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Agentic AI - No Coding

✔️ Introduction to Agentic AI ✔️ AI vs Automation vs Agents ✔️ Types of AI Agents ✔️ Basics of LLMs ✔️ Working of ChatGPT ✔️ Prompt Engineering Fundamentals ✔️ Advanced Prompting Techniques ✔️ Role-based & Contextual Prompts ✔️ No-Code AI Tools Overview ✔️ Automation using Zapier ✔️ Workflows in Make ✔️ Visual Agent Building with Flowise ✔️ Multi-step AI Agent Workflows ✔️ AI Agents with Memory ✔️ AI + Google Sheets / Data Handling ✔️ API & Webhooks (No Coding) ✔️ AI Chatbots (WhatsApp / Website) ✔️ AI for Marketing Automation ✔️ AI Monetization Strategies ✔️ Final Project: AI Automation System

Lokesh Jammugani 90 Days 0 enrolled Telugu / English
💼 Job Opportunities
✔️ AI Automation Specialist ✔️ No-Code AI Developer ✔️ AI Workflow Engineer ✔️ AI Chatbot Developer ✔️ AI Integration Specialist
📚 Curriculum (6 Units)
Unit 1: AI & LLM Foundations — How AI Really Works 20 topics
What is AI? History & The 2022 Revolution
From Turing test to deep learning to ChatGPT. Narrow AI vs General AI. What changed in 2022 that made AI accessible to everyone. Why now is the best time.
How LLMs Work — No Coding Needed
Tokens explained visually. How the transformer model predicts next tokens. Why LLMs can "reason." Training vs inference. What the billions of parameters mean.
AI vs Automation vs Agents — Key Differences
Rule-based automation (Zapier). ML/AI models (prediction). AI Agents (autonomous multi-step goal completion). When each is the right tool.
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Types of AI Agents
Reactive agents. Deliberative agents. Tool-using agents (function calling). Multi-agent systems. Autonomous agents vs copilots.
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ChatGPT Deep Dive — Features & Settings
GPT-4o capabilities. System prompts in custom GPTs. Memory feature. DALL-E image generation. Code Interpreter (Advanced Data Analysis). File uploads. Plugins.
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Claude AI Deep Dive — Claude vs ChatGPT
Claude Sonnet, Haiku, Opus. Claude Projects for persistent context. Artifacts feature. Comparing with ChatGPT for different tasks. When to use Claude.
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Gemini, Grok & Other Models
Google Gemini (1.5 Pro, Ultra). Grok 2 from xAI. Meta LLaMA (open source). Mistral. Perplexity AI. How to pick the right model for the task.
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Context Window — Why It Matters
What context window means in practice. How more context = better results. Managing long conversations. What happens when context is exceeded.
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AI Hallucination — Understanding & Prevention
Why AI makes up facts. Grounding techniques: RAG, web search. How to verify AI outputs. Tools that reduce hallucination: Perplexity, Bing AI.
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Temperature, Top-P & Other Settings
Temperature: 0=deterministic, 2=creative. Top-P (nucleus sampling). Max tokens. Frequency penalty. When to change these settings for different tasks.
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AI Image Generation — Midjourney, DALL-E, Stable Diffusion
How diffusion models work visually. Midjourney prompting. DALL-E 3 in ChatGPT. Adobe Firefly. Stable Diffusion (open source). Use cases for business.
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AI Video Generation — Runway, Sora & Kling
Text-to-video with Runway Gen-3. OpenAI Sora overview. Kling AI. Pika Labs. Creating marketing videos with AI. Practical demo.
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AI Audio — ElevenLabs, Whisper & Suno
ElevenLabs for voice cloning and text-to-speech. OpenAI Whisper for transcription. Suno for AI music generation. Podcast production with AI.
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Multimodal AI — Vision, Audio & Text Together
GPT-4o vision capabilities. Analyzing images, PDFs, charts with AI. Claude vision. Gemini multimodal. Real use cases: invoice processing, image analysis.
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AI Search — Perplexity, Bing AI & Google AI Overviews
Perplexity AI for cited research. Bing Copilot. Google AI Overviews. How to use AI search for market research, competitor analysis.
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Open Source AI — Ollama & Running Models Locally
Ollama for local LLMs on your laptop. Installing LLaMA 3, Mistral, Phi-3 locally. Privacy benefits. Combining local + cloud AI.
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AI Safety & Responsible Use
Understanding AI biases. Deepfakes and misuse. Data privacy with AI tools. GDPR and AI. Responsible AI checklist for businesses.
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AI Industry Landscape 2025
Top AI companies: OpenAI, Anthropic, Google, Meta, Mistral. Funding landscape. Which AI companies are hiring. Future of AI in next 2 years.
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Setting Up Your AI Workspace
Organizing ChatGPT and Claude conversations. API keys setup for automation. Browser extensions: Merlin, Superpower ChatGPT. AI productivity stack.
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Practice Exercise — Unit 1
Use 5 different AI tools (ChatGPT, Claude, Gemini, Perplexity, Midjourney) for the same business task. Compare outputs, evaluate quality, write a recommendation report.
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Unit 1 Exam: AI & LLM Foundations
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Unit 2: Prompt Engineering — From Beginner to Expert 20 topics
What is Prompt Engineering & Why It Is a Real Skill
Why same AI gives different results with different prompts. The job market for prompt engineers. Prompt engineering as a career skill across all roles.
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Zero-Shot Prompting
Ask AI to complete a task without any examples. When it works well. Limitations. Writing clear, specific instructions.
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One-Shot & Few-Shot Prompting
Provide 1-3 examples to guide AI output format and style. Template approach. Practical: writing social media posts in your brand voice.
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Role Prompting — Persona Assignment
You are an expert [role]. How role prompts change tone, depth, and focus. Best roles for different tasks. Combining role + context + task.
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Chain-of-Thought Prompting
"Think step by step" instruction. Why it dramatically improves reasoning tasks. Zero-shot CoT. Applied to: math problems, analysis, planning.
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Tree-of-Thought Prompting
Exploring multiple reasoning paths. When to use ToT vs CoT. Complex problem solving with branching thoughts. Manual ToT in ChatGPT.
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Self-Consistency & Verification Prompts
Ask AI to check its own work. "Review the above answer and correct any errors." Hallucination reduction. Confidence scoring.
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ReAct Prompting — Reason + Act
The Reason + Act framework for agents. How AI reasons about what tool to use next. Foundation of all AI agents.
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Structured Output Prompting
Getting JSON, tables, bullet lists, markdown from AI. Template injection. "Respond ONLY in JSON with these fields." Parsing AI output.
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Context Injection & Memory Prompting
Providing context: "Here is background information: [...]". How to maintain context across long tasks. Chunking large documents for AI.
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Prompt Templates for Business Tasks
Templates for: email writing, meeting summaries, SOPs, job descriptions, marketing copy, proposals, reports. Reusable prompt library.
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Negative Prompting
Tell AI what NOT to do. Avoiding unwanted outputs. "Do not use jargon." "Do not include disclaimers." Combining positive and negative.
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Iterative Prompting — Refining Outputs
Multi-turn prompting strategy. Start broad, refine iteratively. "Make it more formal." "Shorten to 100 words." "Add a call to action."
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Prompting for Different Use Cases
Code generation prompts. Data analysis prompts. Creative writing prompts. Research prompts. Customer service prompts. Legal/HR document prompts.
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System Prompts & Custom GPTs
What system prompts do. Building a Custom GPT in ChatGPT. Claude Projects system prompts. Use cases: company chatbot, personal assistant.
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Claude Projects — Advanced Context Management
Setting up a Claude Project. Adding files and knowledge base. Persistent memory across conversations. Team collaboration on Projects.
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Prompt Security — Injection & Jailbreaks
What is prompt injection. How malicious prompts can hijack AI agents. Defending your AI system prompts. Safe deployment practices.
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Building a Personal Prompt Library
Organizing prompts in Notion/Obsidian. Version control for prompts. Categorizing by: role, task type, output format. Sharing with team.
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AI for Content Creation — Full Prompt Workflow
End-to-end content: blog post ideation → outline → draft → edit → SEO optimization → social media repurpose. All with prompt templates.
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Practice Exercise — Unit 2
Build a 20-prompt library for your specific business or career domain. Test each prompt, rate quality, refine to final version. Document your best prompts.
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Unit 2 Exam: Prompt Engineering
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Unit 3: No-Code Automation — Zapier, Make & n8n 20 topics
What is Workflow Automation — Business Use Cases
Definition and ROI of automation. What can be automated: lead capture, email responses, data entry, reporting, notifications. Real examples.
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Zapier Introduction & Interface
Zaps: trigger + action concept. Zapier interface walkthrough. Free vs paid tiers. Connecting first two apps: Gmail → Google Sheets.
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Zapier — Multi-Step Workflows
Adding multiple actions to one Zap. Filters (only continue if condition met). Formatter step for data transformation. Delay step.
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Zapier — AI Actions
Zapier AI: generate text in a Zap. ChatGPT action in Zapier. Auto-summarize emails. Auto-categorize support tickets. AI-powered lead scoring.
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Zapier — 10 Business Automation Templates
(1) Lead from Facebook Ads → CRM + email. (2) New Stripe payment → invoice + Slack alert. (3) Form submission → Notion database. (4) New YouTube video → social posts. (5) and 5 more.
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Make (Integromat) Introduction
Make vs Zapier: when to choose each. Scenarios, modules, connections. Visual workflow builder. Free tier limits. Pricing comparison.
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Make — Advanced Features
Routers (branching logic). Iterators for arrays. Aggregators. Error handling (ignore/break/retry). Data stores. Webhooks in Make.
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Make — AI Modules & Templates
OpenAI module in Make. Claude module. Image generation workflow. Auto-blog post from RSS feed. Meeting notes → action items → Notion.
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n8n — Self-Hosted Automation
What is n8n and why self-host. n8n Cloud vs local. Nodes and connections. Credentials management. Comparing with Zapier and Make.
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n8n — AI Nodes & Agents
n8n AI Agent node. LangChain nodes in n8n. AI memory. Vector store node. Build: AI customer support agent in n8n.
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Webhooks — The Glue of Automation
What is a webhook. Incoming webhooks (receive data). Outgoing webhooks (send data). Testing with webhook.site. Zapier/Make/n8n webhook triggers.
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APIs Without Coding — Using HTTP Modules
What is an API (visual explanation). HTTP request in Make/n8n/Zapier. GET vs POST. JSON parsing. Headers and auth tokens. Calling any API.
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Google Workspace Automation
Auto-create Google Docs from templates. Google Sheets as a database. Gmail filters + Zapier. Google Calendar scheduling automation.
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Notion & Airtable Automation
Notion as a CRM/project tracker. Airtable as a database. Automating data entry from forms. Airtable AI fields. Notion AI summaries.
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CRM Automation — HubSpot & Pipedrive
Auto-create contacts from form fills. Lead scoring automation. Follow-up email sequences. Deal stage triggers. HubSpot free CRM setup.
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E-commerce Automation — Shopify & WooCommerce
Order confirmation workflows. Abandoned cart recovery. Inventory alert automation. Review request emails. Customer segmentation triggers.
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Social Media Automation
Buffer and Hootsuite for scheduling. Auto-post from RSS. Repurpose YouTube to Twitter thread + LinkedIn + Instagram. Social listening alerts.
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Automation Error Handling & Monitoring
Setting up error notifications. Testing automations before going live. Logs and run history. Zapier task history. Versioning automations.
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Building a Lead Generation Automation System
Full system: Landing page form → Zapier → HubSpot CRM → personalized welcome email (AI-written) → Slack notification → Google Sheet log.
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Practice Exercise — Unit 3
Build 3 complete automation workflows: (1) Lead capture to CRM + AI email, (2) Content repurposing pipeline, (3) Automated weekly report. Document each workflow.
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Unit 3 Exam: No-Code Automation
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Unit 4: Building AI Agents — Flowise, Botpress & Tools 20 topics
What Are AI Agents — Deep Dive
Agent = LLM + Tools + Memory + Planning. How agents differ from chatbots. ReAct loop: Reason → Act → Observe → Repeat. Real business agents.
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Flowise Introduction — Visual Agent Builder
Install Flowise (cloud or local). Interface walkthrough. Chatflows vs Agentflows. Connecting LLM models. First chatbot in 10 minutes.
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Flowise — Building a Basic Chatbot
ConversationChain with memory. System prompt injection. Connecting to OpenAI GPT-4o and Claude. Testing and iterating responses.
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Flowise — Tools & Function Calling
Adding tools: web search (Serper), calculator, code interpreter. Tool-calling agent that decides which tool to use. Custom tool creation.
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Flowise — Document Q&A Agent (RAG)
PDF loader. Text splitter. OpenAI embeddings. FAISS or Pinecone vector store. Retrieval chain. Build a company knowledge base chatbot.
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Flowise — Memory Types
BufferMemory (all history). BufferWindowMemory (last N messages). SummaryMemory (compressed). Redis memory for persistent agents.
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Flowise — Multi-Agent Systems
Supervisor + worker agent pattern. Agent handoff. Sequential chains. Parallel agents. Real use case: research + write + review agents.
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Flowise — Connecting to External APIs
HTTP Request tool in Flowise. Connect agent to CRM, weather, stock price, database. OpenAPI spec tool for any REST API.
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Botpress — Conversational AI Platform
Botpress interface, flows, nodes, cards. Intents and entities. AI-powered conversations. Conditions and transitions.
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Botpress — WhatsApp & Web Integration
Connect Botpress to WhatsApp Business API (via Meta). Embed on website. Telegram integration. Testing conversation flows.
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Voiceflow — Voice & Chat Agents
Voiceflow for Alexa skills, web chat, phone bots. Building conversation flows visually. Integrating with APIs. Variables and conditions.
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Vector Databases — Pinecone, Chroma & Weaviate
Why vector databases for AI. Embeddings explained visually. Pinecone (cloud). Chroma (local). Upsert, query, delete vectors. No-code setup.
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Building a Customer Support AI Agent
Full agent: FAQ knowledge base (PDF) → vector store → retrieval agent → fallback to human. Deploy on website. Test with real queries.
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Building an AI Research Agent
Agent with web search + Arxiv + Wikipedia tools. Multi-step research: find → summarize → compare → report. Flowise implementation.
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Building an AI Sales Agent
Lead qualification agent. Product knowledge base. Objection handling. Handoff to human when ready to buy. CRM integration via webhook.
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AI Agent Memory & Personalization
Long-term memory with vector stores. User profile personalization. Remembering preferences across sessions. Privacy considerations.
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Monitoring & Improving AI Agents
LangSmith for tracing agent runs. Evaluating response quality. Feedback loops. A/B testing different prompts. Improving over time.
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AgentOps & LLM Observability
AgentOps for agent monitoring. Cost tracking per conversation. Latency monitoring. Failure analysis. Production readiness checklist.
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Deploying AI Agents — Options & Costs
Flowise on Railway/Render. API endpoint for agents. Embedding in websites. Sharing via link. Cost estimation for production agents.
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Practice Project — Build a Complete AI Agent
Build a Business AI Assistant: (1) Customer FAQ from uploaded docs, (2) Lead capture form integration, (3) WhatsApp/website deployment, (4) Monitoring dashboard.
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Unit 4 Exam: Building AI Agents
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Unit 5: AI for Business — Chatbots, Marketing & Sales 18 topics
AI Chatbots for WhatsApp Business
WhatsApp Business API setup (Meta). Connecting via Twilio/360Dialog. Automated responses, broadcast lists, AI integration. Real business case.
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AI Chatbots for Websites — Tidio, Intercom & Chatbase
Tidio setup and AI replies. Chatbase: train on your website + PDFs. Intercom Fin AI agent. Crisp live chat + AI. Cost comparison.
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AI for Content Marketing — Full Workflow
Blog: ideation (Perplexity) → SEO research (Semrush) → outline (Claude) → draft (ChatGPT) → edit (Grammarly) → publish (WordPress auto). Video: script → voiceover → edit workflow.
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AI for Social Media Marketing
Hootsuite AI for caption generation. Buffer AI assistant. Predis.ai for social posts from text. FeedHive for viral content repurposing. Scheduling automation.
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AI for SEO — Surfer, Frase & Alli AI
Surfer SEO for content optimization. Frase for topic research. Alli AI for on-page SEO automation. AI meta description and title generation.
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AI for Email Marketing — Copy & Automation
Mailchimp AI for subject lines. Instantly.ai for cold email sequences. Lavender for email personalization. Clay for prospect enrichment.
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AI for Sales & Lead Generation
Apollo.io for lead finding. Clay for data enrichment + AI personalization. Instantly for outreach. HubSpot AI for CRM insights. Cold LinkedIn outreach with AI.
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AI for HR & Recruitment
JD generation with ChatGPT. Resume screening with AI. Interview question generation. Onboarding document creation. HR chatbot for employee FAQs.
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AI for Finance & Accounting
Dext/AutoEntry for receipt processing. AI categorization in Zoho Books. Financial report narratives with AI. Cash flow forecasting with AI.
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AI for Operations & Project Management
ClickUp AI for task summaries and action items. Notion AI for SOPs. Asana AI for project insights. Meeting transcription with Otter.ai/Fireflies.
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AI for Customer Research
Interviews.ai for user interview analysis. Insight7 for qualitative data. Dovetail for research synthesis. Survey analysis with ChatGPT.
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AI for Legal & Compliance (Basics)
Contract review with Claude (limitations). AI for Terms and Privacy policy drafts. NDAs and basic agreements. Limitations and when to use a lawyer.
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AI for Education & Training
Course creation with AI: outline → scripts → slides → quiz questions. Synthesia for AI video courses. AI tutoring bots. BytecodEd use case.
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Building an AI-Powered Marketing Agency
Service packages: AI content creation, chatbot setup, automation consulting. Tools stack. Pricing models. Client onboarding workflow.
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Measuring ROI of AI Automation
How to measure time saved. Cost per task before/after. Revenue impact. Building a business case for AI investment. Reporting to stakeholders.
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AI Stack for Different Business Sizes
Solopreneur AI stack (free tools). SME AI stack (₹10k/month). Enterprise AI considerations. Avoiding tool sprawl.
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Staying Current in AI — Resources & Community
Following AI news: Hugging Face, The Rundown, TLDR AI. Twitter/X lists. Reddit communities. Discord servers. Building an AI learning habit.
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Practice Project — AI Business Transformation Plan
Choose a real business (your own or a case study). Identify 5 processes to automate. Build 3 automations. Calculate ROI. Present transformation roadmap.
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Unit 5 Exam: AI for Business
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Unit 6: Monetization, Projects & Career as AI Specialist 16 topics
AI Monetization Models — 7 Ways to Earn
(1) Freelance automation expert, (2) AI agency, (3) Chatbot-as-a-service, (4) Prompt packs/templates, (5) Info product/course, (6) No-code SaaS, (7) Consulting. Real income examples.
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Freelancing as an AI Automation Specialist
Upwork and Fiverr profiles for AI automation. Proposal writing. Pricing: ₹5,000–50,000 per automation. Portfolio building. First 5 clients.
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Starting an AI Agency — Step by Step
Niche selection (marketing/HR/e-commerce). Service packaging. Client acquisition. Delivering projects. Hiring and scaling. Case study.
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Building a Chatbot SaaS Business
White-label Flowise or Botpress. Subscription model. Client dashboard. Support and maintenance. Pricing: ₹3,000–20,000/month per client.
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Selling Prompt Packs & AI Templates
Gumroad and Lemon Squeezy for digital products. Pricing prompt packs. Marketing on Twitter/LinkedIn. Building an email list. Passive income.
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Building a Micro-SaaS with No-Code AI
Bubble or Webflow + OpenAI API. Problem identification. MVP in 2 weeks. Getting first paying customers. Scaling. Examples: AI resume writer, AI ad copy generator.
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Upwork Profile Optimization for AI Jobs
Headline and overview for AI automation. Skills to list. Portfolio samples. Getting first review. JSS score improvement strategy.
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LinkedIn Personal Brand for AI Professionals
Content strategy: share AI tips, automation demos, case studies. Hashtags. Engagement tactics. DM outreach for clients. Growing to 5K+ followers.
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Portfolio for AI Specialists
What to include: automation demos (Loom videos), chatbot links, case studies. GitHub for code (if any). Personal website with Framer/Webflow.
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Job Roles in AI — Beyond Developer
AI Product Manager. AI Trainer/RLHF Annotator. Prompt Engineer. AI Operations Manager. AI Consultant. AI Content Strategist. Job descriptions and requirements.
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Interviews for AI Specialist Roles
Common questions: "Describe an automation you built." "How would you implement AI for X?" Demo-based interviews. Portfolio walkthrough.
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Keeping Up with AI — Learning System
Building a daily 30-min AI learning habit. Newsletters: The Rundown, TLDR AI, Ben Benedikt. YouTube channels. Testing new tools weekly.
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AI Certifications Worth Getting
Google AI Essentials. Microsoft AI-900. DeepLearning.AI Prompt Engineering. Zapier Certification. Which ones employers actually value.
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Final Project — AI Automation Business Package
Build your complete AI business offering: (1) Service menu, (2) 3 working automations, (3) Demo chatbot, (4) Portfolio page, (5) Pricing page, (6) Client proposal template.
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Success Stories — AI Specialists from India
Real case studies of Indians earning from AI automation skills. Income ranges. How they started. Advice for beginners.
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Capstone Project — AI Automation System
Build a complete end-to-end AI automation system for a real or imaginary business. Includes: AI agent, automation workflows, chatbot, measurement, presentation.
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Unit 6 Exam: Monetization & Career
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Agentic AI  - No Coding
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Duration 90 Days
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Trainer Lokesh Jammugani
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Language Telugu / English
Certificate On completion
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Lokesh Jammugani
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