Uploaded June 2024 | Updated September 2026, 3 weeks ago
David Ping, Head of GenAI and ML Solution Architecture for Global Industries at AWS, provides expert insights on designing machine learning systems.
In this session, learn about the following things:
1. What are the career paths to becoming a machine learning solutions architect?
2. What are the key considerations for designing a machine learning system?
3. How do machine learning projects differ from other projects for solutions architects?
4. How can machine learning solutions architecture be optimized to handle the complexities of end-to-end ML lifecycle management?
5. What are the specific challenges and solutions when deploying generative AI platforms at scale in enterprise environments?
During the live event, you can ask more questions! We will try to get all the questions answered live during the event.
We will also give away E-copies to 2 lucky winners during the session. Comment with #packt to enter the raffle.
David Ping, Head of GenAI and ML Solution Architecture for Global Industries at AWS, provides expert insights on designing machine learning systems.
In this session, learn about the following things:
1. What are the career paths to becoming a machine learning solutions architect?
2. What are the key considerations for designing a machine learning system?
3. How do machine learning projects differ from other projects for solutions architects?
4. How can machine learning solutions architecture be optimized to handle the complexities of end-to-end ML lifecycle management?
5. What are the specific challenges and solutions when deploying generative AI platforms at scale in enterprise environments?
During the live event, you can ask more questions! We will try to get all the questions answered live during the event.
We will also give away E-copies to 2 lucky winners during the session. Comment with #packt to enter the raffle.
