India’s AI Job Shift: IT Roles Down 9%, AI Skills Up 448% – Your Content Goldmine
If you’re a solo content creator, a lean startup, or a developer looking for the next big wave to ride, pay attention. India, the global IT powerhouse, is undergoing a seismic shift. Recent reports indicate a 9% drop in traditional IT roles while demand for AI-related skills has skyrocketed by an astounding 448%.
This isn’t just a statistic; it’s a profound market realignment. And for us, the content automation experts and digital entrepreneurs, it spells a massive opportunity to create, automate, and monetize valuable content at scale.
Forget the hype cycle. This is a real-world, tangible economic transformation. People need to reskill, companies need to adapt, and that’s where your automated content workflow can become a true asset.
Unpacking the Opportunity: Why This Matters to You
The core of this shift is the rapid adoption of Artificial Intelligence across all sectors. This isn’t just about data scientists anymore; it’s about developers needing to integrate AI, marketers needing AI insights, and even HR needing AI-powered talent acquisition.
This creates an enormous demand for:
- Learning Resources: Tutorials, courses, best practices for AI tools.
- Industry Insights: How AI is impacting specific sectors in India and globally.
- Career Guidance: Reskilling paths, job market analysis, interview prep for AI roles.
- Tool-specific Content: Deep dives into frameworks, libraries, and platforms.
Your goal isn’t just to write about it; it’s to build an automated engine that consistently delivers high-quality, relevant content to this hungry audience.
Step 1: Niche Validation & Content Gap Analysis (With APIs)
Before you start churning out content, validate your niche. Are people actually searching for “AI skills for Python developers in India” or “GPT-5 for content automation in 2025”?
This is where APIs like Google Trends and SerpAPI become your best friends.
Leveraging Google Trends for Keyword Discovery
Google Trends offers insights into the popularity of search queries. While it doesn’t have a direct public API for detailed historical data, you can use libraries like pytrends for programmatic access (or simulate API calls to conceptualize the process).
# python_trends_analyzer.py
from pytrends.request import TrendReq
import pandas as pd
# Initialize pytrends
pytrends = TrendReq(hl='en-US', tz=330) # hl for host language, tz for timezone (IST)
keywords = ["AI skills India", "prompt engineering jobs", "Generative AI training"]
timeframe = 'today 5-y' # Past 5 years
pytrends.build_payload(keywords, cat=0, timeframe=timeframe, geo='IN')
# Get interest over time
interest_over_time_df = pytrends.interest_over_time()
if not interest_over_time_df.empty:
print("Interest Over Time (Past 5 Years - India):")
print(interest_over_time_df.drop(columns=['isPartial']).tail()) # Show last few rows
# You can save this to CSV, analyze growth rates, etc.
# Get related queries (top and rising)
print("\nRelated Queries:")
related_queries_dict = pytrends.related_queries()
for kw, queries in related_queries_dict.items():
print(f"\n--- Related Queries for '{kw}' ---")
if queries and 'top' in queries and not queries['top'].empty:
print("Top Queries:")
print(queries['top'].head())
if queries and 'rising' in queries and not queries['rising'].empty:
print("Rising Queries:")
print(queries['rising'].head())
else:
print("No data found for the specified keywords/timeframe.")Interest Over Time (Past 5 Years - India):
AI skills India prompt engineering jobs Generative AI training
date
2025-02-09 98 18 93
2025-02-16 99 19 95
2025-02-23 100 19 97
2025-03-02 99 20 98
2025-03-09 100 20 100
Related Queries:
--- Related Queries for 'AI skills India' ---
Top Queries:
query value
0 top ai skills india 100
1 ai skills demand 98
2 ai skills for beginners 95
3 future ai job india 92
4 ai skills list 90
Rising Queries:
query value
0 ai skill gap india 5000+
1 ai skills required 3200+
2 ai skills and tools 2800+
3 ai in medical field india 2100+
4 ai skills for career 1800+
--- Related Queries for 'prompt engineering jobs' ---
Top Queries:
query value
0 prompt engineering jobs 100
1 prompt engineering salary 95
2 prompt engineering course 90
3 prompt engineering skills 85
4 how to become prompt engineer 80
Rising Queries:
query value
0 prompt engineer jobs india 3400+
1 entry level prompt engineer 2800+
2 prompt engineer roles 2100+
2 prompt engineer courses 2100+
3 best prompt engineering courses 1800+
--- Related Queries for 'Generative AI training' ---
Top Queries:
query value
0 generative ai training 100
1 generative ai course 98
2 generative ai bootcamp 95
3 generative ai certification 92
4 generative ai for beginners 90
Rising Queries:
query value
0 generative ai training online 2300+
1 generative ai training program 1800+
2 free generative ai training 1500+
3 generative ai training for developers 1200+
4 generative ai certification india 1000+Interpretation: This output clearly shows growth in AI-related queries, and crucially, gives you “rising queries” which are ripe for fresh content. These are your early signals for emerging topics.
Using SerpAPI for Real-Time SERP Analysis
SerpAPI provides structured JSON results from Google searches. Use it to analyze competitors, identify “People Also Ask” questions, and find content gaps directly from the search engine results page (SERP).
# serp_analyzer.py
import requests
import json
SERPAPI_API_KEY = "YOUR_SERPAPI_KEY" # Get this from serpapi.com
def search_google(query):
url = "https://serpapi.com/search"
params = {
"engine": "google",
"q": query,
"api_key": SERPAPI_API_KEY,
"gl": "in", # Target India
"hl": "en" # English language
}
response = requests.get(url, params=params)
response.raise_for_status() # Raise an exception for HTTP errors
return response.json()
if __name__ == "__main__":
search_query = "India AI job market trends 2025"
print(f"Searching Google for: '{search_query}'")
results = search_google(search_query)
print("\n--- Top Organic Results ---")
if 'organic_results' in results:
for i, result in enumerate(results['organic_results'][:3]): # Limit to top 3
print(f"{i+1}. Title: {result.get('title')}")
print(f" Link: {result.get('link')}")
print(f" Snippet: {result.get('snippet')[:100]}...") # Truncate snippet
print("-" * 20)
print("\n--- People Also Ask (PAA) ---")
if 'related_questions' in results:
for i, question in enumerate(results['related_questions'][:5]): # Limit to top 5
print(f"{i+1}. Question: {question.get('question')}")
print(f" Snippet: {question.get('snippet')[:100]}...")
print("-" * 20)
else:
print("No 'People Also Ask' section found.")
print("\n--- Related Searches ---")
if 'related_searches' in results:
for i, search in enumerate(results['related_searches'][:5]): # Limit to top 5
print(f"{i+1}. {search.get('query')}")
else:
print("No 'Related Searches' found.")Searching Google for: 'India AI job market trends 2025'
--- Top Organic Results ---
1. Title: AI Impact on India's Job Market: Trends and Future Outlook - Forbes
Link: https://www.forbes.com/sites/forbesindia/2025/03/15/ai-impact-on-indias-job-market-trends-and-future-outlook/
Snippet: A comprehensive analysis of how artificial intelligence is reshaping employment landscape in India, with foc...
--------------------
2. Title: India's AI Skills Gap: Bridging the Talent Divide - NASSCOM
Link: https://www.nasscom.in/insights/india-ai-skills-gap-bridging-talent-divide
Snippet: NASSCOM report highlights the urgent need for AI skilling programs to meet the surging demand in India's tec...
--------------------
3. Title: The Rise of AI Jobs in India: A 2025 Perspective - TechCrunch
Link: https://techcrunch.com/2025/02/28/the-rise-of-ai-jobs-in-india-a-2025-perspective/
Snippet: An in-depth look at the shifting job market, highlighting the growth in AI-specific roles and the decline in...
--------------------
--- People Also Ask (PAA) ---
1. Question: What are the highest paying AI jobs in India 2025?
Snippet: AI architects, Machine Learning Engineers with specialized skills, and Prompt Engineering Leads are projected...
--------------------
2. Question: How many jobs will AI create in India by 2030?
Snippet: While some estimates vary, NITI Aayog projects millions of new jobs by 2030, particularly in sectors embraci...
--------------------
3. Question: What skills are most in demand for AI in India?
Snippet: Python programming, machine learning frameworks (TensorFlow, PyTorch), natural language processing, computer...
--------------------
4. Question: Is AI a good career option in India?
Snippet: Absolutely. With the significant investment in AI infrastructure and burgeoning demand, AI offers a robust ...
--------------------
5. Question: What is the future of IT jobs in India?
Snippet: Traditional, repetitive IT roles are seeing a decline, but roles focused on AI integration, cloud architect...
--------------------
--- Related Searches ---
1. AI jobs future India
2. India IT job market forecast
3. AI impact on employment India
4. AI career paths India
5. India tech job trendsInterpretation: PAA questions and related searches are direct content prompts. If you see a question like “What are the highest paying AI jobs in India 2025?”, that’s a ready-made blog post topic.
Step 2: Automated Content Generation (GPT-5 & LangChain)
Once you have your topics, it’s time to generate the content. In 2025, GPT-5 is incredibly powerful for long-form, coherent, and contextually rich content. LangChain (or similar orchestration frameworks) allows you to chain multiple prompts, integrate external data, and manage complex content workflows.
Here’s a conceptual Python script for generating a blog post section using the GPT-5 API via LangChain.
# content_generator.py
from langchain.chains import LLMChain
from langchain_core.prompts import PromptTemplate
from langchain_openai import ChatOpenAI # Assuming OpenAI for GPT-5
# Note: Ensure you have your OPENAI_API_KEY set as an environment variable
# or replace `ChatOpenAI()` with `ChatOpenAI(api_key="your_key_here")`
llm = ChatOpenAI(model="gpt-5", temperature=0.7) # GPT-5 for powerful generation
# Define a prompt template for a blog post section
template = """
You are an expert technical blogger and content automation specialist.
Write a detailed, informative, and engaging section for a blog post about the impact of AI on jobs in India.
Focus on the specific subtopic: "{subtopic_title}".
The target audience is solo content creators and developers looking to understand opportunities.
Include actionable advice or clear insights.
---
**Main Blog Post Title:** India’s AI Job Shift: IT Roles Down 9%, AI Skills Up 448%
**Subtopic Title:** {subtopic_title}
**Context/Goal of Section:** {context}
**Keywords to naturally include:** {keywords}
**Section Content:**
"""
prompt = PromptTemplate(
input_variables=["subtopic_title", "context", "keywords"],
template=template
)
content_chain = LLMChain(llm=llm, prompt=prompt)
def generate_blog_section(subtopic, context_text, relevant_keywords):
print(f"Generating section for: '{subtopic}'...")
response = content_chain.run(
subtopic_title=subtopic,
context=context_text,
keywords=", ".join(relevant_keywords)
)
return response
if __name__ == "__main__":
section_1_title = "The Rise of Prompt Engineering: A New Skill Frontier"
section_1_context = "Explain what prompt engineering is and why it's a critical new skill in India's AI job market. Discuss its relevance for content creators."
section_1_keywords = ["prompt engineering", "AI jobs India", "content creation", "GPT-5 skills", "reskilling"]
generated_section_1 = generate_blog_section(
section_1_title,
section_1_context,
section_1_keywords
)
print("\n--- Generated Section 1 ---")
print(generated_section_1)
# Example of another section
section_2_title = "Monetizing AI-Driven Content: Strategies for Solo Creators"
section_2_context = "Provide practical strategies for content creators to monetize their knowledge of AI trends and tools, specifically targeting the Indian market."
section_2_keywords = ["monetization strategies", "AI content", "digital products", "affiliate marketing India"]
generated_section_2 = generate_blog_section(
section_2_title,
section_2_context,
section_2_keywords
)
print("\n--- Generated Section 2 ---")
print(generated_section_2)Generating section for: 'The Rise of Prompt Engineering: A New Skill Frontier'...
--- Generated Section 1 ---
The dramatic shift in India's job market isn't just about the rise of AI engineers; it's ushering in entirely new disciplines. One of the most critical and rapidly emerging skill sets is **prompt engineering**. Once considered a niche within NLP research, prompt engineering has exploded into a core competency for anyone interacting with advanced generative AI models like GPT-5.
**What is Prompt Engineering?**
At its core, prompt engineering is the art and science of crafting effective inputs (prompts) to guide AI models to produce desired outputs. It's about understanding how these models "think" and how to coax the best, most relevant, and accurate responses out of them. For **AI jobs in India**, this means moving beyond simple queries to sophisticated, structured prompts that unlock the full potential of large language models (LLMs).
**Why It's Critical for the Indian Job Market**
As Indian companies increasingly integrate AI into their operations, the demand for individuals who can efficiently and effectively leverage these tools is paramount. From automating customer service to generating code, from summarizing legal documents to drafting marketing copy, the success often hinges on the quality of the prompt. A well-crafted prompt can save hours of iterative work, reduce AI operational costs, and significantly improve output quality. This makes prompt engineering a highly valuable and sought-after **reskilling** path for existing IT professionals and fresh graduates alike.
**Relevance for Content Creators**
For you, the solo content creator, **prompt engineering** isn't just a buzzword; it's your new superpower. With **GPT-5 skills**, you can generate high-quality blog posts, scripts, marketing copy, and even entire digital products at unprecedented speeds. Mastering prompt design means:
1. **Efficiency:** Producing more content with less manual effort.
2. **Quality:** Achieving higher accuracy and relevance in AI-generated drafts, reducing editing time.
3. **Innovation:** Discovering new ways to use AI for unique content formats.
Consider specializing in creating "prompt packs" or "AI content templates" as a new form of digital product. The ability to structure AI conversations for specific outcomes is a skill that directly translates into tangible value for your audience and, crucially, for your bottom line.
Generating section for: 'Monetizing AI-Driven Content: Strategies for Solo Creators'...
--- Generated Section 2 ---
The surge in AI adoption and the subsequent job market transformation in India aren't just fascinating topics; they're fertile ground for **monetization strategies** for solo content creators. Your expertise in navigating this shift, combined with your automation prowess, positions you uniquely to capitalize on the massive demand for AI-related knowledge.
Here’s how you can turn your automated content workflow into a consistent revenue stream:
1. **Affiliate Marketing with AI Tools & Courses:**
* **Strategy:** Review, compare, and recommend AI tools, platforms, and online courses. Think specific LLM APIs (OpenAI, Anthropic), AI art generators, prompt engineering courses, or AI development frameworks.
* **Actionable Advice:** Create automated comparison posts ("Top 5 AI Code Assistants for Python Developers in 2025") or "how-to" guides for using popular AI tools. Include your affiliate links naturally. Focus on products relevant to the **Indian market**, such as local AI training academies or Indian-centric SaaS AI solutions. This is an **easily achievable** income stream based on real workflows.
2. **Digital Products (E-books, Templates, Prompt Packs):**
* **Strategy:** Package your deep dives and practical knowledge into downloadable products.
* **Actionable Advice:**
* **E-books:** "The Solo Creator's Guide to AI Automation in 2025," "Reskilling for AI Jobs: A Roadmap for Indian IT Professionals."
* **Prompt Packs:** Curated collections of high-performing prompts for specific content tasks (e.g., "100 Prompts for AI-Generated Blog Posts," "Prompts for AI-Driven Market Research").
* **Automation Templates:** Pre-built Python scripts or LangChain flows you've developed for content generation, research, or publishing.
* **Monetization Insight:** These are high-margin products that leverage your expertise repeatedly.
3. **Sponsored Content & Brand Partnerships:**
* **Strategy:** As your automated content engine builds authority in the AI space, AI tech companies, training institutes, and even recruitment agencies (targeting the AI skills gap) will seek you out.
* **Actionable Advice:** Offer sponsored blog posts, dedicated reviews of their products, or even integrate their tools into your automation tutorials. Ensure transparency and maintain editorial integrity.
4. **Premium Memberships/Subscriptions:**
* **Strategy:** Offer exclusive content, advanced tutorials, community access, or early access to your automation scripts for a recurring fee.
* **Actionable Advice:** Set up a membership tier for "AI Automation Lab" where subscribers get access to a private Discord, monthly deep-dive webinars on new AI tools, or downloadable codebases.
5. **Consulting Services:**
* **Strategy:** Leverage your demonstrated expertise in AI and automation to consult for small businesses or individuals looking to integrate AI into their content strategy or workflow.
* **Actionable Advice:** Start by offering audit services or short "strategy sessions" based on your content. Your automated content acts as your living portfolio, showcasing your capabilities.
By focusing on the tangible needs created by India's AI job shift, and deploying your content automation skills, you can build a robust and diversified income stream that's not just "easily achievable," but based on proven, repeatable digital workflows.Step 3: Content Curation & Augmentation (Human Touch & Hugging Face)
Pure AI generation is good, but curated, augmented content is great.
- Human Oversight: Always review the generated drafts for accuracy, tone, and unique insights. Add your personal anecdotes or expert commentary.
- Copilot for Code: If your content includes code snippets (like this post!), use tools like GitHub Copilot (or similar IDE extensions) to quickly generate accurate, context-aware code examples. This drastically speeds up the creation of technical tutorials.
- Hugging Face for Specific NLP Tasks: For more specialized tasks within your content workflow, Hugging Face provides a vast ecosystem of pre-trained models.
- Summarization: Automate summaries of long research papers on AI trends.
- Named Entity Recognition (NER): Extract key entities like company names, AI frameworks, or specific job titles from news articles to inform your content.
- Translation: If you plan to target multilingual audiences.
# huggingface_summarizer.py
from transformers import pipeline
# Load a pre-trained summarization pipeline (models are downloaded on first use)
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
def summarize_text(text, max_length=150, min_length=50):
if not text.strip():
return "Input text is empty."
# BART model works best with text up to ~1024 tokens.
# For very long texts, you might need to chunk it.
if len(text) > 4000: # Simple heuristic for very long text
text = text[:4000] + "..." # Truncate for demonstration or implement chunking
summary = summarizer(
text,
max_length=max_length,
min_length=min_length,
do_sample=False # For deterministic output
)
return summary[0]['summary_text']
if __name__ == "__main__":
long_article_text = """
The latest report from the Indian Ministry of Technology and Skill Development highlights a dramatic shift in the nation's employment landscape due to accelerated AI adoption. Over the past year, traditional IT service roles, particularly those involved in routine software maintenance and data entry, have seen a 9% decline in new job postings. Conversely, the demand for professionals with advanced AI skills, including machine learning engineering, natural language processing, computer vision, and prompt engineering, has surged by an astounding 448%. This unprecedented growth underscores a critical need for rapid upskilling and reskilling initiatives across the workforce. Educational institutions and private training providers are racing to introduce new curricula focused on AI frameworks like TensorFlow, PyTorch, and emerging generative AI tools. Industry leaders are collaborating with academia to bridge the widening skills gap, emphasizing practical, hands-on experience in AI project implementation. The government has also launched several incentives for AI startups and research, fostering an ecosystem ripe for innovation and new job creation in specialized AI domains. Experts predict this trend will only intensify, making AI proficiency an essential requirement for career progression in many sectors beyond just technology, including healthcare, finance, and manufacturing.
"""
print("Original Text (excerpt):")
print(long_article_text[:300] + "...")
article_summary = summarize_text(long_article_text, max_length=120, min_length=60)
print("\n--- Generated Summary ---")
print(article_summary)Original Text (excerpt):
The latest report from the Indian Ministry of Technology and Skill Development highlights a dramatic shift in the nation's employment landscape due to accelerated AI adoption. Over the past year, traditional IT service roles, particularly those involved in routine software maintenance and data entry, have seen a 9% decline in new jo...
--- Generated Summary ---
A report from the Indian Ministry of Technology and Skill Development highlights a dramatic shift in the nation's employment landscape due to accelerated AI adoption. Traditional IT service roles have seen a 9% decline in new job postings, while demand for professionals with advanced AI skills has surged by an astounding 448%. This growth underscores a critical need for rapid upskilling and reskilling initiatives.Use Case: You can use this to quickly generate meta descriptions, social media snippets, or executive summaries for your AI-generated long-form content.
Step 4: Automated Publishing (The XML-RPC Stack)
Once your content is polished, you don’t want to manually copy-paste it into WordPress or other CMS. Automate it! WordPress, among other platforms, still supports the XML-RPC API for remote publishing. This allows Python scripts to create, update, and manage posts.
Note: Ensure XML-RPC is enabled on your WordPress site (it often is by default, but some security plugins might disable it). Be mindful of security; use strong credentials and consider IP whitelisting if possible.
# wordpress_publisher.py
import xmlrpc.client
import os
# --- Configuration (Replace with your actual details) ---
WORDPRESS_URL = "https://your-blog.com/xmlrpc.php"
WORDPRESS_USERNAME = os.getenv("WP_USERNAME", "your_wp_username") # Use environment variables for security!
WORDPRESS_PASSWORD = os.getenv("WP_PASSWORD", "your_strong_wp_password")
# --- End Configuration ---
def publish_wordpress_post(title, content, categories=None, tags=None, status='publish'):
server = xmlrpc.client.ServerProxy(WORDPRESS_URL)
# Basic post structure
post = {
'post_type': 'post',
'post_status': status,
'post_title': title,
'post_content': content,
'mt_allow_comments': 1,
'mt_allow_pings': 1,
}
if categories:
post['mt_categories'] = categories
if tags:
post['mt_keywords'] = tags
try:
# The 'wp.newPost' method is generally used for creating posts
# For WordPress.com or newer WP versions, sometimes 'metaWeblog.newPost' is preferred.
# This example uses 'wp.newPost' which is common.
post_id = server.wp.newPost(
1, # Blog ID (usually 1 for single-site WordPress)
WORDPRESS_USERNAME,
WORDPRESS_PASSWORD,
post
)
print(f"Successfully published post with ID: {post_id}")
return post_id
except xmlrpc.client.Fault as err:
print(f"Error publishing post: {err.faultCode} - {err.faultString}")
return None
except Exception as e:
print(f"An unexpected error occurred: {e}")
return None
if __name__ == "__main__":
example_post_title = "Future-Proofing Your Career: AI Skills for 2025"
example_post_content = """
<p>As India's job market evolves, future-proofing your career means embracing AI.
This includes mastering prompt engineering, understanding machine learning basics,
and adapting to new AI-driven workflows.</p>
<p>Here's how to get started:</p>
<ul>
<li>Enroll in an AI fundamentals course.</li>
<li>Practice daily with generative AI tools like GPT-5.</li>
<li>Network with AI professionals in your field.</li>
</ul>
<p>The 448% surge in AI skills demand isn't just a number; it's a call to action.</p>
"""
example_categories = ["AI Jobs 2025", "Career Shift", "India Tech"]
example_tags = ["AI skills 2025", "career development", "prompt engineering", "India AI"]
print("Attempting to publish a new post...")
new_post_id = publish_wordpress_post(
example_post_title,
example_post_content,
categories=example_categories,
tags=example_tags
)
if new_post_id:
print(f"Check your WordPress dashboard for post ID: {new_post_id}")Attempting to publish a new post...
Successfully published post with ID: 12345
Check your WordPress dashboard for post ID: 12345Integration: You would chain this script with your content generation script. The generated markdown content can be converted to HTML (using libraries like markdown or mistune in Python) before being sent to WordPress.
Monetization Focus: Turning Automation into Income
The content you’re automating here isn’t just for traffic; it’s explicitly designed for monetization.
- Affiliate Revenue: Integrate links to AI courses, tools (e.g., a “best prompt engineering course for Indians”), cloud services, or hardware relevant to AI development. Your detailed tutorials become natural pre-sells.
- Digital Products: Package your Python scripts, LangChain flows, or refined prompt templates as premium downloads. The “India’s AI Job Shift” topic is perfect for e-books like “Reskilling for AI: A 90-Day Plan.”
- Sponsored Content: As your site gains authority on AI-related topics, AI education providers, software companies, and recruitment firms will be interested in sponsoring content or having you review their offerings.
- Ad Revenue: Standard display ads remain a viable option, especially with high traffic on niche topics.
- Consulting/Services: Your blog posts and automated content act as a living portfolio. You can easily transition from content creation to offering automation consulting for businesses trying to leverage AI for their own content or workflows.
Scaling and Maintenance in 2025
This isn’t a “set it and forget it” system, but it’s close.
- Content Calendar Automation: Use a simple script to schedule topics based on trend data and content gaps.
- Performance Monitoring: Integrate Google Analytics APIs (or similar) to track which automated posts perform best, informing your next content batch.
- AI for Updates: Periodically feed your older articles back into GPT-5 with a prompt like “Update this article for 2025, adding new tools and trends,” and automate the update process via XML-RPC.
The Future is Automated
India’s AI job shift is a microcosm of a global transformation. By understanding these macro trends and applying micro-level automation, solo content creators and developers can not only stay relevant but thrive. This isn’t just about efficiency; it’s about building a robust, scalable digital asset that generates real income based on real demand.
Start small, automate one step, then another. The 448% surge isn’t just a number; it’s your runway.
Further Reading & Tools:
- Pytrends GitHub: https://github.com/GeneralMills/pytrends
- SerpAPI Documentation: https://serpapi.com/
- LangChain Documentation: https://www.langchain.com/
- Hugging Face Transformers Library: https://huggingface.co/docs/transformers/index
- Python
xmlrpc.clientDocumentation: https://docs.python.org/3/library/xmlrpc.client.html - WordPress XML-RPC Handbook: https://developer.wordpress.org/xmlrpc/
- OpenAI API Documentation: https://platform.openai.com/docs/
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