Goal: Understand how LLMs interpret prompts and generate responses.
– What is a prompt? Anatomy and structure
– Types of prompting: zero-shot, one-shot, few-shot
– Role-based and task-based prompting
– Common mistakes and how to fix them
– Hands-on: Create prompts for summarization, translation, and Q&A
Goal: Learn to control output style, format, and logic.
– Chain-of-thought prompting
– Output formatting: tables, JSON, bullet points
– Controlling tone and voice
– Iterative refinement and prompt tuning
– Hands-on: Build a prompt system for blog writing, code generation, or chatbot replies
Goal: Design reusable, scalable prompt architectures.
– Meta-prompting and recursive prompting
– Multi-agent prompting and role orchestration
– Context management and memory-aware prompting
– Prompt templates with dynamic variables
– Hands-on: Create a modular prompt engine for business automation
Goal: Learn how to connect prompts to real-world applications via APIs.
– Overview of popular LLM APIs (OpenAI, Claude, Cohere, Hugging Face)
– Authentication, rate limits, and pricing models
– Basic API calls: sending prompts, receiving responses
– Hands-on: Use Python or Postman to call an LLM API
Goal: Automate workflows and build intelligent tools.
– Structuring API payloads with prompt templates
– Handling long context and streaming responses
– Integrating with web apps, chatbots, and automation platforms
– Error handling and fallback logic
– Hands-on: Build a PDF automation tool or AI-powered landing page using LLM API
Goal: Turn your prompt + API builds into real products.
– Packaging prompt systems for reuse
– Securing endpoints and managing tokens
– Optimizing for latency, cost, and reliability
– Hands-on: Launch a digital product with AI-powered delivery and branding
Goal: Learn the basics of interacting with ChatGPT.
– What is ChatGPT and how it works
– Interface overview (web, mobile, integrations)
– Types of inputs ChatGPT understands
– Hands-on: Ask ChatGPT to summarize, translate, and brainstorm ideas
Goal: Learn how to craft effective prompts for better results.
– Role-based prompts (e.g., “Act as a designer…”)
– Task-based prompts (e.g., “Write a blog post…”)
– Chain-of-thought and step-by-step prompting
– Hands-on: Create prompt variations for different tones and formats
Goal: Use ChatGPT to streamline tasks and workflows.
– Email drafting, meeting notes, and task lists
– Data extraction and formatting (tables, bullet points, JSON)
– Hands-on: Build a daily workflow assistant using ChatGPT
Goal: Explore ChatGPT for content creation and branding.
– Writing blogs, ads, product descriptions
– Generating ideas for design, names, and taglines
– Hands-on: Create a full content pack for a digital product launch
Goal: Connect ChatGPT to external tools and automate responses.
– Overview of ChatGPT API (OpenAI or Azure)
– Sending prompts via Python or Postman
– Integrating with platforms like WordPress, WhatsApp, or Airtable
– Hands-on: Build a webhook-triggered ChatGPT response system
Goal: Use ChatGPT responsibly and effectively.
– Understanding model limitations and hallucinations
– Ethical use and data privacy
– Tips for refining and iterating prompts
– Hands-on: Create a prompt troubleshooting checklist
Focus: Understand what it means to be an AI Builder and explore real-world use cases.
– Roles in the community: Prompt engineers, automation experts, creatives
– Showcase: AI tools transforming productivity, design, and business
– Activity: Create your AI Builder profile and share your first use case
Focus: Learn how to speak the language of AI with precision and creativity.
– Prompt types: Role-based, task-based, chain-of-thought
– Output control: Tone, format, style
– Activity: Build a prompt library for 5 different domains (e.g., marketing, automation, design)
Focus: Connect AI to real-world workflows using no-code and code-based tools.
– Platforms: Zapier, Make, Python, Airtable, Voiceflow
– Automation: Email replies, PDF edits, lead capture
– Activity: Build an AI-powered workflow for a digital product funnel
Focus: Use AI to design, write, and visually express your brand.
– Visual prompting: Midjourney, DALL·E, Leonardo AI
– Copywriting: Sales pages, email sequences, ad creatives
– Activity: Create a full brand kit using AI (logo, tagline, visuals, copy)
Focus: Turn your AI tools into products, services, and scalable systems.
– Productization: Templates, prompt packs, automation kits
– Monetization: Licensing, affiliate funnels, secure delivery
– Activity: Launch your first AI-powered product with payment and delivery automation
Focus: Build in public, collaborate with peers, and grow your impact.
– Community challenges and demo days
– Feedback loops and iteration
– Activity: Join a team project or host a live showcase of your build
Focus: Understand what “automate everything” really means.
– What qualifies as automatable?
– AI vs. rule-based automation
– Mapping workflows: from manual to intelligent
– Activity: Audit your daily tasks and identify 5 automation candidates
Focus: Use LLMs to make decisions, generate content, and structure outputs.
– Role-based and task-based prompting
– Chain-of-thought and recursive logic
– Output formatting: JSON, tables, bullet points
– Activity: Build a prompt system for auto-replies, summaries, or branded content
Focus: Connect AI to real-world workflows using no-code platforms.
– Tools: Zapier, Make, Airtable, Voiceflow
– Trigger → Action → AI response flow
– Activity: Automate lead capture, email replies, or form processing
Focus: Use Python to build custom AI automation scripts.
– Calling LLM APIs (OpenAI, Claude, etc.)
– Automating PDF edits, file handling, and data extraction
– Webhooks, scheduling, and batch processing
– Activity: Build a script to automate branding updates in PDFs
Focus: Integrate AI with external services for end-to-end automation.
– API authentication and payload design
– Connecting ChatGPT to payment gateways, CRMs, and databases
– Error handling and fallback logic
– Activity: Automate product delivery after payment approval using Cashfree + ChatGPT
Focus: Launch and refine your AI automation systems.
– Hosting options: cloud functions, local scripts, dashboards
– Monitoring performance and accuracy
– Cost optimization and scaling strategies
– Activity: Deploy a full AI automation pipeline with logging and alerts
– Multi-agent AI workflows
– Automating marketing funnels and WhatsApp outreach
– Ethical automation: transparency, consent, and safety
Focus: Clarify what “customization” means for your workflow or business.
– Static vs. dynamic customization
– Use case mapping: branding, automation, support, education
– Activity: Create a customization blueprint for your AI assistant or tool
Focus: Use advanced prompt engineering to control tone, style, and structure.
– Role-based and persona-driven prompting
– Output formatting: JSON, tables, branded layouts
– Style control: tone, vocabulary, voice
– Activity: Build a prompt system that reflects your brand identity
Focus: Embed AI into your existing tools and processes.
– Connecting AI to platforms (WordPress, Airtable, WhatsApp, etc.)
– Trigger-based automation with custom prompts
– Activity: Customize an AI workflow for lead generation, product delivery, or support
Focus: Use LLM APIs to build tailored AI applications.
– Structuring API calls with dynamic inputs
– Personalizing responses based on user data or context
– Activity: Build a Python script that customizes AI replies based on user profile or business logic
Focus: Align AI-generated content with your brand visuals and tone.
– Prompting for visual tools (Midjourney, DALL·E)
– Logo, certificate, and document generation
– Activity: Create a branded content pack using AI (images + copy)
Focus: Launch your customized AI system and refine it for performance.
– Hosting options: local, cloud, embedded
– Feedback loops and iterative improvement
– Activity: Deploy a customized AI assistant or automation tool and gather user feedback
– Multi-user customization: tailoring AI for teams or clients
– Ethical personalization: avoiding bias and respecting privacy
– Customizing AI for education, coaching, or community building
– What is OpenAI and why it matters
– Overview of GPT, Codex, DALL·E, Whisper, and Sora
– Free vs. paid access: ChatGPT tiers and API subscriptions
– Activity: Explore ChatGPT and DALL·E interfaces
Focus: Learn how to interact with ChatGPT for productivity and creativity.
– Prompt types: role-based, task-based, chain-of-thought
– Controlling tone, format, and output style
– Use cases: writing, summarizing, brainstorming, coding
– Activity: Create a prompt pack for business, education, or branding
Focus: Generate images using text prompts for branding and design.
– Prompting for style, composition, and modifiers
– Use cases: logos, product mockups, social media visuals
– Activity: Create a visual identity kit using AI-generated images
Focus: Convert speech to text and automate transcription workflows.
– How Whisper works and where to use it
– Use cases: podcast transcription, meeting notes, accessibility
– Activity: Transcribe a short audio clip and format it for publishing
Focus: Use AI to write, debug, and explain code.
– Codex vs. GPT for developers
– Use cases: Python scripting, HTML/CSS generation, API calls
– Activity: Build a simple automation script using GPT-generated code
Focus: Connect AI tools to apps, websites, and workflows.
– API authentication and structure
– Sending prompts and handling responses
– Use cases: chatbots, automation, product delivery
– Activity: Build a Python or no-code workflow using OpenAI API
Focus: Apply AI tools responsibly and strategically.
– AI in business, education, marketing, and development
– Ethical use: bias, transparency, and data privacy
– Activity: Design an AI-powered solution for a real-world challenge
– Multi-user customization: tailoring AI for teams or clients
– Ethical personalization: avoiding bias and respecting privacy
– Customizing AI for education, coaching, or community building
Master AI with ChatGPT
AI Role Monthly Income Estimates (India)
1. AI Engineer
– Entry-level (0–2 yrs): ₹40,000 – ₹60,000/month
– Mid-level (3–5 yrs): ₹80,000 – ₹1,20,000/month
– Senior (5+ yrs): ₹2,00,000 – ₹4,00,000/month
2. Prompt Engineer / AI Educator
– Freelance / Creator: ₹50,000 – ₹2,00,000+/month
3. Automation Consultant
– Project-based: ₹75,000 – ₹2,50,000+/month
4. Digital Product Seller
– Passive income: ₹30,000 – ₹3,00,000+/month
5. AI Content Creator (YouTube, Courses)
– Variable: ₹20,000 – ₹5,00,000+/month
In these role need knowledge not certificate ,don’t miss opportunity ,seriously
worth of content many LACK
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