Road to Google Developer Certification: Panel Discussion & Networking
- 2. Imagine. Innovate. Impact. GDG Surrey recognizes that we are on the ancestral and unceded homelands of the hษn ฬ q ฬ ษmin ฬ ษm ฬ and Sแธตwx ฬฑ wรบ7mesh speaking peoples and are grateful to be on this territory. Acknowledgement
- 3. What are GDGs? Google Developer Groups (GDG) are non-profit, global initiatives that connect developers and tech enthusiasts of all levels. - Connect - Meet local developers and technologists. All are welcome, including those with unique backgrounds and from various companies and industries. - Learn - Learn about a range of technical topics and gain new skills through hands-on workshops, training, events, talks, and meetups, online and in person. - Grow - Apply knowledge and connections to build great products and advance your skills, career, and network. Help your community learn too.
- 4. What is GDG Surrey? - GDG Surrey is diverse and inclusive tech community. Our aim is to create an environment where everyone, from beginners to experienced tech professionals, feels welcome and empowered. - Our motto: Imagine. Innovate. Impact. - imagine the possibility - innovate to turn the ideas into reality - create a positive impact - We are on Discord https://discord.gg/hBfeGXkK
- 5. Priti Yadav Darshan Parikh Riya Eliza Shaju Sowndarya Venkat Sid Alashi Yashi Girdhar Neema Madayi Veetil Aiswarya Saripella Mamtha Sam Huo Team
- 6. Google Developer Groups Surrey: Empowering Local Developers Google Developer Groups (GDG) are non-profit, global initiatives that connect developers of all levels. GDG Surrey is your local chapter, fostering an inclusive environment where you can enhance your skills, network, and progress in your tech career. Road to Google Developers Certification: Dive into Google Cloud technologies through our dynamic series of 8 events. Participate in workshops, study groups, and coding challenges organized by GDG Surrey to help you prepare for Google Developers Certification. Get Involved: Whether you're a beginner or an experienced developer, GDG Surrey welcomes you. Together, let's advance tech expertise in our community. Become a part of GDG Surrey today and take the next step in your developer journey.
- 7. Professional Machine Learning Certification Learning Journey Organized by Google Developer Groups Surrey
- 8. Vasudev Maduri Recent info Session
- 9. Week 2 Study Group ML Problem Framing - Translate business challenge into ML use case. - Define ML problem. - Define business success criteria. - Identify risks to feasibility and implementation of ML solution. - Envisioning future solution improvements. ML Solution Architecture - Design reliable, scalable, highly available ML solutions. Translate business challenge into ML use case. - Choose appropriate Google Cloud software components. - Choose appropriate Google Cloud hardware components. - Design architecture that complies with regulatory and security concerns.
- 10. Week 3 Study Group Preparation and Processing - Data ingestion. - Data exploration (EDA). - Design data pipelines. - Build data pipelines. - Feature engineering.
- 11. Week 4 Study Group Model Development - Build a model. - Train a model. - Test a model. - Scale model training and serving.
- 12. Week 5 Study Group ML Pipeline Automation & Orchestration - Design pipeline. - Implement training pipeline. - Implement serving pipeline. - Track and audit metadata. - Use CI/CD to test and deploy models. ML Solution Monitoring, Optimization, and Maintenance - Monitor ML solutions. - Troubleshoot ML solutions. - Tune performance of ML solutions for training & serving in production.
- 13. Week 6 Study Group Exam Tips - Review - Registering for the Exam - Tips for managing your time / test taking strategy
- 14. AI vs ML
- 15. Panel Thoughts on AI ML? โช What is explainable AI? How can ML Students and professionals ensure they are using AI responsibly and ethically? โช Talking about responsible & Ethical AI, how does taking this course help learners navigate ethical complexities? โช Could you explain more about the advantages of learning ML with Google Cloud โช In what ways do the skills and knowledge from taking this course translate into real-world applications and career prospects?