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Artificial Intelligence Intermediate: Exploring AI Types
Rating: 4.4 out of 5(103 ratings)
338 students

Artificial Intelligence Intermediate: Exploring AI Types

Explore the diverse applications of Artificial Intelligence, from process automation to Generative AI.
Created bySimon Sez IT
Last updated 4/2026
English

What you'll learn

  • Define key concepts of Artificial Intelligence (AI).
  • Identify the 7 Patterns of AI and their applications.
  • Apply machine learning frameworks for practical solutions.
  • Analyze a real-world AI marketing case study.
  • Explain the concept of Generative AI and its applications.
  • Create generative text using AI techniques.
  • Develop basic coding skills for Generative AI and chatbots.
  • Evaluate implementations of Generative AI in autonomous agents.

Course content

4 sections • 24 lectures • 3h 6m total length

  • Introduction4:59
  • READ ME: Essential Information for a Successful Training Experience0:55
  • What is AI? (Part 1)11:36

    Explore the core of artificial intelligence, including machine learning and deep learning, neural networks, and applications like speech recognition, computer vision, and language translation, with emphasis on reasoning and explainability.

  • What is AI? (Part 2)11:58

    Explore large language models and generative AI tools, their self-supervised training on vast text data, and applications in NLP, speech recognition, translation, image generation, and visual search.

  • Process Automation6:38

    Automate business processes with RPA and AIOps, and use natural language processing, machine learning, and chatbots to gain insights and engage customers.

  • Cognitive Insight and Engagement, Conversational AI, and Digital Twins10:29

    Explore cognitive insight and cognitive engagement powered by deep learning to analyze data and predict outcomes with recommendations. See how conversational AI and digital twins drive extreme personalization across industries.

  • The 7 Patterns of AI8:48
  • Machine Learning Frameworks - Part 110:45

    Explore how machine learning frameworks democratize development, enabling developers to build and deploy models faster, securely scale enterprise machine learning efforts, and streamline the machine learning life cycle.

  • Machine Learning Frameworks - Part 210:02

    Explore major machine learning frameworks, including PyTorch, Torch, Theano, Scikit-learn, Spark MLlib, and TensorFlow, and how they speed research, prototyping, and deployment across NLP, computer vision, and more.

  • AI Marketing Case Study - Part 110:16

    Explore how AI types power marketing across customer lifecycle, using the race framework with reach, act, convert, engage, and tools like propensity modeling, ML, predictive analytics, and AI content creation.

  • AI Marketing Case Study - Part 126:08

    Explore how predictive customer service uses data, AI, and machine learning to anticipate issues and prevent churn, then personalize 1-to-1 emails and multi-channel campaigns with propensity models.

  • Section Quiz

Requirements

  • A basic understanding of artificial intelligence is beneficial as this is an intermediate course.

Description

Welcome to "Artificial Intelligence Intermediate: Exploring AI Types, Patterns, and Implementations." In this course, you will delve into the fascinating world of Artificial Intelligence (AI), understanding its fundamental concepts, diverse applications, and real-world implications.


Through comprehensive modules, you will explore the essence of AI, its role in process automation, cognitive insight, engagement, conversational AI, and digital twins. As we explore the 7 Patterns of AI, you'll gain insights into machine learning frameworks and unravel a captivating AI marketing case study.


The course seamlessly transitions to the world of Generative AI, its definition, and its applications. You will explore the intricacies of generating text, coding, and chatbots and dive into 3-D systems and animation. Furthermore, the course will guide you through implementing Generative AI in autonomous agents, providing a holistic understanding of its capabilities.


The course includes exercises, allowing you to apply your acquired knowledge and enhance your learning experience. By the end of the course, you should have a profound understanding of AI types, patterns, and implementations and equipped with practical skills ready for real-world applications. Join us in this AI journey to unlock the potential of technology and expand your horizons.


After taking this course, students will be able to:

  • Define key concepts of Artificial Intelligence (AI).

  • Identify the 7 Patterns of AI and their applications.

  • Apply machine learning frameworks for practical solutions.

  • Analyze a real-world AI marketing case study.

  • Explain the concept of Generative AI and its applications.

  • Create generative text using AI techniques.

  • Develop basic coding skills for Generative AI and chatbots.

  • Evaluate implementations of Generative AI in autonomous agents.


This course includes:

  1. 2+ hours of video tutorials

  2. 21 individual video lectures

  3. Certificate of completion

Who this course is for:

  • Those who want to have a deeper understanding of AI types, patterns, and implementations.
  • Those who want to learn the applications of Generative AI.

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