
LIVE TRAINING
Build practical, in-demand AI skills through live, expert-led hands-on sessions.
Designed for real-time engagement with direct access to instructors for questions, projects, and feedback.

LIVE TRAINING
This AI literacy course is designed to introduce participants to the basics of artificial intelligence (AI) and machine learning. We will explore the various types of AI and then progress to understand fundamental concepts such as algorithms, features, and models.Â
This SQL coding course teaches students the basics of Structured Query Language, a standard programming language used for managing and manipulating data and an essential tool in AI. You will learn how to design and write SQL code.Â
The Python language is one of the most popular programming languages in data science and machine learning as it offers a number of powerful and accessible libraries and frameworks specifically designed for these fields.Â
In the rapidly evolving field of AI, the “LLMs, Prompt Engineering, and Generative AI” course stands as a cutting-edge offering, designed to equip learners with the latest advancements in Large Language Models (LLMs), prompt engineering, and generative AI techniques.Â
Machine Learning Data Prep with Python” offers attendees a hands-on experience to master the essential techniques. From cleaning and transforming raw data to making it ready for analysis, this course will equip you with the skills needed to handle real-world data challenges.Â
Data is the essential building block of Data Science, Machine Learning, and AI. This course is the first in the series and is designed to teach you the foundational skills and knowledge required to understand, work with, and analyze data.Â
Upcoming Live Training Â
This AI course introduces participants to artificial intelligence (AI) and machine learning basics.
We will first explore the various types of AI and then progress to understand fundamental concepts such as algorithms, features, and models.
We will study the machine learning workflow and how it is used to design, build, and deploy models that can learn from data to make predictions. This will cover model training including supervised, unsupervised learning, and generative AI
The Python language is one of the most popular programming languages in data science and machine learning as it offers several powerful and accessible libraries and frameworks specifically designed for these fields.
This programming course is designed to give participants a quick introduction to the basics of coding using the Python language. It covers topics such as data structures, control structures, functions, modules, and file handling.
This course aims to provide a basic foundation in Python and help participants develop the skills needed to progress in the field of data science and machine learning.
Designed for AI practitioners and engineers, this interactive workshop will cover:
🔸 Speech-to-text processing with open-source models 🔸 Language translation using LLM-powered tools 🔸 Speech synthesis for real-time responses🔸 Optimizing latency for seamless interaction 🔸 Deploying with open-source frameworks and APIs
We’ll demonstrate a live build, with attendees coding alongside us. A GitHub repo will be provided for reproducible learning. Whether you’re new to AI automation or refining your prototyping skills, you’ll leave with a functional AI agent and the tools to iterate further.







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🔥 Dive into a Month of Learning: April 1st-29th, 2025
🔸 Master AI from fundamentals to advanced applications in our 5-week bootcamp.
🔸 Start with an introduction to AI and data prep with Python, then dive into hands-on machine learning, large language models, and AI agents with RAG.
🔸 Each course is designed to equip you with the practical skills needed to excel in the AI field.
🔸 Regardless of your current skill level, this AI bootcamp will help transform you from AI novice to confident practitioner.
🌟INCLUDED WITH PREMIUM ANNUAL SUBSCRIPTION
Level Up Your AI Skills in 2026! 🚀– Feb 24 – APR 9 – Virtual
Kickstart your year with an intensive 7-week virtual AI Accelerator – the ultimate prelude to the renowned ODSC AI East 2026. Whether you are a beginner or looking to sharpen your edge, this program transforms you from a novice into a confident practitioner from the comfort of your home. The Curriculum
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Feb 24: AI & Machine Learning Foundations
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Feb 26: Building AI with Coding Assistants
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Mar 03: Data Prep for ML and LLMs with Python
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Mar 12: AI Engineering Foundations
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Mar 19: Introduction to LLMs, Fine‑Tuning & Evaluation
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Mar 26: Building Knowledge‑Grounded LLMs with RAG
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Apr 02: Automating Workflows with Agentic AI
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Apr 09: Capstone: Build and Deploy Your Agentic AI Application
In this talk, we will share how coding agents help developers build high quality agents faster.Â
A key insight from building agents in production is that high quality agents operate with their goals, plans and actions aligned. We introduce the Agent Goal-Plan-Action or Agent GPA framework to capture this insight, which achieved state of the art benchmarks on TRAIL/GAIA with 95% error coverage and 86% error localization.Â
This approach to agent evaluation enables effective and fast optimization with coding agents. We will also show how to use coding agents to automate the process of measuring and improving an Agent’s GPA by using agent optimization skills that take advantage of the GPA evaluation framework.
By the end, attendees will be able to use coding agents and the GPA framework to identify common agent failures, improve their agent and make it ready for production.
The ODSC AI East 2026 Preliminary Schedule is now live, designed for professionals ready to move beyond experimentation and into production. At ODSC AI East, you can:
- Dive into 110+ hands-on sessions
- Choose from 12 focused AI tracks
- Access 300+ hours of technical content
- Learn practical frameworks for shipping AI systems at scale
Whether you’re working on LLM-powered apps, agent workflows, model deployment, or evaluation pipelines — the schedule is built to help you apply what you learn immediately. Level up from AI user to AI builder.
Elevate Your Team’s AI Journey: Join ODSC AI East Conference
Real-world AI isn’t built in papers – it’s built in production.
If you’re planning to level up in 2026, this is the moment to lock it in.
ODSC AI East 2026 brings together the engineers, researchers, and teams building what’s actually working in AI today – LLMs, agentic workflows, RAG systems, MLOps, deployment patterns, and more.
With 300+ sessions, hands-on training, and access to the people shaping the field, this is where you move from following AI to building with it.
Early Bird Sale: 60% Off – ends Friday.
If you know you’re investing in your AI skills next year, this is the best time to do it.
JOIN US NOW!
Watch live at live.odsc.ai
Or check the in-person schedule in the EventX App for the latest updates.
Ready For More? Go Premium!Â
Get access to extensive training, on-demand sessions, certifications, exclusive discounts on annual and quarterly events, and much more.
WHAT OUR ATTENDEES SAY ABOUT SOME OF OUR LIVE TRAINING

(6 Ratings)
“Really impressed by the content and quality of the lecturer in this presentation. Not only was it a great introduction to methods useful for fraud detection, but also a great explanation of key statistical concepts for data analysis. NC State University is well known for its programs in these areas and Professor LaBarr only enhances that reputation. Great asset to the training courses on this platform. Can’t wait to learn more from Professor LaBarr.” Â
Andrew Terrell, Technology Consultant

(7 Ratings)
“All clear and well explained by our very knowledgable instructor, Marta. This was all extremely applicable to my job. Wish this was a full day instead as Marta had a lot of amazing content. Thanks to the instructor and organizers.” Â
Micheleen Harris, Senior Data Scientist

(5 Ratings)
“I particularly appreciated Ankur’s answers to my numerous questions. Those answers alone were worth the price because they provided insight into real-world applications of these models. I also liked the use of live demo in the TensorFlow projector to visualize the results of every algorithm. Will adopt it right away.”
Michael Livshutz, Technical Business Analyst

(3 Ratings)
“I use gradient boosting algorithms in my work, so I have some familiarity, but was able to gain a deeper understanding of the process of hyperparameter selection and results analysis, along with just getting a great view of the perspective of an expert in the field. Very happy with what I gained”
Mike Beck, Manager

(8 Ratings)
“I had a great time learning from Mona. She has an excellent style of instruction. I was able to grasp the concepts because of how well she paced through them.
If there were some practice questions or pre-requisite things beforehand(installation etc.), that’d be great. Not a reflection on her teaching just so I’d be better prepared.”
Benu Atri, Data Scientist

(4 Ratings)
“Aric is a great teacher and the entire class was structured very well. I learned a lot of new interesting techniques. A mix of lecture and live coding with real-time incorporation of student feedback and questions into the class. Best for intermediate to advanced data folks because it assumes you know some Python. I would highly recommend if you have an interest to learn fraud.”
Shery Cheong, Data Scientist
There’s still time: Check out on-demand for past LIVE courses

June 15th
Matt Brems will cover introduction to Natural Language Processing including cleaning text data, transforming data with CountVectorizer and and TFIDFVectorizer as well as how to Fit machine learning models in scikit-learn and evaluate their performance. You will also learn how to build pipelines and GridSearch over NLP hyperparameters.




















