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AI SEO & SEO Automation

Combine AI, Python and SEO tools to build faster, repeatable SEO workflows, from AI-assisted keyword research to automated audits and reporting.

  • 30 Days Course duration
  • ₹6,000 Course fee
  • Live Online Instructor-led training
  • Intermediate Beginner to intermediate progression

Learning approach: Live Classes + Practical Assignments + AI & Automation Implementation.

AI SEO & SEO Automation course cover: live online SkillNewton programme and key topics

Course Overview

Learn how to combine Artificial Intelligence, SEO tools, automation workflows and programming to make SEO processes faster, smarter and more scalable. This practical training programme focuses on AI-assisted keyword research, automated content workflows, Python for SEO, API integrations, bulk metadata generation, automated website analysis, SEO reporting and AI-powered technical SEO auditing.

You will learn how to build repeatable SEO workflows, automate time-consuming tasks, integrate SEO tools with AI platforms and develop practical automation solutions for websites, blogs and digital marketing agencies. Throughout, the course stresses human oversight, fact verification and review of AI output before anything goes live on a website.

The programme runs for 30 days across six learning phases and 12 modules, moving from AI in SEO and keyword research, through Python, website crawling, APIs and bulk metadata, to auditing, reporting and advanced workflows. You complete 12 practical projects and assignments, ending with a capstone in which you build a practical AI-powered SEO automation system. Live classes run 5 days a week, 1.5 hours each, with practical coding exercises after major modules, weekly doubt-clearing sessions, hands-on AI API integration, real website automation exercises and a final capstone evaluation.

Course completion outcomes

  • Use AI tools for keyword research and content planning
  • Develop AI-assisted content workflows
  • Perform automated keyword clustering
  • Write basic Python scripts for SEO
  • Extract and process website data
  • Automate website crawling and SEO checks
  • Work with REST APIs and AI integrations
  • Generate SEO metadata in bulk
  • Build basic AI-powered technical SEO audit tools
  • Automate SEO reporting workflows
  • Develop repeatable SEO processes for agencies and businesses
  • Build practical AI-powered SEO automation projects

Course Curriculum

12 modules over 30 days. Each module combines lessons with practical assignments on a real website or project.

01 Days 1–5 · AI in SEO & Research 3 modules

M1 Introduction to AI in SEO

What you'll learn

  • Understanding Artificial Intelligence in SEO
  • Evolution of AI-powered search and SEO
  • AI applications in keyword research
  • AI-assisted content optimization
  • AI-powered competitor analysis
  • AI applications in technical SEO
  • Understanding LLMs and generative AI
  • Introduction to ChatGPT, Gemini and Perplexity
  • AI limitations and common mistakes
  • Human oversight and SEO quality control
  • Developing AI-powered SEO workflows
M2 AI-Assisted Keyword Research & Analysis

What you'll learn

  • Understanding AI-assisted keyword research
  • Generating keyword ideas using AI
  • Search intent classification using AI
  • Long-tail keyword discovery
  • Supporting and semantic keyword research
  • Keyword clustering and grouping
  • Competitor keyword research workflows
  • Topic and subtopic discovery
  • Search query expansion
  • Building keyword research databases
  • Automated keyword categorization
  • Keyword mapping and content planning
M3 AI-Powered Content Research & Strategy

What you'll learn

  • AI-assisted topic research
  • Competitor content analysis
  • Content gap identification
  • Topical map development using AI
  • Semantic keyword and entity research
  • Content brief generation
  • SEO content outline generation
  • Search intent-based content planning
  • Supporting terminology identification
  • Content research automation
  • Content quality and fact verification
  • Developing editorial workflows

02 Days 6–10 · AI Content & Python 2 modules

M4 AI Content Creation & Optimization Workflows

What you'll learn

  • Introduction to AI-assisted content creation
  • Building effective SEO prompts
  • Prompt engineering fundamentals
  • Generating SEO content briefs
  • AI-assisted article drafting
  • Creating structured content outlines
  • Title and meta description generation
  • Heading optimization
  • Semantic content optimization
  • FAQ and question-based content generation
  • Content rewriting and updating
  • Bulk content optimization workflows
  • Fact-checking and editorial review
  • Avoiding generic and repetitive AI content
M5 Python Fundamentals for SEO Automation

What you'll learn

  • Introduction to Python for SEO
  • Setting up Python and development environments
  • Variables, data types and operators
  • Lists, dictionaries and loops
  • Conditional statements
  • Functions and reusable scripts
  • Reading and writing CSV and Excel files
  • Working with JSON data
  • File handling and data processing
  • Installing and using Python libraries
  • Introduction to requests and BeautifulSoup
  • Building simple SEO automation scripts

03 Days 11–15 · Crawling Automation 1 module

M6 Website Crawling & SEO Automation Using Python

What you'll learn

  • Introduction to automated website crawling
  • Understanding HTTP requests
  • Fetching website URLs
  • Extracting page titles and meta descriptions
  • Extracting headings and image alt attributes
  • Checking HTTP response codes
  • Identifying broken links
  • Detecting missing metadata
  • Extracting internal and external links
  • Sitemap URL extraction
  • Robots.txt analysis
  • Basic canonical tag analysis
  • Exporting crawl results to CSV and Excel
  • Building a basic website SEO audit script

04 Days 16–20 · APIs & Bulk Metadata 2 modules

M7 SEO APIs & AI Integration

What you'll learn

  • Introduction to APIs
  • Understanding API requests and responses
  • REST API fundamentals
  • HTTP methods and status codes
  • JSON data handling
  • API authentication and API keys
  • Understanding API rate limits
  • Introduction to Google APIs
  • Google Search Console API fundamentals
  • Integrating AI APIs into SEO workflows
  • Connecting Python scripts with AI models
  • Sending prompts and processing AI responses
  • API error handling
  • Managing API costs and usage
  • Building simple AI-powered SEO applications
M8 Bulk SEO Automation & Metadata Generation

What you'll learn

  • Understanding bulk SEO operations
  • Extracting website page information
  • Bulk title tag generation
  • Bulk meta description generation
  • Automated heading suggestions
  • Bulk image alt text generation
  • Keyword-based metadata optimization
  • AI-assisted content recommendations
  • Processing large URL lists
  • Spreadsheet-based SEO automation
  • Validating generated metadata
  • Exporting optimized metadata
  • Human review before website implementation

05 Days 21–24 · AI Audits & Reporting 2 modules

M9 AI-Powered Technical SEO Auditing

What you'll learn

  • Automated technical SEO checks
  • Website crawling with Python
  • Identifying missing title tags
  • Detecting duplicate metadata
  • Finding broken internal links
  • Identifying missing image alt attributes
  • Checking canonical tags
  • XML sitemap validation
  • Robots.txt analysis
  • HTTP status code monitoring
  • Basic schema detection and validation
  • AI-assisted technical issue classification
  • Generating SEO audit recommendations
  • Building automated SEO audit reports
M10 SEO Reporting & Workflow Automation

What you'll learn

  • Introduction to SEO reporting automation
  • Google Search Console data extraction
  • Google Analytics 4 reporting fundamentals
  • Working with SEO datasets
  • Automated keyword performance reports
  • Automated traffic reports
  • Data cleaning and formatting
  • Google Sheets automation
  • Python-based report generation
  • Looker Studio dashboard fundamentals
  • Automated reporting workflows
  • Scheduling and maintaining scripts
  • Building reusable reporting templates

06 Days 25–30 · Workflows & Final Project 2 modules

M11 Advanced AI SEO Workflows

What you'll learn

  • AI-assisted competitor analysis
  • Automated content gap analysis
  • AI-powered keyword clustering
  • Automated topical map generation
  • Internal linking opportunity identification
  • AI-assisted content auditing
  • Automated content briefs
  • SEO task prioritization
  • AI-assisted SERP analysis
  • Building multi-step SEO workflows
  • Workflow validation and quality assurance
  • Developing repeatable agency SEO processes
M12 Practical Implementation & Final ProjectDevelop a practical AI-powered SEO automation system

What you'll learn

  • Build an AI-assisted keyword research workflow
  • Develop an automated keyword clustering script
  • Create an AI-powered content brief generator
  • Build a Python website crawler
  • Extract website SEO metadata in bulk
  • Generate optimized metadata using AI
  • Create a basic technical SEO audit tool
  • Integrate an AI API with Python
  • Extract and analyze SEO performance data
  • Develop an automated SEO reporting workflow
  • Create a final AI SEO automation project

Practical assignments

  1. Identifying repetitive SEO tasks
  2. Designing an automated SEO workflow
  3. Developing keyword research and clustering automation
  4. Integrating an AI API
  5. Creating a Python-based website crawler
  6. Extracting website metadata in bulk
  7. Generating AI-assisted SEO recommendations
  8. Building a basic technical SEO audit system
  9. Processing SEO performance data
  10. Generating an automated SEO report

Projects You Will Complete

Practical work runs through every module and ends in a final project you can show to an employer or client.

01

AI-Assisted Keyword Research Workflow

Project 1

02

Automated Keyword Clustering Script

Project 2

03

AI-Powered Topical Map Generator

Project 3

04

SEO Content Brief Generator

Project 4

05

Python-Based Website Crawler

Project 5

06

Bulk Metadata Extraction Tool

Project 6

07

AI-Powered Bulk Meta Description Generator

Project 7

08

Automated Broken Link Checker

Project 8

09

Basic Technical SEO Audit Tool

Project 9

10

Google Search Console Data Extraction

Project 10

11

Automated SEO Reporting Workflow

Project 11

12

AI SEO Automation Capstone Project

Project 12

13

Final capstone project

Develop a practical AI-powered SEO automation system.

Tools & Software Covered

You learn to select and use the right tool for each SEO task, from research to auditing and reporting.

AI Assistants 3

  • ChatGPT
  • Gemini
  • Perplexity

AI APIs 2

  • OpenAI API
  • Gemini API

Programming 1

  • Python

Web Scraping 2

  • Requests
  • BeautifulSoup

Data Processing 2

  • Pandas
  • OpenPyXL

SEO Research 2

  • Ahrefs
  • Semrush

Search Analytics 1

  • Google Search Console

Analytics 1

  • Google Analytics 4

Website Crawling 1

  • Screaming Frog

Automation 2

  • Python Scripts
  • Google Sheets

Reporting 1

  • Looker Studio

Content Management 1

  • WordPress

Development 2

  • VS Code
  • Google Colab

Format, Duration & Fee

Live Classes + Practical Assignments + AI & Automation Implementation. You need a computer, a stable internet connection and the free tools listed above.

Training methodology

  • Live instructor-led online classes
  • Hands-on AI tool training
  • Practical Python programming exercises
  • AI API integration demonstrations
  • Real-world SEO automation assignments
  • Weekly doubt-clearing sessions
  • Practical tool and workflow development
  • Final capstone project
  • Course completion certificate
  • ModeLive instructor-led online classes
  • LevelBeginner to Intermediate
  • Duration30 Days
  • Course fee₹6,000

Important: This course teaches methods and workflows; rankings, traffic and other results are not guaranteed. Using AI tools and APIs may carry third-party costs, and all AI-generated output needs human review before use.

Compare SEO Courses

Two live online programs, Foundation and Advanced. Pick the depth that fits your goals.

See the full side-by-side comparison

Where These Skills Are Used

Common roles and paths that use what this course teaches. Outcomes depend on your effort and the market; we do not promise jobs.

SEO automation specialist

Build Python scripts and AI workflows that handle crawling, bulk metadata and SEO checks at scale.

Technical SEO analyst

Run automated technical SEO audits and turn crawl data into prioritised recommendations.

AI-assisted SEO executive

Use AI for keyword research, clustering, content briefs and content planning, with human review.

SEO reporting analyst

Automate Search Console and GA4 reporting with Python, Google Sheets and Looker Studio dashboards.

Freelance SEO automation consultant

Offer clients repeatable AI-powered SEO workflows, audit tools and automated reports.

Frequently Asked Questions

What is the AI SEO & SEO Automation course?

It is a 30-day live online programme of 12 modules that teaches you to combine AI, Python, APIs and SEO tools to automate SEO work. It includes 12 practical projects and assignments and ends with a capstone in which you build a practical AI-powered SEO automation system.

What is the fee and how long does it run?

The course fee is ₹6,000 and the programme runs for 30 days. Send an enquiry for the next batch start date.

Do I need coding experience?

No. The course is pitched at beginner to intermediate level, and Python is taught from fundamentals in Module 5, covering variables, loops, functions, CSV and Excel files, JSON and libraries such as requests and BeautifulSoup.

Are the classes live?

Yes. Classes are live, instructor-led and online, 5 days a week, 1.5 hours each, with practical coding exercises after major modules and weekly doubt-clearing sessions.

Will I learn to build a website crawler?

Yes. Module 6 covers crawling with Python: fetching URLs, extracting titles, meta descriptions, headings and alt attributes, checking response codes, finding broken links and exporting results to CSV and Excel.

Does the course cover AI APIs?

Yes. Module 7 covers REST APIs, authentication and API keys, rate limits, Google Search Console API fundamentals, connecting Python scripts with AI models, error handling and managing API costs.

Which tools will I use?

ChatGPT, Gemini, Perplexity, the OpenAI API, Gemini API, Python, Requests, BeautifulSoup, Pandas, OpenPyXL, Ahrefs, Semrush, Google Search Console, Google Analytics 4, Screaming Frog, Google Sheets, Looker Studio, WordPress, VS Code and Google Colab.

Will I get a certificate?

Yes. You receive a course completion certificate.

Are rankings, traffic or results guaranteed?

No. The course teaches methods and workflows, but results depend on many factors. AI output also needs human review before it is used on a website, which the course covers throughout.

How does this relate to SEO Foundation and Advanced SEO?

SEO Foundation (30 days, ₹5,000) is a beginner course in core SEO. Advanced SEO, AEO & GEO Mastery (90 days, ₹10,000) is a longer programme. This course focuses on applying AI, Python and automation to SEO tasks.

Learn SEO Online From Your City

Classes are online and live, so they are open to learners anywhere in India. These pages explain how SEO skills apply to businesses and careers in specific cities.

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