Business
$350 AUD each
Sydney (Online)
Monday, 17 June, 2024
10
pm
–
5
am
EDT
AI for Workplace Productivity | One-day Workshop
About This Workshop
You will need a paid subscription to ChatGPT for this workshop. See the "Preparation" section below for more details.
This seven-hour workshop gives you the context and hands-on practice you need to effectively use AI to automate your workflows and optimize communications.
To kick it off, we’ll talk about the importance of learning AI — regardless of your role or industry — and best practices for recognizing and mitigating bias when using large language models (LLMs).
Next, you’ll get your hands dirty in ChatGPT developing and testing prompts, and generating summaries of large, complex content. Then learn to identify the key steps involved in designing an automation, and determine which of your own mundane tasks can be easily automated using AI.
To round-out your AI skills, you’ll develop and implement a simple Generative AI solution to a real-world business problem. By the end of this workshop, you’ll have the generative AI tools and techniques under your belt to improve your productivity at work — and even carry some of these skills over to improve productivity in your personal life.
Please Note: Registration for this workshop will close 48 hours before the scheduled start date.
Takeaways
- Analyze the impact of Generative AI on various industries and business functions.
- Examine the strengths of AI — like automation and augmentation — and learn best practices to mitigate limitations around reasoning, awareness, and biases.
- Develop and test different prompting strategies to improve the results of Generative AI models.
- Apply techniques to generate accurate and concise summaries of long or complex content.
- Identify the key steps involved in designing an automation, and apply the principles of automation design to a real-world business process.
- Develop and implement a simple Generative AI solution to a real-world business problem.
Preparation
You’ll need access to one of these "Pro" LLMs:
No prior knowledge of generative AI is necessary.
Look out for a prep email one day before, and one hour before the workshop begins with the Zoom link. If you don’t see the email, please reach out to help@ga.co and we’ll get you set up ASAP.
There is no certificate for completing this workshop.
About the Instructor
Divya Venkatraman
BE, MSc & PhD (NTU, Singapore)
Divya is a hands-on technologist with a passion for solving real-world problems with an interdisciplinary approach. Currently she switches time between providing data science/AI consulting services to organizations in APAC (mainly startups) and teaching/mentoring adult learners making a shift into the tech industry.
Divya started her career as a Software Engineer developing web-based applications for the US insurance industry while at Infosys, India. She received her masters and doctorate in Digital Signal processing (yester-year data science focussed on feature engineering) from Nanyang Technological University, Singapore. Including her graduate degree, Divya has been an ardent data science/AI practitioner for close to 15 years making the journey from a software engineer to a signal processing engineer to a researcher to an applied machine learning/ AI engineer working on multiple projects across different industry verticals such as Energy (Halliburton), eduTech (CRADLE@NTU), Risk Management (Sense Infosys), MedTech (AiHighway) and HRTech (InterviewerAI.) She specializes in processing sequence data that includes time-series signals like vibration, audio etc and natural language (both text & speech.)
Armed with industry experience, she started teaching the 3-month full time data science immersive bootcamp at General assembly, Singapore. Over the last few years she has tailored many custom curricula and taught various interdisciplinary courses spanning areas of data science, AI, software engineering, cloud architecting and AI for both consumer and enterprise clients. She also sits in the General Assembly Global Data Science Immersive product advisory group.
Currently she is an Adjunct Faculty at the SP Jain School of Global Management, Singapore and teaches the Applied Statistics for Decision Making (ASDM) for the GMBA and MGB cohorts. Her areas of interest include product analytics, natural language processing, and Explainable AI.
Refund Policy
We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.
Community Code of Conduct
Your registration for or attendance at any General Assembly offering indicates your agreement to abide by this Community Code of Conduct policy and its terms.
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