n8n Masterclass: Build a GenAI News Factory

Name: n8n Masterclass: Build a GenAI News Factory
Rating: 4.0 (6 reviews)

n8n & Generative AI: Build an OpenAI News Agency. Use Whisper & ElevenLabs to gift a personalized AI show in 60 minutes

Created byPooja Kataria, TechSckool By Vijay

Last updated 7/2026

English

English [Auto],

What you'll learn

Master Generative AI by building an autonomous AI Agent factory that hunts for real-time news and produces professional media content on total auto-pilot.
Learn to eliminate AI hallucinations by grounding your GenAI models in truth using tool-augmented API orchestration and RAG-lite retrieval techniques.
Architect multi-modal systems using Whisper transcription for AI ears and ElevenLabs neural synthesis to give your AI Agent a high-fidelity human voice.
Implement persistent cognitive memory and NLU using Google Sheets to store user personas for hyper-personalized, agent-led automated broadcasts.

Course content

5 sections • 18 lectures • 1h 52m total length

The Vision: Architecting Your Personal News Factory2:31
Initialize a "Media House" that uses AI logic to generate custom audio news for specific users.
Naming the Mission & Building the AI Brain2:59
Design an "Executive Producer" persona via System Prompts to govern identity and prevent hallucinations.
The News Engine: Fetching Real-Time Truth7:11
Connect your Agent to the global news grid using cURL for provider-agnostic, factual data retrieval.
Giving the Factory a Voice: Integrating Human-Like Speech7:34
Bridge the Agent's script output to ElevenLabs Voice IDs for expressive, human-like narration.
The Moment of Truth: Running Your First Pipeline2:30
Trigger the full autonomous flow to transform raw headlines into a produced MP3 news show.
Going Live: Connecting Your Factory to Telegram7:12
Finalize the build by connecting the production line to Telegram for real-world user interaction.

Generative AI for Developers: Before You Start This Section0:42
To keep this course aligned with today's technology, we've added this AI-focused section. These lessons show how Generative AI can enhance your productivity while reinforcing the importance of strong technical fundamentals. After completing this section, continue with the remaining course content to apply these concepts in practice.
Generative AI for Developers: What AI Can Already Build4:56
See generative AI write a real PowerShell script, a Python script, a GitHub Actions workflow, a Kubernetes manifest, and a Terraform config — live, on screen. Whether you're learning to code, script, or build cloud infrastructure with AI coding assistants like ChatGPT and Copilot, this lecture sets the baseline: here's exactly what AI can already do for you, so the rest of the course can show you what it still can't.
Why Your Automation Skills Still Matter With AI Coding Tools11:49
AI can write a script in seconds — so why keep learning to write one yourself? This lecture answers that honestly, with two live, real examples in PowerShell and Python where AI-generated code looks perfect and quietly isn't. Essential for anyone using an AI coding assistant for scripting, automation, or infrastructure work who wants to close the judgment gap AI can't close for you.
AI can write a script in seconds - so why keep learning to write one yourself?4:45
A real near-miss story, reproduced live: an AI-generated script almost leaks a live API key straight to a public GitHub repo — and how an automated guardrail catches it in seconds. A must-watch for anyone using generative AI for coding, DevOps, or cloud automation who wants to build securely, not just quickly.
AI Habits Every Developer Should Adopt Today5:39
Beyond writing code — five real, practical ways to use generative AI every day: fast upskilling on new tools, automated documentation, smarter troubleshooting with real context, and a head start on architecture diagrams. Straight from a working Generative AI Architect's own daily toolkit, not theory — the habits that actually save time on real scripting, DevOps, and cloud engineering work.

The Architecture of Memory: Implementing Persistent Cognitive Layers4:11
Transition from hard-coded logic to a Google Sheets database that acts as long-term memory.
The Onboarding Agent: Automating User Intent & Preference Extraction12:59
Deploy an NLU-driven agent to autonomously identify user languages and news interests.
The Text-Based Engine: Data Normalization for Structured Agent Memory11:41
Standardize raw user text into clean data profiles using cross-referenced configuration tools.
Multi-Modal Upgrades: Engineering Voice-to-Data Ingestion Bridges10:27
Enable the Agent to "hear" by integrating Whisper transcription for voice-based user onboarding.

Requirements

Basic Computer Literacy: No advanced coding knowledge is required; if you can navigate a browser, you can build this AI factory.
GenAI Tool Access: You will need free or trial accounts for OpenAI and ElevenLabs to power your AI Agent brain and voice.
Visual Automation Mindset: A willingness to learn logic-based workflows using tools like n8n or similar visual builders.
Weekend Warrior Spirit: This course is designed to take you from zero to a live Generative AI deployment in just one weekend.

Description

Architecting Autonomous AI Media Factories: A GenAI Masterclass

This comprehensive course empowers you to transcend basic prompting by engineering Autonomous AI Agents capable of operating a 24/7 Personalized Media Factory. You will move beyond static interactions into the realm of Agentic Workflows, where you architect systems that autonomously hunt for real-time data, reason through complex content, and perform via high-fidelity Neural Voice Synthesis.

By the end of this journey, you will have deployed a Multi-Modal AI Ecosystem that bridges the gap between raw web data and human-centric delivery.

Core Technical Competencies & Keywords:

Autonomous Agent Orchestration: Master System Prompt Engineering to define executive agent personas, ensuring strict adherence to style, tone, and logic while eliminating AI Hallucinations.
Tool-Augmented Generation (RAG-Lite): Learn to ground LLMs in reality by integrating live News APIs and cURL-based data fetching for verified, real-time content synthesis.
Multi-Modal Intelligence: Implement Speech-to-Text (Whisper) and Neural TTS (ElevenLabs) to create agents that can "hear" voice instructions and "speak" with human-like expression.
Persistent Agent Memory: Architect a Cognitive Command Center using Google Sheets as a database to store user-specific preferences, languages, and interaction history.
Automated Production Pipelines: Shift from reactive triggers to Proactive AI Scheduling, enabling your factory to deliver bespoke broadcasts on auto-pilot via Telegram integration.

Transform from an AI consumer into a GenAI Architect by building a scalable, memory-aware media empire powered by the latest in Natural Language Understanding (NLU) and Autonomous Automation.

Who this course is for:

Aspiring AI Architects: Individuals who want to move beyond simple chat prompts and build complex, autonomous Agentic systems.
Tech Enthusiasts: Anyone eager to learn how to bridge Multi-Modal inputs like voice and text into a single, cohesive AI pipeline.
Automation Explorers: Professionals wanting to understand Persistent Memory and Data Normalization within the AI ecosystem.
Developers & Curious Beginners: Those seeking a high-speed, 1-hour masterclass to deploy a functional AI Agent on Telegram.

n8n Masterclass: Build a GenAI News Factory

What you'll learn

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Course content

GenAI Agent Foundations: Building a Tool-Augmented Media Factory6 lectures • 30min

Course Documents1 lecture • 1min

Professional Skills in the AI Era5 lectures • 28min

Agentic Memory & Multi-Modal Intelligence4 lectures • 39min

Advanced Logic & Automation2 lectures • 15min

Requirements

Description

Who this course is for: