Page 13 - Artificial Intellegence_v2.0_Class_12
P. 13

Duration
               Unit         Different aspects of Model    Topics                                    10 hours to
                 MODEL LIFECYCLE (KNOWLEDGE)              Lifecycle of an AI model
                                                                                                    complete basic
                         o  Train, test, validate,
                                                                                                    levels.
                         o  What are hyper parameters
                         o  Commonly used platforms to build and run models (Introduction)
                         o  Recommended tools
                         o  Links to different platforms
                            Watson
                         o
                         o  Build
                         o  Deploy

                         o  Retrain

                         The Need for Storytelling                                                   15 hours to
                         o  Information processing and recalling stories                             complete basic
                         o  Why is storytelling important?                                           levels.
                         o  Structure that story!
                         How to create stories?
                         o  Begin with a pen-paper approach
                         o  Dig deeper to identify the sole purpose of your story
                         o  Use powerful headings
                         o  Design a Road-Map
                            Ethics of storytelling
                         o  Conclude with brevity
                STORY-TELLING THROUGH DATA  (CRITICAL AND CREATIVE THINKING SKILLS)              Stories During the Steps of Predictive Modeling
                         Types of Data and Suitable Charts
                         o  Text [Wordclouds]
                         o  Mixed [Facet Grids]
                         o  Numeric [Line Charts/ Bar Charts]
                         o  Stocks [Candlestick Charts]
                         o  Geographic [Maps]


                         o  Data Exploration
                         o  Feature Visualizing


                         o  Model Creation

                         o  Model Comparisons
                         Best Practices of Storytelling
                         Reference Material /Online Resources:
                         o  Analytics Vidhya
                           (https://www.analyticsvidhya.com/blog/2020/05/artstorytelling-analytics-data-science/)
                         o  Udemy:
                           (https://www.udemy.com/course/tell-a-story-with-data/)
                         o  Coursera:
                           (https://www.coursera.org/learn/intro-business-analytics)
                         o  Coursera:
                           (https://www.coursera.org/learn/communicate-withimpact)                   30 hours
                      Student capstone project development
               STUDENT PROJECT     WORK   (PRACTICAL)    Students to form teams and work on developing an AI based project
                         Resources like the AI Project Guide and AI Project Log Book to be used












                                                             (xi)
   8   9   10   11   12   13   14   15   16   17   18