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Course Highlights

  • Build Your Tech Literacy: Gain a clear, non-technical understanding of how Artificial Intelligence (AI) and Big Data Analytics actually work in a business context.
  • Explore Practical AI Tools: Get familiar with how Generative AI tools such as ChatGPT, Jasper AI, and Tome AI can assist with everyday tasks such as resume writing and professional presentations.
  • Understand Data and Visualisation: Learn the advantages of Big Data Analytics and discover the tools used to visualise complex information for better decision-making.
  • Navigate Ethics and Safety: Learn the essentials of "Responsible AI", focusing on transparency, ethics, and how to stay safe from cyber theft and unsafe online behaviour.
  • Demystify the Cloud: Understand the role of Cloud Computing and Digital Infrastructure in modern workplaces without getting bogged down in the coding side.
  • Apply Creative Problem-solving: Use "Design Thinking" and the PDSA model to approach workplace challenges with fresh, innovative techniques.
  • Enhance Professional Skills: Develop the "human" side of work through emotional intelligence, collaboration, and learning how to influence and negotiate effectively.
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  • Course Duration

  • Domain

  • GOI Incentive applicable

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  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

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  • NOS Details

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Course Details

Learning Objectives

What will you learn in the DAF Workplace Applications Course?

  • AI and Data Literacy: Explain the fundamentals of Artificial Intelligence and Big Data Analytics and their modern business applications.
  • Responsible Technology Use: Identify the principles of Trustworthy AI, transparency, and global regulations.
  • Digital Foundations: Gain an overview of Cloud Computing and Cybersecurity, including how to report unsafe online behaviour.
  • Innovative Problem-solving: Apply design thinking techniques, mind mapping, and the PDSA model to solve creative challenges.
  • Professional Effectiveness: Develop high-level skills in emotional intelligence, collaboration, and influencing techniques.
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Reasons to enrol

Why should you take the DAF Workplace Applications Course?

  • Bridge the Skills Gap: Move from being a "user" of technology to someone who understands its professional applications and risks.
  • Practical Productivity: Learn to use GenAI for real-world tasks such as resume writing, professional presentations, and advanced excel functions.
  • Stay Safe and Ethical: Gain the knowledge to navigate Cybersecurity threats and ensure the ethical use of AI in your future workplace.
  • Career Readiness: A unique 30-hour curriculum that combines digital infrastructure knowledge with professional effectiveness.
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Ideal Participants

Who should take the DAF Workplace Applications Course?

  • Non-STEM Students: Students from Arts, Commerce, or Humanities looking to understand technology without a deep technical or coding background.
  • Aspiring Professionals: Anyone aiming to enter the corporate workforce who needs a working knowledge of AI, Cloud, and Data.
  • Continuous Learners: Individuals who want to modernise their skillset with the latest Generative AI tools such as ChatGPT and Jasper AI.
  • Future Leaders: Those looking to balance tech fluency with critical "human" skills such as Emotional Intelligence and Negotiation.
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Curriculum

Curriculum

Module 1: AI, Data and Responsible Technology

  • An Overview of Artificial Intelligence
  • Applications of Artificial Intelligence
  • Introduction to Generative AI
  • AI Writing Tool: Jasper AI
  • Using GenAI Effectively: Resume Writing
  • Tome AI: Generative AI for Presentations
  • ChatGPT for Excel
  • An Overview of Big Data Analytics
  • Applications of Big Data Analytics
  • Big Data Visualisation: Advantages and Tools
  • Responsible AI (RAI)
  • Applications of Responsible AI
  • AI Transparency
  • Trustworthy AI
  • Ethical AI Design Principles
  • Case Studies for Responsible AI
  • Global AI Regulation

Module 2: Cloud, Cybersecurity and Digital Infrastructure

  • An Overview of Cloud Computing
  • Applications of Cloud Computing
  • Cloud Computing for Design or Simulation Activities
  • Content as a Service (CaaS)
  • An Overview of Cybersecurity
  • Identify Cyber Theft
  • Applications of Cybersecurity
  • Reporting Platforms for Unsafe Online Behaviour

Module 3: Innovation, Collaboration and Professional Effectiveness

  • Importance and Benefits of Collaboration and Teamwork
  • Emotional Intelligence
  • Getting Started with Innovation and Design Thinking
  • Approaches and Techniques to Innovation and Design Thinking
  • Plan-Do-Study-Act (PDSA) Model
  • 5-Why Method, Flowchart and Mind map for Creative Problem-solving
  • Getting the Best out of Influencing and Negotiation
  • Utilising Influencing and Negotiation to Enhance Individual Performance
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skills and tools

Tools you will learn in the DAF Workplace Applications Course

  • Generative AI Tools: Jasper AI (writing), Tome AI (presentations), and ChatGPT (workflow and Excel).
  • Data Visualisation: Understanding tools and advantages for visualising Big Data Analytics.
  • Creative Frameworks: 5-Why Method, Mindmapping, and Flowcharting for structured problem-solving.
  • Operational Models: The Plan-Do-Study-Act (PDSA) model for continuous improvement and innovation.
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