Generative AI for Developers
A 3-month course for technical specialists focused on using Generative AI for development
Generative AI for Developers
ABOUT THE PROGRAM
Today, GenAI presents a window of opportunity for developers and engineers as businesses undergo transformative changes, with the demand for AI in development steadily increasing.
We designed this micro-master’s program for engineers, architects, and data scientists who recognize the impact of AI on development and business and seek to strengthen their skill set. Over the course of three months, you will progress step-by-step from ML models as proofs of concept to developing solutions based on LLM.
WHAT YOU WILL LEARN
PARTICIPANT REQUIREMENTS
English proficiency at B2 level or higher
2+ years of experience in IT
Basic knowledge of cloud computing and infrastructure
Intermediate proficiency in Python (or another programming language)
Experience with data transformation libraries (such as Pandas) is a plus
EDUCATIONAL MODULES
Module 1: Foundations of ML and MLOps
This module is dedicated to filling the gaps in the principles of GenAI, ML, MLOps, and LLMOps:
- ML basics from the top GenAI tools and platforms to MLOps and LLMOps
- data preparation for ML models
- key principles of testing for LLMOps
Module 2: From ML Model to AWS Cloud Deployment
During this module you'll focus on deploying a model into cloud storage:
- features and specifics of Amazon Web Services
- security aspects of AWS
- AWS cloud infrastructure and services for data management: Lambda, Kinesis, Glue, SageMaker, Bedrock
- key principles of database systems management: ACID, CAP, BASE, PIE
Module 3: Developing LLM-Based Solutions
This module is dedicated to developing your own solution based on LLM:
- NLP/NLG for solution of different business cases
- LLM applications frameworks: prompts, chains, question answering, and agents)
- Building GenAI applications for content analysis and generation with Streamlit and Gradio
CURATORS AND INSTRUCTORS
Artem Kobrin
Artem is a highly experienced Head of Cloud practice at Neurons Lab, with a decade of successful international experience in DevOps, security, and networking AI, IoT, and Data Analytics. Artem leverages his expertise in transformative cloud migration, Conversational AI, data platform construction, and Digital Twin solutions to work closely with customers to deliver secure and scalable solutions and applications on the cloud.
Rostyslav Myronenko
Solutions Architect at Booking.com (Amsterdam, the Netherlands) with about 12 years of experience in software engineering in different engineering roles, Solutions Architect since 2018. From Kharkiv, Ukraine.
Main focus: solution architecture, AWS, Kubernetes, SDLC, team leadership, mentoring, growing a team.
Full AWS Certified (13 active AWS certifications), holder of the legendary AWS Golden Jacket.
PROGRAM ADVANTAGES
Flexible learning format that can be balanced with a full-time job
Learning from expert practitioners with ongoing feedback and support
Final project: your own unique LLM solution
WHO IT'S FOR
ML Engineers with experience in building models
Data Scientists looking to enhance their skill set
Middle+ developers and architects
Cloud Engineers
Technical specialists aiming to transition into MLOps or AI development roles
FAQ
Do I need to have good coding skills?
Yes, coding skills are necessary, otherwise, this course will be irrelevant for you. The main task of the course is to learn how to use GenAI technologies for development. A confident skill in Python (or confident skill in another programming language and readiness to challenge yourself by Python) will allow students to work effectively through the program and create their own solutions within the practical module. If you don’t have any development skills, stay tuned for our updates as we regularly launch relevant programs for non-technical specialists.
Will there be a final project as part of the course?
Yes, each homework will be a part of the final project, which is your own LLM solution (for example, an AI agent for a chatbot).
If I've already been working as an ML engineer or MLOps, will this program be useful for me?
Yes, the program will allow you to systematize your knowledge of working with Generative AI models and cloud technologies to deploy your own solutions.
Learn more about the SET University program
Questions left?
Get a consultation: hello@setuniversity.tech