Advanced Applications and Implications of AI and ML

Explore AI/ML in real-world industries, along with ethical, societal, and technical implications.

Advanced Applications and Implications of AI and ML showcase image
Track
New Collar
Level
Beginner
Language
English
Duration
30 hours
Learning Mode
Learn at ALC or at Home

Introduction

  • Describe the impact of AI on various sectors and its continuous evolution.
  • Identify the key components and milestones in the evolution of AI.
  • Discuss the significance of effective interaction between humans and AI systems.
  • Assess the advantages of integrating AI across diverse industries.
  • Explore strategies to foster collaboration and interaction between humans and AI.
  • Evaluate the balance between automated processes and human expertise in AI applications.

What you'll learn ?

  • By the end of the course, learners will be able to:
  • Articulate the growing impact of AI across various sectors.
  • Identifying key components and milestones in the evolution of AI.
  • Significance of effective human-AI interaction in technological advancements.
  • Assess and communicate the advantages of integrating AI in diverse industries.
  • Evaluate the equilibrium between automated processes and human expertise in AI applications.
  • Analyse and discuss the role of AI as a supportive tool in enhancing decision-making processes.

Syllabus

Overview of AI and its growing impact
  • Understanding AI and its evolution
  • Importance of Human-AI interaction
  • Benefits of AI integration in various sectors
  • Balancing automation and human expertise
  • AI as a supportive tool in decision-making
  • Fostering trust and understanding between ‘Humans’ and ‘AI’
  • Medical diagnostics and imaging
  • Drug discovery and development
  • Virtual health assistants
  • Enhancing fraud detection and risk management
  • Automated trading systems and market analysis
  • AI-Powered personalized financial advice
  • AI-driven market analysis and trends
  • Personalization in customer engagement
  • AI-powered digital advertising
  • Personalized learning platforms
  • Ai-driven tutoring and assessment
  • Adaptive educational content
  • Automation and robotics
  • Predictive maintenance
  • Quality control and inspection
  • Personalized shopping experience with AI recommendations
  • AI-driven design and trend prediction
  • Supply chain optimization and inventory management
  • Precision farming and crop monitoring
  • AI-based pest and disease detection
  • Smart irrigation and yield prediction
  • Content recommendation systems
  • AI-generated art and music
  • Virtual reality and augmented reality experiences
  • Climate Modelling and prediction
  • Smart grids and energy management
  • Conservation and wildlife monitoring

Work-Centric Approach

The academic approach of the course focuses on ‘work-centric’ education. With this hands-on approach, derive knowledge from and while working to make it more wholesome, delightful and useful. The ultimate objective is to empower learners to also engage in socially useful and productive work. It aims at bringing learners closer to their rewarding careers as well as to the development of the community.

  • Step 1: Learners are given an overview of the course and its connection to life and work
  • Step 2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
  • Step 3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
  • Step 4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
  • Step 5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
  • Step 6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
  • Step 7: Learners are engaged in appreciation of real-life case studies developed by the experts.
  • Step 8: Learners are encouraged to proceed from appreciation to imitation of the experts.
  • Step 9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
  • Step 10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
  • Step 11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
  • Step 12: Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!