GenAI Study Jam '24

CIS Classroom, Uli Campus, Uli, 431117

GDG on Campus Chukwuemeka Odumegwu Ojukwu University - Anambra, Nigeria

Join us for the GenAI Study Jam, a hands-on workshop where you'll learn to build your own Generative AI models using cutting-edge Google tools like Gemini and Vertex AI. Whether you're a beginner or experienced, this event is designed to help you unlock the power of AI with practical skills, expert guidance, and collaborative learning. Don’t miss this opportunity to dive into the world of AI!

Dec 13, 2024, 12:00 – 5:00 PM (UTC)

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Key Themes

AIBuild with AICertification Study GroupGeminiGemmaMachine LearningVertex AIWeb

About this event

Welcome to the GenAI Study Jam, a transformative and immersive workshop experience where you’ll dive into the exciting world of Generative Artificial Intelligence (GenAI) using cutting-edge tools from Google, including Gemini, Vertex AI, and other powerful AI platforms. This event is designed to provide hands-on, practical learning experiences for individuals of all skill levels—whether you’re just starting with AI or you’re an advanced user looking to expand your expertise.

At the GenAI Study Jam, you will be introduced to the fundamental concepts of Generative AI, including natural language processing, machine learning models, neural networks, and much more. The event is designed to offer an in-depth exploration of the tools, techniques, and frameworks used to build, train, and deploy AI models that generate creative and meaningful content. Whether you're interested in text generation, image creation, or other forms of AI-driven creativity, this workshop will equip you with the skills and knowledge to get started.

Why Attend the GenAI Study Jam?

Hands-On Learning

The primary focus of this workshop is on practical learning. Rather than just listening to lectures or watching tutorials, you’ll engage in building AI models yourself. This hands-on approach ensures that you gain the necessary skills to work with AI tools confidently and effectively.

Learn Google’s Advanced AI Tools

The event features Google's powerful AI tools, Gemini and Vertex AI, which are widely recognized for their capabilities in creating and deploying AI models. You’ll receive step-by-step guidance on how to use these tools to build your own projects from scratch. These tools offer flexibility and scalability, making them ideal for both beginners and experienced developers.

Networking and Collaboration

The GenAI Study Jam is not just a workshop—it’s an opportunity to connect with like-minded individuals, share ideas, and collaborate on exciting AI projects. You’ll be working in small groups, allowing you to network with fellow attendees, exchange insights, and learn from each other’s experiences.

Expert Guidance

Throughout the event, you’ll receive support from industry experts and AI practitioners who will guide you through each step of the process. Whether you have questions about model architecture, coding techniques, or deployment strategies, our experienced instructors will be available to provide personalized assistance and advice.

Real-World Applications

One of the key takeaways from the GenAI Study Jam is the practical application of AI in real-world scenarios. You’ll learn how to use AI to solve problems and generate value, whether you’re interested in creating chatbots, content generation systems, recommendation engines, or any other AI-driven solution.

Post-Event Resources

After the workshop, you’ll have access to additional learning materials, tutorials, and resources to help you continue developing your AI skills. The tools and techniques covered during the event will lay the foundation for your ongoing learning journey in the field of AI and machine learning.

What Will You Learn?

By attending the GenAI Study Jam, you’ll gain a thorough understanding of the following concepts and technologies:

Introduction to Generative AI

Understand the core principles of Generative AI and its applications in different fields, including content creation, data augmentation, and problem-solving.

Understanding Google’s AI Tools

Get hands-on experience with Gemini and Vertex AI, two of Google’s most powerful AI platforms, and learn how to use them for building, training, and deploying AI models.

Building AI Models from Scratch

Learn how to design and train custom AI models for various use cases, including text generation, image recognition, and more.

Ethical AI Practices

Explore the ethical considerations of working with AI, including data privacy, bias in AI models, and how to ensure your AI solutions are ethical and responsible.

Deploying AI Models

Gain practical knowledge of deploying AI models into production environments, including integration with existing systems and performance monitoring.

Collaborative AI Projects

Work on collaborative AI projects with fellow attendees, where you’ll apply your learning to solve real-world challenges using Generative AI.

Event Schedule

The GenAI Study Jam will run over the course of several hours and will include the following sessions:

Introduction to Generative AI – A session that covers the basics of AI, its evolution, and its impact on various industries.

Google’s AI Tools: Gemini & Vertex AI – A deep dive into Google’s powerful AI tools, showcasing their capabilities and how they can be used to build advanced AI models.

Hands-On Development – Guided exercises where you will build your first AI model using the tools learned.

AI Ethics & Responsible AI – A session focused on understanding the ethical challenges in AI development and how to create responsible AI systems.

Group Collaboration – Breakout sessions where you’ll collaborate with peers to create your own AI projects and solutions.

Q&A and Troubleshooting – A chance for attendees to ask questions, share challenges, and get expert advice on overcoming obstacles during the development process.

AI Deployment & Beyond – Learn how to deploy your AI models and integrate them into real-world applications.

Networking & Closing – Final networking session to connect with other participants, share insights, and discuss future opportunities in AI.

Who Should Attend?

The GenAI Study Jam is designed for anyone interested in AI and machine learning, including:

Beginners who are new to AI and want to understand the fundamentals and tools used in building AI models.

Intermediate and Advanced Users who want to enhance their skills in using Google’s AI tools and working on more complex AI projects.

Students and Researchers who are exploring the potential of Generative AI for academic or research purposes.

Developers and Professionals who are looking to integrate AI into their applications or products.

Entrepreneurs and Innovators who want to leverage AI to build new businesses or improve existing processes.

AI Enthusiasts who are passionate about learning and staying ahead in the rapidly evolving field of AI.

Why You Should Not Miss This Event

In today’s world, AI is shaping the future of every industry, from healthcare and finance to entertainment and education. The GenAI Study Jam provides a unique opportunity to gain hands-on experience with some of the most advanced AI tools available, and to learn from experts who are at the forefront of AI development.

Whether you’re looking to break into the AI field, enhance your existing skills, or work on cutting-edge projects, this workshop will provide you with the knowledge and practical experience needed to take your AI skills to the next level.

Don’t miss out on this opportunity to build, learn, and collaborate with other AI enthusiasts and professionals. Register today and be part of the GenAI Study Jam!

When

When

Friday, December 13, 2024
12:00 PM – 5:00 PM (UTC)

Partners

Nigeria association of computing students COOU chapter logo

Nigeria association of computing students COOU chapter

COOU Techies logo

COOU Techies

Young African Tech Entrepreneur logo

Young African Tech Entrepreneur

Organizers

  • Blessing Emejulu

    Organizer

  • Kenechukwu Ikeanyi

    Co-organizer

  • Paul Nwokolo

    AI & Machine Learning Lead

  • Mildred Nnazor

    Graphic Designer

  • Dennis Legend

    Web Development Lead

  • Kelvin Akpamgbo

    Web3/Blockchain Lead

  • Ike Mgbeafulike

    Faculty Advisor

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