Join us for a FREE hands-on Meetup webinar on Streamlining Machine Learning Pipelines using Vertex AI | Sat, JUL 27 · 7:00 PM IST Join us for a FREE hands-on Meetup webinar on Streamlining Machine Learning Pipelines using Vertex AI | Sat, JUL 27 · 7:00 PM IST
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AI for Improving Productivity

Leveraging Artificial Intelligence to Enhance Efficiency and Optimize Workflows


2 Days (8 hours per day)


Basic Level

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As per your team needs

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This course is designed to help users enhance their day-to-day productivity at work by leveraging AI tools and technologies. Participants will learn how to integrate AI into their workflows, automate repetitive tasks, and utilize AI-driven insights to make informed decisions. The course is structured to provide both theoretical knowledge and practical skills through hands-on activities and real-world examples. 

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  • Professionals keen to enhance their productivity
  • Managers looking to streamline their team’s workflow
  • Entrepreneurs aiming to optimize their business operations
  • Anyone interested in leveraging AI for personal or professional efficiency
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  • Understanding AI Basics
    • Definition and types of AI
    • History and evolution of AI
    • Key AI technologies and their applications
  • AI in the Workplace
    • Overview of AI tools for productivity
    • Case studies of AI enhancing workplace efficiency
    • Future trends in AI and productivity
  • Ethics and AI
    • Ethical considerations in AI usage
    • Data privacy and security concerns
    • Responsible AI practices
  • Measuring AI Impact
    • Key performance indicators for AI productivity tools
    • Methods to evaluate the effectiveness of AI implementations
    • Continuous improvement through feedback loops
  • Introduction to Automation
    • Definition and benefits of automation
    • Common tasks suitable for automation
  • AI-Powered Automation Tools
    • Overview of tools like Chat DiD, Copilot, and Compose AI
    • Case studies of automation in action
  • Creating Automation Workflows
    • Step-by-step guide to building automation workflows
    • Best practices for designing effective automation
  • Managing Automated Systems
    • Monitoring and maintaining automation processes
    • Troubleshooting common issues
    • Scaling automation efforts
  • AI in Communication
    • How AI can improve internal and external communication
    • Overview of AI communication tools (e.g., Chat D-ID, Claude AI)
  • Virtual Assistants and Chatbots
    • Setting up and using virtual assistants (e.g., Google Assistant, Siri)
    • Designing and deploying chatbots for customer support
  • AI for Email Management
    • Tools for automating email responses and sorting (e.g., Compose AI)
    • Best practices for managing email overload
  • AI for Meeting Efficiency
    • Tools for scheduling and transcribing meetings (e.g., YouTube Transcript, D-ID)
    • Enhancing virtual meetings with AI – Summarize (e.g., Claude AI, Humata AI) and Take notes
  • Content Creation and Management
    • Using AI to create and curate content (e.g., Simplified, InVideo)
    • Automating content distribution and analysis
  • Introduction to Data-Driven Decision Making
    • Importance of data in productivity
    • Role of AI in data analysis
  • AI Tools for Data Analysis
    • Overview of tools like Feedly, Humata AI
    • Case studies of AI-driven insights
  • Collecting and Preparing Data
    • Methods for data collection and cleaning
    • Ensuring data quality and integrity
  • Analyzing Data with AI
    • Basic data analysis techniques
    • Using AI for advanced analytics (e.g., predictive modeling)
  • Visualizing Data
    • Creating compelling data visualizations
    • Best practices for presenting data-driven insights
  • Personal Task Management
    • Using AI to prioritize and manage tasks (e.g., Todoist, Trello)
    • Tools for goal setting and tracking
  • Time Management with AI
    • Tools for tracking and optimizing time usage (e.g., RescueTime, Clockify)
    • Techniques for improving time management
  • AI for Learning and Development
    • Personalized learning platforms (e.g., Coursera, Duolingo)
    • Using AI to develop new skills and knowledge
  • Health and Well-being
    • AI tools for mental and physical health (e.g., Headspace, Fitbit)
    • Balancing productivity and well-being
  • Future-Proofing Your Skills
    • Keeping up with AI advancements
    • Continuous learning and adaptation strategies
  • Presentation and Content Creation
    • Tools for creating presentations (e.g., Pitch,
    • AI content generation (e.g., Simplified, InVideo)
  • Summarization and Transcription
    • Summarizing articles and books (e.g., Claude AI, Humata AI)
    • Transcribing videos and audio (e.g., YouTube Transcript, D-ID)
  • Creative AI Tools
    • Image creation (e.g., MidJourney)
    • Music creation (e.g., Uberduck)
  • Professional Development
    • Resume creation (e.g.,
    • LinkedIn AI Tool
    • Portfolio building and job search optimization
  • Coding and Development
    • Code-to-website conversion (e.g., PHCode)
    • Utilizing AI for software development tasks
  • Introduction to Prompt Engineering
    • Definition and importance of prompt engineering
    • How prompts influence AI outputs
  • Crafting Effective Prompts
    • Techniques for writing clear and effective prompts
    • Examples of good vs. bad prompts
  • Advanced Prompt Strategies
    • Tailoring prompts for specific AI tools (e.g., ChatGPT, MidJourney)
    • Iterative prompt refinement
  • Prompt Engineering for Automation
    • Using prompts to enhance automation workflows
    • Best practices for prompt management
  • Hands-On Prompt Engineering
    • Practical exercises in crafting and refining prompts
    • Case studies of successful prompt engineering applications
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  • Basic understanding of computer operations
  • Familiarity with common workplace software (e.g. Microsoft Office, Google Workspace)
  • No prior knowledge of AI is required


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