Prompts Rewrite a Brand Message in 3 Voices Solve 5 Problems With and Without Step-by-Step Prompting Extract 10 Job Posts or Invoices into JSON / CSV 4-Step Blog Chain: Research, Outline, Draft, Edit Catch Hallucinations with Verification Prompts Week 2 Lab: Reasoning & Chaining Challenge
Tools Used
Claude ChatGPT Gemini Google Sheets / Excel Prompt Journal
  • Content and marketing prompts: creative briefs, brand voice, SEO keywords, content calendars and ad variants
  • Data, spreadsheets and business analysis: describing data to AI, formula generation, trend summaries and insight notes
  • Coding and automation prompts: specifying language, inputs and outputs, debugging, explain-code, SQL and regex (non-coders follow an Excel formulas / Apps Script track)
  • Research, summaries and study prompts: long-document summaries, comparison tables, flashcards and citation caution
  • Multimodal and image prompting: subject, style, composition and lighting, image input analysis, iteration and copyright awareness
  • Domain tracks: Marketing, Commerce / Finance, IT / Coding, or Education / Career
Hands-on Lab
7-Day Social Calendar, 3 Ad Variants & Blog Outline Sales Sheet Formulas, Pivot Ideas & Insight Note Generate & Debug a Python Script or SQL Query Summarise a 10-Page Report at 3 Levels, with a Quiz 3 Image Creatives and Chart / Screenshot Explanation Week 3 Lab: Domain Prompt Kit (8 Real-Task Prompts)
Tools Used
Claude ChatGPT Gemini Google Sheets / Excel Canva / Image Generator
  • System prompts and custom assistants: system vs user instructions, persistent behaviour, guardrails, Projects / Custom GPTs / Gems
  • Grounding, long documents and RAG basics: context stuffing, quoting sources, how retrieval works, chunking and "lost in the middle"
  • Tools, agents and workflows: tool use, the ReAct pattern, the function-calling idea and no-code automation
  • AI video prompting I: the video prompt formula (Subject, Action, Scene, Camera, Style, Audio), shot types, camera moves and one shot per prompt
  • AI video prompting II: image-to-video, keeping character and style consistent, voiceover and caption prompts, vertical reel format
  • Responsible use: fact-check outputs, do not share private data, and say when content is AI-made
Hands-on Lab
Custom Assistant (FAQ Bot or Study Buddy) with System Prompt & Knowledge File Answer Strictly from a Policy PDF, with Tricky Question Tests No-Code Workflow: Enquiry, AI Classifies & Drafts Reply, Result in a Sheet 30-Second Promo Script, 5-Shot Storyboard & 3 AI Clips Edit a 30โ€“45 Second Reel with AI Voiceover & Captions Capstone: AI Mini-Campaign Showcase
Tools Used
Claude Projects / Custom GPTs / Gems AI Video Tool (Veo, Runway, Kling or Pika) CapCut / Canva No-Code Automation Tool Google Sheets

What You Will Learn

Prompt Foundations

Understand how AI models work and write clear, structured prompts with the 5-Part Prompt Frame.

Core Techniques

Use few-shot examples, step-by-step reasoning, structured outputs, chaining and self-critique to get reliable results.

Prompts at Work

Apply prompting to content, data analysis, coding help, research and image tasks in your own career track.

Assistants & AI Video

Build a custom AI assistant, create a short AI video reel and use AI responsibly.

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