PROGRAM OVERVIEW
The Generative AI for Python Developers program creates the advance skills existing Python developers need to work with, employ and master the latest generative models such as GPT and DALL·E, including learning to create diverse media including text and images.
Audience
This program is for experienced Python developers ready to expand into generative AI. It's ideal for engineers and data professionals who want to build applications using models like GPT and DALL·E.
Intended Outcome
Participants will learn to integrate and apply generative models to create AI-powered tools that generate text, images, and code. They'll leave with practical experience, project examples, and the confidence to lead generative AI initiatives.
PROGRAM OVERVIEW
The Software Architecture program is tailored for software developers poised to embrace leadership positions as architects. The essence of the software architect's role transcends mere job titles, encapsulating the comprehensive design and operational dynamics of a system.
Audience
This course is tailored for experienced software developers, technical leads, and engineers aspiring to transition into software architecture roles.
Intended Outcome
Participants will acquire the expertise to design, evaluate, and lead the development of scalable software systems, ready to confidently step into leadership roles.
PROGRAM OVERVIEW
The Machine Learning Foundations program rapidly advances Python developers to Machine Learning experts, focusing on real-world problem-solving through key practices like data preprocessing and model deployment. Through intensive hands-on exercises and projects, participants utilize major ML libraries such as Scikit-learn, TensorFlow, PyTorch to build and deploy advanced models.
Audience
This program is built for software engineers with some exposure to Python who are ready to transition into applied machine learning roles. It’s ideal for engineers seeking to build practical ML expertise and deploy real-world solutions using modern tools and frameworks.
Intended Outcome
Participants will gain hands-on experience in the full ML lifecycle, from data preprocessing to model deployment and using libraries like Scikit-learn, TensorFlow, and PyTorch. By program’s end, they’ll be equipped to solve real-world problems with production-ready machine learning models.
PROGRAM OVERVIEW
The DevOps for SysAdmins program transforms System Administrators into DevOps experts, learning automation, CI/CD, IaC, and more through hands-on exercises, culminating in a real-world capstone project. They'll emerge ready to tackle DevOps roles, applying critical skills to enhance system reliability and efficiency.
Audience
Systems Admins with a developer understanding.
Intended Outcome
Obtain a foundational understanding of the development process to bridge the gap between traditional SysAdmin and DevOps roles.
PROGRAM OVERVIEW
The SRE for Developers program transforms existing software developers into proficient Site Reliability Engineers capable of designing and managing scalable, reliable systems. Throughout the program, students will learn key SRE concepts including automation, monitoring, incident response, and how to balance feature deployment with reliability.
Audience
Existing software developers looking to transition into Site Reliability Engineering roles. Participants should have a basic understanding of software development and operations.
Intended Outcome
Provide a comprehensive introduction to SRE practices, tools, and methodologies, focusing on reliability, scalability, incident management, and automation.
Audience
Existing Python developers needing to transition into Data Engineering.
Intended Outcome
Equip the learners with a comprehensive understanding and practical skills in various aspects of data engineering.