AI Agents and Workflow Automation Engineer

    shortbeginerBeginner 12 Weaks

    AI Agents and Workflow Automation Engineer

    Instructor: Rana M. Ajmal
    AI Agents & Workflow Automation

    What You Will Master: Key Course Outcomes

    By the end of this 12-week intensive program, you won’t just understand AI and automation theory—you will possess the job-ready technical skills to build, deploy, and monetize production-grade AI systems.

    1. Enterprise Automation Engineering

    • Master Visual Automation: Architect, debug, and scale enterprise workflows using Make.com and Zapier to eliminate manual business tasks.
    • Advanced n8n Workflow Design: Deploy, manage, and scale self-hosted n8n instances via Docker and VPS. Integrate complex REST APIs, JSON data transformations, webhooks, and OAuth2 security.

    2. Applied AI & LLM Integration

    • Production-Grade LLM Implementation: Programmatically integrate OpenAI, Gemini, and Claude APIs using advanced prompt engineering, system instructions, and structured outputs.
    • Vector Memory & RAG Architectures: Build custom Knowledge Systems using Retrieval-Augmented Generation (RAG) and vector databases to eliminate model hallucinations and ground AI in proprietary business data.

    3. Autonomous AI Agents & Voice Engineering

    • Multi-Agent Systems: Build autonomous AI agents with long-term memory, custom tool calling capabilities, and Model Context Protocol (MCP) execution.
    • Omnichannel AI Assistants: Deploy automated, voice, and text-based AI agents across WhatsApp Business API, Vapi, Retell, Chatbase, and Botpress.

    4. Web Scraping & Full-Stack AI Products

    • Automated Data Extraction: Extract, process, and structure dynamic web data using Firecrawl, Apify, and native social APIs (Meta Graph, LinkedIn, X, YouTube).
    • Full-Stack AI SaaS Development: Rapidly prototype and launch market-ready AI micro-SaaS applications combining Lovable (frontend), Supabase (database), and n8n (backend).

    5. Client Delivery & Career Execution

    • Monetizable Tech Stack Mastery: Audit business inefficiencies, select optimal software architectures, and package custom AI automations for high-ticket client delivery.
    • Portfolio & Career Launch: Build a production-ready portfolio showcasing real-world capstone projects, enabling you to launch an AI agency, freelance, or land high-paying AI engineering roles.

    Why Employers & Clients Hire Our Graduates

    Traditional developers know code, but lack automation speed. Traditional marketers know tools, but lack technical depth. This program turns you into a Full-Stack AI & Automation Engineer—the single most demanded technical role in today’s market.

    Technology Stack

    • Automation Platforms: Make.com · n8n · Zapier
    • AI & LLMs: OpenAI · Gemini · Claude · LLM APIs · Prompt Engineering · Structured Outputs
    • AI Engineering: RAG · Vector Stores · AI Agents · Multi-Agent Systems · Tool Calling · Memory · MCP
    • Business Automation: Google Workspace · Airtable · CRM · HTTP APIs · Webhooks
    • Data & Integration: REST APIs · JSON · Postman · OAuth2 · Apify · Firecrawl
    • AI Assistants & Channels: Chatbase · Botpress · WhatsApp Business Cloud API · Vapi · Retell
    • AI Product Development: Lovable · Supabase
    • Social Automation: Meta Graph API · LinkedIn · X · YouTube
    • Deployment: Docker · VPS · n8n Self-Hosting

    Program Philosophy

    Understand AI → Understand Automation → Master Make.com → Understand Zapier → Master n8n → Build AI Workflows → Build RAG Systems → Build AI Agents → Build Multi-Agent Systems → Automate Business Channels → Build AI Products → Deliver Client Projects → Launch Your Career

    Platform Positioning

    • Make.com: Primary visual automation foundation
    • n8n: Advanced AI automation & agent engineering platform
    • Zapier: Market awareness & platform comparison
    • AI APIs & RAG/Agents: Core intelligence & advanced capabilities
    • Lovable + n8n: AI product development

    Goal: Analyze business problems, select optimal architectures, engineer end-to-end automations, integrate AI, deploy securely, and deliver client-ready solutions.


    Graduation Portfolio

    By completing the program, students will have built and practiced across multiple real-world business domains.

    Core Portfolio Projects

    1. AI Email Triage & Auto-Draft System Productivity · n8n + LLM

    2. Automated Invoice / Document Processor Finance & Operations · n8n + OCR + AI

    3. Lead-Generation Scraper & Outreach Machine Sales & Agency Services · n8n + Apify/Firecrawl + AI

    4. Lead-to-CRM Pipeline Sales · n8n + Airtable/HubSpot

    5. Website Support Chatbot Customer Service · n8n + RAG + AI Agent

    6. Multi-Agent Content Engine Marketing · n8n Multi-Agent System

    7. Social-Media Automation Engine Social Media Marketing · n8n + Social APIs + AI Media Generation

    8. WhatsApp Business Assistant Local Business · WhatsApp Business Cloud API + n8n

    9. AI Voice Booking Agent Reception / Sales · Vapi/Retell

    10. AI Product MVP SaaS / Startup · Lovable + n8n

    11. Individual Capstone Project Student's chosen business domain, presented at Demo Day.


    Learning Progression

    Stage 1 — Understand

    • AI → LLMs → Prompting → APIs → Webhooks → JSON

    Stage 2 — Automate

    • Make.com → Visual Workflows → Integrations → APIs → AI Automation

    Stage 3 — Expand

    • Zapier → Platform Comparison → Automation Architecture

    Stage 4 — Engineer

    • n8n → APIs → Data → Logic → Business Automation

    Stage 5 — Add Intelligence

    • AI APIs → RAG → Vector Stores → AI Agents → Tool Calling → Memory

    Stage 6 — Build Advanced Systems

    • Multi-Agent → Chatbots → WhatsApp → Voice Agents → Social Automation

    Stage 7 — Productize

    • Lovable → Supabase → n8n Backend → AI Product

    Stage 8 — Monetize

    • Client Discovery → Scoping → Proposals → Pricing → Freelancing → Agency → Portfolio

    Course Outline

    Instructor

    Instructor Picture

    NexusBerry

    Instructor

    AI Agents and Workflow Automation Engineer with NexusBerry

    • beginershort
    • 12 Weeks
    • 36 Lessons
    • 16 Projects
    • Instructor: Rana M. Ajmal
    • NexusBerry Training & Solutions

    Get in touch with the NexusBerry team to schedule your Free Demo Session or learn more about our upcoming training batches