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AI & AUTOMATIONS FOR BEGINNERS: HOW TO LEARN AI
“AI & Automation for Beginners” is a comprehensive and accessible guide for anyone interested in understanding Artificial Intelligence (AI), automation, and their growing impact on modern life. Tailored for beginners, the book breaks down complex concepts into easy-to-understand insights and practical applications. It covers everything from the basics of AI and automation to their real-world uses, ethical considerations, and tools for getting started.
Introduction to AI and The book opens by demystifying Artificial Intelligence and automation. AI is described as the simulation of human intelligence in machines that can learn, adapt, and perform cognitive tasks. It includes technologies like machine learning, natural language processing, and robotics. Automation, in contrast, refers to technologies that perform repetitive tasks with minimal human input. While automation follows set rules, AI brings adaptability and learning into the mix. Together, AI and automation are revolutionizing sectors such as healthcare, finance, manufacturing, and customer service—improving efficiency, cutting costs, and enabling innovation.
AI in the Modern AI is now deeply integrated into daily life. Virtual assistants (like Siri and Alexa), personalized content recommendations (Netflix, Spotify), chatbots, and smart home devices are all examples. Beyond convenience, AI helps solve global challenges—from predicting climate change patterns to enhancing food security and healthcare access. AI is also boosting productivity in sectors such as education (adaptive learning tools), marketing (customer segmentation), and transportation (autonomous vehicles). It’s a driving force behind innovation, economic growth, and making technology more accessible to non-experts.
Foundations of ML, NN, and Machine Learning (ML): The process where machines learn from data and improve over time. It includes supervised, unsupervised, and reinforcement learning.
Neural Networks (NN): Algorithms inspired by the human brain that process and learn from complex data structures.
Natural Language Processing (NLP): Enables machines to understand, interpret, and generate human language—essential for tools like ChatGPT and translation services.Automation Automation is explored in its various
Robotic Process Automation (RPA): Software bots performing repetitive digital tasks.
Workflow Streamlining processes like project management or order approvals.
Intelligent Automation (IA): Combines AI with automation to make data-driven decisions.
Business Process Automation (BPA): End-to-end automation of business functions like HR and finance.
AI-Driven Uses AI to optimize complex tasks with predictive analytics and computer vision.
Real-Life
The eBook highlights how automation and AI are transforming both business operations and personal
In Invoice processing, customer service, project management, supply chains, and marketing are now increasingly automated.
In Personal Smart homes, fitness trackers, finance apps, and food delivery platforms use AI to improve convenience, health, and budgeting.
Automation enhances productivity, supports better decision-making, and personalizes experiences.
Introduction to AI and The book opens by demystifying Artificial Intelligence and automation. AI is described as the simulation of human intelligence in machines that can learn, adapt, and perform cognitive tasks. It includes technologies like machine learning, natural language processing, and robotics. Automation, in contrast, refers to technologies that perform repetitive tasks with minimal human input. While automation follows set rules, AI brings adaptability and learning into the mix. Together, AI and automation are revolutionizing sectors such as healthcare, finance, manufacturing, and customer service—improving efficiency, cutting costs, and enabling innovation.
AI in the Modern AI is now deeply integrated into daily life. Virtual assistants (like Siri and Alexa), personalized content recommendations (Netflix, Spotify), chatbots, and smart home devices are all examples. Beyond convenience, AI helps solve global challenges—from predicting climate change patterns to enhancing food security and healthcare access. AI is also boosting productivity in sectors such as education (adaptive learning tools), marketing (customer segmentation), and transportation (autonomous vehicles). It’s a driving force behind innovation, economic growth, and making technology more accessible to non-experts.
Foundations of ML, NN, and Machine Learning (ML): The process where machines learn from data and improve over time. It includes supervised, unsupervised, and reinforcement learning.
Neural Networks (NN): Algorithms inspired by the human brain that process and learn from complex data structures.
Natural Language Processing (NLP): Enables machines to understand, interpret, and generate human language—essential for tools like ChatGPT and translation services.Automation Automation is explored in its various
Robotic Process Automation (RPA): Software bots performing repetitive digital tasks.
Workflow Streamlining processes like project management or order approvals.
Intelligent Automation (IA): Combines AI with automation to make data-driven decisions.
Business Process Automation (BPA): End-to-end automation of business functions like HR and finance.
AI-Driven Uses AI to optimize complex tasks with predictive analytics and computer vision.
Real-Life
The eBook highlights how automation and AI are transforming both business operations and personal
In Invoice processing, customer service, project management, supply chains, and marketing are now increasingly automated.
In Personal Smart homes, fitness trackers, finance apps, and food delivery platforms use AI to improve convenience, health, and budgeting.
Automation enhances productivity, supports better decision-making, and personalizes experiences.
Kindle Edition
Published August 23, 2025
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