Adam Englander
Director of Engineering, ZettaFi
Las Vegas, Nevada, United States
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Adam Englander has been architecting and developing systems for over 30 years. He's also been a maintainer or contributor to significant projects in the OSS ecosystem. Most recently, Adam has been working on enabling and optimizing business systems utilizing AI technology.
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Testing AI Applications: A Whole New Ballgame
In this emerging AI era, delivering AI-based applications no longer requires data scientists. This shifts responsibility for AI output quality to QA and software engineers. Traditional tools and methods, however, are inadequate for measuring quality in these applications. Learn how to apply data science best practices to develop and maintain high-quality AI solutions.
How to AI
In less than an hour, you’ll understand how to effectively integrate Artificial Intelligence into any application. Whether you're adding new features, improving user experience, or automating simple and complex tasks, we'll cover practical strategies for implementation. You’ll also receive guidance on choosing the suitable AI model for your needs and best practices for validating and monitoring its accuracy over time.
Intro to AI for Software Developers
Unlock the world of AI, from basic concepts to cutting-edge advancements. Explore how AI is revolutionizing software development, understand its ethical implications, and discover future trends and career opportunities. Empower your software development with ethical and innovative AI insights!
AI Mastery: From Basics to Fine-Tuning
Unlock the potential of AI in one day! Dive deep into chat completion, domain-specific embeddings, and model fine-tuning. Transform your AI game, ensuring precision and domain expertise in every interaction. Master today's leading AI technology swiftly!
AI and the SDLC/DevOps Conundrum
Integrating AI into your application transforms the traditional software development and DevOps lifecycle. Unlike standard code, LLM outputs can vary for the same input, leading to different accuracy levels. This affects both pre-deployment testing and post-deployment monitoring. To achieve and maintain quality, you will learn to apply ML/LLM Ops practices from data science within your software development and DevOps lifecycles.
Adopting the AI Mindset: Navigating the Evolving Landscape of Software Development
Dive into the transformative power of AI in software development, from understanding its groundbreaking influence to exploring practical tools and ethical considerations. Learn how an AI mindset fosters innovation, the promise of automated coding, and the importance of fairness and transparency.
Adam Englander
Director of Engineering, ZettaFi
Las Vegas, Nevada, United States
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