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AI Skill For The Future

The "AI Skill For The Future" course is a comprehensive program designed to equip learners with the essential knowledge and practical skills needed to thrive in an AI-driven world. This course recognizes that the future of work isn't about competing with artificial intelligence, but about learning to grow alongside it.

InstructorQasim Raza
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Lectures0
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LanguageUrdu
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Free preview1 lecture

📋 Course Outline

68 topics jo aap seekhenge
Module 1
  • 1 Module 1: AI Foundations & Literacy
  • 2 Learning Hours: 10 hours
  • 3 Topics Covered:
  • 4 What is Artificial Intelligence? Definitions and key concepts
  • 5 History and evolution of AI
Module 2
  • 6 Common AI applications in daily life and industry
  • 7 Understanding Large Language Models (LLMs) and how tools like ChatGPT work
  • 8 Distinguishing between AI myths and realities
  • 9 AI and Machine Learning fundamentals
  • 10 The role of data in AI systems
Module 3
  • 11 Learning Outcomes:
  • 12 Define AI and related technical terms
  • 13 Recognize AI applications across different sectors
  • 14 Understand how AI systems perceive, make decisions, and act
  • 15 Module 2: AI Tools & Practical Application
Module 4
  • 16 Learning Hours: 12 hours
  • 17 Topics Covered:
  • 18 Overview of popular AI tools and platforms
  • 19 Practical use of AI for simple tasks
  • 20 Prompt engineering: developing effective prompting techniques
Module 5
  • 21 Crafting prompts with context, specificity, and desired output formats
  • 22 Comparing results from AI and manual methods
  • 23 Incorporating AI tools into workflows
  • 24 Understanding the benefits and drawbacks of AI assistance
  • 25 Learning Outcomes:
Module 6
  • 26 Use AI tools effectively for real-world applications
  • 27 Adapt AI outputs for specific needs
  • 28 Optimize human-AI collaboration
  • 29 Module 3: Critical Thinking & AI Evaluation
  • 30 Learning Hours: 8 hours
Module 7
  • 31 Topics Covered:
  • 32 Recognizing limitations of AI systems
  • 33 Questioning AI-generated outputs
  • 34 Identifying factors that influence AI results
  • 35 Evaluating AI-generated content for accuracy and reliability
Module 8
  • 36 Assessing the validity of AI-generated information
  • 37 Synthesizing multiple perspectives when evaluating AI
  • 38 Learning Outcomes:
  • 39 Apply evaluation criteria to AI outputs
  • 40 Detect potential biases in AI systems
Module 9
  • 41 Know when human judgment should override the algorithm
  • 42 Module 4: AI Ethics & Responsible Use
  • 43 Learning Hours: 8 hours
  • 44 Topics Covered:
  • 45 Core ethical concepts in AI
Module 10
  • 46 Recognizing bias in AI systems
  • 47 Data privacy and security concerns in AI
  • 48 Academic and professional integrity with AI
  • 49 Avoiding plagiarism and properly citing AI-assisted work
  • 50 Copyright, authorship, and ownership in the age of AI
Module 11
  • 51 Responsible and ethical AI use framework
  • 52 Learning Outcomes:
  • 53 Apply ethical reasoning to AI scenarios
  • 54 Analyze privacy implications of AI systems
  • 55 Understand how to use AI responsibly and ethically
Module 12
  • 56 Module 5: AI & The Future of Work
  • 57 Learning Hours: 6 hours
  • 58 Topics Covered:
  • 59 How AI is reshaping careers and the job market
  • 60 Understanding the "AI-enhanced worker" concept
Module 13
  • 61 The importance of human skills: critical thinking, creativity, emotional intelligence, adaptability
  • 62 AI's impact on entry-level roles and career pathways
  • 63 Strategies for continuous learning and career growth
  • 64 Learning Outcomes:
  • 65 Identify how AI is transforming industries
Module 14
  • 66 Understand the skills employers are prioritizing
  • 67 Develop a personal AI upskilling strategy
  • 68 Recognize the importance of lifelong learning in the AI era

Course content

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