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From Software Developer to AI Engineer: Antje Barth
Takeaway
Software devs become AI engineers by combining FM fundamentals with productivity assistants (Amazon Q) and managed model access (Bedrock Converse API).
Summary
- Five-step path: learn LLM fundamentals (Andrew Ng/DeepLearning.AI's GenAI with LLMs course), use AI dev tools, prototype with FMs, productionize, stay current.
- Amazon Q Developer goes beyond completion with /dev plans for feature dev and Java migration agents, embedded in IDE chat.
- Amazon Bedrock provides choice of FMs (AI21, Anthropic, Cohere, Meta, Mistral, Stability, Amazon Titan); new Converse API normalizes invocation across models with native function calling.
- Stresses responsible AI, guardrails, and data privacy across the dev lifecycle.
- Reframes English as the new top programming language: AI handles boilerplate (~70% of dev time) so engineers focus on creative 30%.
awsamazon-qbedrock
Original description
In this keynote, Antje explores how generative AI is transforming the landscape of software development, enabling developers to innovate like never before. She will showcase the latest advancements in AI and demonstrate the powerful capabilities of generative AI tools available on AWS. You will learn how to harness these tools to accelerate your development processes, enhance creativity, and build robust, AI-driven applications. Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025 About Antje Antje Barth is a Principal Developer Advocate for generative AI at AWS. She is co-author of the O’Reilly books Generative AI on AWS and Data Science on AWS. Antje frequently speaks at AI conferences, events, and meetups around the world. She also co-founded the global Generative AI on AWS meetup and the Düsseldorf chapter of Women in Big Data.