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Introduction to Generative AI

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About the Course

This course provides a foundational understanding of Generative AI, focusing on how models create new data (e.g., text, images, and audio) and its applications across industries. Participants will learn key concepts, prompting techniques, and ethical considerations, gaining practical experience with tools to apply Generative AI in data-driven roles.

Curriculum

  • Module 1: Introduction to Generative AI
    DESCRIPTION

    Overview:

    This module introduces the basics of Generative AI, its significance, and how it’s transforming industries. Participants will get an overview of different generative models and their capabilities.

    Topics to Cover:

    • Fundamentals of Generative AI and types of generative models
    • Overview of text, image, and audio generation
    • Applications across industries: content creation, customer service, data augmentation

  • Module 2: Demystifying AI
    DESCRIPTION

    Overview:

    Participants will delve into the foundational elements of AI and ML, understanding how these technologies support generative models. This module provides a clear understanding of concepts like neural networks, training data, and model training.

    Topics to Cover:

    • Basics of AI and machine learning concepts
    • Overview of neural networks and deep learning
    • How generative models are trained and refined

  • Module 3: Prompt Engineering
    DESCRIPTION

    Overview:

    This module focuses on prompt engineering, a crucial skill for working with large language models (LLMs) like GPT. Participants will learn strategies to guide AI models effectively to generate meaningful content.

    Topics to Cover:

    • Introduction to prompt engineering and its importance
    • Crafting effective prompts for text, images, and code
    • Practical exercises: optimizing prompts for desired outputs

  • Module 4: Use Cases and AI Ethics
    DESCRIPTION

    Overview:

    This module explores practical applications and key ethical concerns around Generative AI. Participants will discuss real-world case studies and learn how to balance innovation with responsible use.

    Topics to Cover:

    • Real-world applications in marketing, content creation, customer support, and more
    • Ethical considerations: bias, misinformation, privacy
    • Best practices for responsible AI use and deployment

  • Module 5: Generative AI for Data Professionals
    DESCRIPTION

    Overview:

    Tailored for data professionals, this module covers how Generative AI can enhance data workflows, including data augmentation, report automation, and AI-driven insights.

    Topics to Cover:

    • Using AI for data augmentation and synthetic data generation
    • Automating reporting and dashboarding with Generative AI
    • Generative AI for exploratory data analysis and insights

  • Module 6: Real-World Applications and Project
    DESCRIPTION

    Overview:

    In this capstone module, participants will apply their knowledge to a hands-on project, choosing a use case to implement Generative AI. This project allows participants to demonstrate their skills and gain real-world experience.

    Topics to Cover:

    • Project planning: defining a project scope and selecting a generative model or tool
    • Implementation: using tools like GPT-4, DALL-E, or Stable Diffusion for content generation
    • Evaluation and presentation of project outcomes

Learning Outcomes

By the end of this course, participants will be able to:

  • Understand foundational concepts and applications of Generative AI.
  • Use Generative AI tools for generating text, images, and data-driven content.
  • Apply prompt engineering techniques to optimize AI outputs.
  • Recognize ethical considerations in deploying AI solutions.
  • Implement a Generative AI project relevant to data workflows, demonstrating practical skills in content creation.

Tools

Generative AI platforms: GPT-4, DALL-E
Prompt engineering tools
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I had an incredible experience at this data science bootcamp! Coming in with no prior knowledge, I was amazed at how quickly I gained a solid understanding of the field. The curriculum is intensive and hands-on, allowing me to learn real, applicable skills through working on real client projects. The staff are exceptionally supportive and always ready to help. This bootcamp truly transformed my career path, and I couldn’t be more grateful for the knowledge and confidence I’ve gained. Highly recommended for anyone looking to break into data science!

My experience was awesome. I was taught by professional data engineers who shared their insights based on their professional experience. The topics covered are relevant to what employers are looking for and I enjoyed hands-on projects. I learned all the skills I needed to be a data engineer and I got a full-time offer as a data engineer, thanks to the mentors from WecloudData. I highly recommend this program. I was able to land interviews at Amazon, Yelp, CI Financial e.t.c

Deciding to go with WeCloudData was one of the best decisions I made during my career switch. Their Bootcamps are intense but they get you where you need to go. The instructors are amazing and the TAs very knowledgeable. Their client projects taught me a lot even after the bootcamp was done. I was able to land my current job thanks to the skills and training from the course.

I had the pleasure of attending WeCloudData’s Data Fundamentals bootcamp, which was fantastic. The highly qualified instructors used cutting-edge teaching techniques that greatly facilitated understanding the logic of coding and programming. They carefully progressed us from fundamental to more complex subjects, avoiding any feeling of overload. I wholeheartedly endorse this course for anyone hoping to become a data analyst—it’stheonly one you’ll need. The teachers are very outstanding!

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FAQ

Frequently asked questions about the bootcamp

The course is structured into weekly modules, each containing video lectures, reading materials, assignments, and quizzes. You can complete the modules at your own pace, but we recommend following the weekly schedule to stay on track.

You can get support in multiple ways:

  • TA Support on Slack: Our teaching assistants are available on Slack to answer your questions and provide guidance.
  • Peer Community on Discord: Join our Discord community to discuss course topics, share ideas, and collaborate with fellow students.

TAs are available on Slack from 9 AM to 6 PM (ET) Monday to Friday. Outside these hours, you can still post your questions, and TAs will respond as soon as they are back online.

After enrolling in the course, you will receive an invitation link to join the Discord community. Follow the link to create an account or log in to your existing account.

The Discord community offers peer-to-peer support, where you can discuss course topics, share resources, collaborate on projects, and network with fellow learners

The optional mentoring service includes one-on-one sessions with an experienced mentor who can provide personalized guidance, feedback on your progress, and help you set and achieve your learning goals.

Please talk to our Program Advisors to sign up for Mentorship services for an additional cost

Yes, you will have lifetime access to the course materials, including any updates made to the content in the future.

We accept all major credit cards, PayPal, and bank transfers. You can choose your preferred payment method at checkout

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