AI BUSINESS AUTOMATIONCURRICULUM PREVIEW

AI Automation for Business

Course fee: INR 12,000 + 18% GST (INR 2,160). Total including GST: INR 14,160.

Confirm exclusions, materials, assessments and payment options with admissions.

Automate. Optimise. Scale.

Build smarter businesses with AI-powered workflows, intelligent chatbots, automated marketing, and business process automation.

The AI Automation for Business program at Ecareerpluz helps learners understand how to connect AI tools, automate repetitive tasks, improve productivity, and create practical automation solutions for real-world business needs.

45 hourscourse duration
Contact admissionsupcoming batch
To be confirmedlearning mode

Course duration: 45 hours. Contact admissions for batch dates, daily timings and delivery arrangements.

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Workflow Automation

Connect apps and automate repetitive processes.

AI Assistants

Build intelligent assistants for business tasks.

Customer Automation

Streamline enquiries, follow-ups, and support.

Business Intelligence

Turn business data into useful insights.

Program Overview

Automate. Optimise. Scale.

AI and business workflow automation

Learn how to use Artificial Intelligence and automation platforms to simplify daily business operations, reduce manual work, improve customer engagement, and support data-driven decisions. This program combines practical demonstrations, guided projects, and real-world business scenarios.

Who should enroll?

Business owners, entrepreneurs, and startup founders

Explore automation for daily operations and business needs.

Digital marketers and marketing professionals

Connect marketing tools, campaigns, and customer workflows.

Students, graduates, and aspiring AI professionals

Develop practical AI and automation skills through guided projects.

Sales, HR, customer support, and operations executives

Identify repetitive tasks and build more structured workflows.

Freelancers and consultants

Explore offering automation services to businesses.

Eligibility

  • Recommended eligibility: Basic computer knowledge and an interest in AI or business technology. Programming experience is helpful for advanced modules but need not be mandatory for a beginner-friendly learning track.

Curriculum Preview

A practical, modular curriculum that can be adapted to the course duration and learner level.

Module 1: Introduction to AI and Business Automation
Module 1: Introduction to AI and Business Automation
  • AI, generative AI, machine learning, and automation fundamentals.
  • Identify repetitive tasks suitable for automation.
  • Understand business workflows, efficiency, and return on investment.
Module 2: Generative AI and Prompt Engineering
Module 2: Generative AI and Prompt Engineering
  • Write effective prompts for business use cases.
  • Generate emails, reports, proposals, and business content.
  • Use AI for research, summarisation, and structured data extraction.
Module 3: No-Code and Low-Code Automation
Module 3: No-Code and Low-Code Automation
  • Workflow triggers, actions, filters, and conditional logic.
  • Automate tasks using tools such as n8n, Make, and Zapier.
  • Connect forms, spreadsheets, email, and business applications.
Module 4: AI Chatbots and Business Assistants
Module 4: AI Chatbots and Business Assistants
  • Design customer enquiry and FAQ assistants.
  • Create lead qualification and appointment workflows.
  • Explore knowledge-based assistants and retrieval-augmented generation (RAG).
Module 5: Sales, Marketing, and Customer Relationship Automation
Module 5: Sales, Marketing, and Customer Relationship Automation
  • Automate lead capture, assignment, and follow-up reminders.
  • Build AI-assisted email and marketing workflows.
  • Explore CRM integration and customer lifecycle automation.
Module 6: Data, Reports, and Business Intelligence
Module 6: Data, Reports, and Business Intelligence
  • Automate spreadsheet updates and routine reports.
  • Summarise business data with AI assistance.
  • Create dashboards and performance monitoring workflows.
Module 7: APIs, Webhooks, and Intelligent Integrations
Module 7: APIs, Webhooks, and Intelligent Integrations
  • Understand APIs, JSON, webhooks, and data mapping.
  • Connect compatible third-party applications.
  • Explore AI model APIs and basic error handling.
Module 8: Capstone Project and Deployment
Module 8: Capstone Project and Deployment
  • Build and test an end-to-end business automation.
  • Handle errors, access permissions, and human approval.
  • Document workflows, evaluate performance, and present the project.

Confirm the final curriculum, training hours, learner level and available integrations with Ecareerpluz before enrolling.

Tools & Technologies

Learn to select and combine AI models, workflow builders, communication platforms, and analytics tools according to the business problem.

AI and Generative AI Platforms

  1. ChatGPT - visual reference

    ChatGPT

    Prompt engineering, content generation, analysis, and AI-assisted workflows.

  2. Google Gemini - visual reference

    Google Gemini

    Research, summarisation, multimodal assistance, and productivity tasks.

  3. Claude - visual reference

    Claude

    Document analysis, structured writing, and business problem-solving.

  4. Microsoft Copilot - visual reference

    Microsoft Copilot

    AI-assisted productivity and workflows in supported Microsoft applications.

Workflow Automation Platforms

  1. n8n - visual reference

    n8n

    Visual workflows, API connections, and AI-powered automation.

  2. Make - visual reference

    Make

    Visual scenario building and multi-app process automation.

  3. Zapier - visual reference

    Zapier

    Connect applications and automate everyday business tasks.

  4. Power Automate - visual reference

    Power Automate

    Automate supported Microsoft 365 and business processes.

Business, Marketing, and Communication Tools

  1. Google Sheets - visual reference

    Google Sheets

    Store, organise, update, and analyse operational data.

  2. HubSpot CRM - visual reference

    HubSpot CRM

    Lead management, contact records, and customer workflows.

  3. WhatsApp Business Platform - visual reference

    WhatsApp Business Platform

    Explore approved messaging integrations and customer notifications.

  4. Google Forms - visual reference

    Google Forms

    Automate form submissions, data collection, and lead capture.

Advanced AI, APIs, and Data Tools

  1. OpenAI API and Gemini API

    Integrate supported AI capabilities into applications and workflows.

  2. Webhooks and REST APIs

    Transfer data between connected systems.

  3. JSON

    Structure information for automated processing.

  4. Airtable and Notion

    Organise business data, content, and project information.

  5. Looker Studio and Power BI

    Create reports and visualise business performance.

  6. Python fundamentals

    Introduce scripting for advanced data processing and custom automation.

  7. AI agent frameworks

    Explore tools such as LangChain when appropriate for the course level.

Discuss tool access and any separate provider accounts with admissions. Tool access, free-tier limits, paid subscriptions, API usage charges, and available integrations vary by provider. Confirm which tools are demonstrations and which, if any, are included in the training fee.

Projects & Practical Work

Build a portfolio of practical projects based on common business requirements.

AI Lead Management System
PROJECT 1

AI Lead Management System

Capture leads from a form, organise them in a spreadsheet or CRM, classify enquiries, and trigger follow-up reminders automatically.

Skills: Forms, AI classification, workflow triggers, CRM integration.

AI Customer Support Assistant
PROJECT 2

AI Customer Support Assistant

Develop an assistant that answers common questions using approved business information and directs complex enquiries to a human representative.

Skills: Prompt design, knowledge sources, chatbot logic, escalation.

Automated Marketing Workflow
PROJECT 3

Automated Marketing Workflow

Generate draft campaign content, organise content calendars, and create approval and publishing reminders for marketing teams.

Skills: Generative AI, scheduling, workflow integration, approval steps.

Automated Sales Reporting
PROJECT 4

Automated Sales Reporting

Process sample sales data, calculate key performance indicators, and produce a scheduled summary report for management.

Skills: Data processing, spreadsheets, AI summarisation, dashboards.

HR Recruitment Workflow
PROJECT 5

HR Recruitment Workflow

Organise applicant information, send interview scheduling notifications, and create a recruitment status tracker with human review.

Skills: Document processing, scheduling, notifications, responsible AI.

Capstone project: Design a complete AI-powered automation solution for a chosen business, from identifying the problem to building, testing, documenting, and presenting the workflow.

Learning Goals

By the end of the program, learners should be able to:

Understand how AI and business process automation work together.

Identify repetitive tasks that can be automated safely and effectively.

Write prompts for common business and operational requirements.

Build workflows using visual automation platforms.

Connect compatible apps through APIs, webhooks, and integrations.

Develop basic AI assistants for customer enquiries and internal knowledge.

Automate lead management, reporting, notifications, and selected marketing tasks.

Measure workflow performance using time saved, error rates, completion rates, and cost estimates.

Apply privacy, security, human approval, and responsible AI practices.

Demonstrate their skills through working projects and a portfolio.

Industry Salary Growth & Business Opportunities

AI automation skills can support careers in digital operations, business process improvement, marketing technology, and AI-enabled services. Earnings depend on experience, technical depth, location, portfolio quality, and employer requirements.

Career pathways

AI Automation Executive / Workflow Specialist

Build and maintain automations, connect applications, and troubleshoot workflows.

AI Solutions / Integration Specialist

Develop more advanced AI workflows, API integrations, and business assistants.

AI Automation Consultant / Solutions Architect

Design business-wide solutions, manage integrations, and advise organisations on automation strategy.

Indicative salary progression in India

Compare these planning ranges with current local opportunities. Pay varies by role, qualifications, experience and employer.

AI Automation Executive / Workflow Specialist

INR 3-6 LPAIndicative entry-level to early-career target range

AI Solutions / Integration Specialist

INR 6-12 LPARelevant implementation skills and experience required

AI Automation Consultant / Solutions Architect

INR 12-20+ LPAExperienced professionals; advanced technical expertise generally required

Business opportunities

AI Automation Agency

AI Automation Agency

Provide workflow design, implementation, and maintenance services.

Chatbot Development

Chatbot Development

Build FAQ assistants and customer enquiry systems for businesses.

Marketing Automation

Marketing Automation

Offer lead workflows, campaign operations, and reporting services.

Business Consulting & Training

Business Consulting & Training

Help SMEs identify automation opportunities and train their teams.

Placement Assistance

Prepare for employment and freelance opportunities with career-focused support.

Career support services

Resume and Portfolio Development

Present your AI automation projects, tools, technical skills, and measurable outcomes professionally.

Interview Preparation

Practise workflow-design questions, business scenarios, project explanations, and technical fundamentals.

Job and Internship Guidance

Get guidance on relevant openings, role requirements, application preparation, and professional networking, subject to availability.

Freelancing and Business Guidance

Learn to scope automation projects, prepare proposals, estimate implementation effort, and explain value to clients.

Our goal: Help learners become job-ready and develop the confidence to apply AI automation skills in real business environments. Placement support is guidance.

Example learning journeys

Practical Projects. New Skills. Future Possibilities.

Explore example AI automation projects and learning journeys.

Data-Driven Learning, Delivered with Quality

At Ecareerpluz, practical learning should focus on measurable outcomes rather than tool demonstrations alone.

Our learning approach

Outcome-Based Learning

Every module connects a concept to a practical business task or measurable skill.

Performance Measurement

Evaluate workflow completion, accuracy, time savings, and error handling.

Hands-On Practice

Learn through guided exercises, troubleshooting, and practical assignments.

Responsible AI

Understand data privacy, permissions, validation, security, and human oversight.

How progress can be measured

Learning areaAssessment approach
KnowledgeModule-wise knowledge assessments.
Practical skillsPractical workflow completion and testing.
Project evaluationProject rubrics and trainer feedback.
PortfolioPortfolio quality and final project presentation.
Business impactBusiness impact calculations using realistic sample data.

Meet Your Mentors

Learn from Industry Experts and Experienced Professionals.

Mr. P. PRAKASH RAJ

Mr. P. PRAKASH RAJ

Software Developer
Mrs. S. SIVANISHA

Mrs. S. SIVANISHA

IT Trainer
Mr. S. MOHAMED RIYAS KHAN

Mr. S. MOHAMED RIYAS KHAN

UI & UX Designer
Mr. S. SABARINATHAN

Mr. S. SABARINATHAN

AI Analyst

Frequently Asked Questions

What is AI Automation for Business?

It is a practical training program covering AI tools, visual workflows, business assistants, integrations, reporting, and responsible automation for common business tasks.

Do I need coding knowledge to join?

Basic computer knowledge is recommended. A beginner-friendly track need not require programming experience; advanced API, scripting, and integration modules may benefit from coding knowledge. Confirm the entry level with admissions.

Who is eligible for this course?

Business owners, entrepreneurs, marketers, students, graduates, working professionals, freelancers, and consultants with an interest in AI or business technology can enquire. Confirm batch-specific prerequisites before enrolling.

Which tools will I learn?

The curriculum covers AI platforms such as ChatGPT, Gemini, Claude, and Copilot; workflow builders including n8n, Make, Zapier, and Power Automate; business tools; APIs; and data tools. Coverage depends on the course level, access, and final curriculum.

Will I build real projects?

Practice work includes lead management, a support assistant, marketing workflows, sales reports, an HR workflow, and a capstone. Confirm whether activities use sample data, simulations, or supervised business systems. Access and permissions are required for live deployments.

How long is the course?

The course duration is 45 hours. Contact admissions for batch dates and the detailed timetable.

Will I receive a certificate?

Confirm the certificate issuer, assessment criteria, attendance requirements, and completion terms with Ecareerpluz before enrolling. No external accreditation or awarding-body affiliation is implied.

How does career support work?

Ask our team about available career guidance, portfolio preparation and interview practice. Employers make their own selection decisions based on skills, qualifications and vacancies.

Can I use these skills to start an automation business?

The skills can support workflow services, chatbot development, marketing automation, consulting, and training. Business results depend on experience, implementation quality, client needs, costs, and applicable legal requirements.

Are software subscriptions included in the course fee?

Course fee: INR 12,000 + 18% GST (INR 2,160). Total including GST: INR 14,160. Confirm exclusions, materials, assessments and payment options with admissions.

Is AI automation safe for confidential business data?

Do not upload confidential or personal data without permission and an approved data-handling process. Use sample or appropriately de-identified data for practice, review provider terms, restrict access, validate outputs, and retain human oversight for sensitive actions.

What is the course duration?

The course duration is 45 hours. Contact admissions for batch dates and the detailed timetable.

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