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# build your AI skills: beginner to expert;
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Live and on-demand training in:
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LIVE TRAINING: MARCH 22ND,2023
LLMs are based on neural networks, which are a type of artificial intelligence (AI) that can learn from data. Specifically, LLMs are based on the Transformer architecture, which uses sequences of data in order to make predictions. This makes them well-suited to tasks such as natural language processing, where the input is often a sequence of words.
This is a course on LLMs that can help you learn more about this powerful technology. The course covers topics such as the fundamentals of neural networks and recurrent neural networks, the different types of LLMs and their applications, and the best practices for building and deploying LLMs.
LIVE TRAINING: APRIL 6TH, 2023
Python is a versatile and powerful programming language that has become one of the most popular languages used today. Whether you are new to programming or an experienced developer looking to learn a new language, this course is designed to provide you with a comprehensive introduction to Python. In this course, you will learn the fundamentals of Python, including variables, data types, functions, loops, and more.
We will also cover advanced topics such as object-oriented programming, and file input/output. By the end of this course, you will have a solid foundation in Python programming and be able to write your own Python programs.
Now Available On-Demand
This SQL coding course teaches students the basics of Structured Query Language, which is a standard programming language used for managing and manipulating data and an essential tool in AI.  The course covers topics such as database design and normalization, data wrangling, aggregate functions, subqueries, and join operations, and students will learn how to design and write SQL code to solve real-world problems. Upon completion, students will have a strong foundation in SQL and be able to use it effectively to extract insights from data.
The ability to effectively access, retrieve, and manipulate data using SQL is essential for data cleaning, pre-processing, and exploration, which are crucial steps in any data science or machine learning project. Additionally, SQL is widely used in industry, making it a valuable skill for professionals in the field. This course builds upon the earlier data course in the series.
LIVE TRAINING: APRIL 26TH, 2023
This AI literacy course is designed to introduce participants to the basics of artificial intelligence (AI) and machine learning. 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 and types of machine learning including supervised, and unsupervised learning, as well as some of the most common models such as regression and k-means clustering.Â
Upon completion, individuals will have a foundational understanding of machine learning and its capabilities and be well-positioned to take advantage of introductory-level hands-on training in machine learning and data science such as ODSC East’s Mini-Bootcamp.
Want to accelerate your learning?
ATTEND DATA ENGINEERING LIVE SUMMITLIVE TRAINING:Â June 10th, 2021
Part 2: Computer Science
Through the measured exposition of theory paired with interactive examples, you’ll develop a working understanding of all of the essential data structures across the list, dictionary, tree, and graph families
LIVE TRAINING:Â JUNE 15th, 2021
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.
TOP RATED ON-DEMAND BOOTCAMP
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This 6-weeks Bootcampis  an introduction to deep neural networks that brings high-level theory to life with working, interactive examples featuring TensorFlow 2, Keras, and PyTorch — all three of the principal Python libraries for deep learning. Essential theory will be covered in a manner that provides students with a complete intuitive understanding of deep learning’s underlying foundations.
Paired with hands-on code demos in Jupyter notebooks as well as strategic advice for overcoming common pitfalls, this foundational knowledge will empower individuals with no previous understanding of artificial neural networks to build production-ready deep learning applications across all of the contemporary families
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Taught by renowned, expert instructors:
Live training student experience
Time Series Forecasting with Python
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.

Micheleen Harris
Hands-On Intro to Unsupervised Learning
I had a bit of previous experience with some of the techniques and was looking for more in-depth. Got all I wanted. Ankur has a great presentation style and excellent examples. 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
NLP Fundamentals in Python
Matt took us through difficult terrain with ease, making sure everybody was on the same page throughout. Really great teaching! Incredibly useful!

Huw Hallam
Advanced Fraud Modeling
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
Practical Advanced Pandas
I like the hands-on approach to teaching the additional techniques of Pandas, and I greatly appreciate the availability of the course’s code for me to review later.

Tyrel Cherry
The #1 Machine Learning Mini-Bootcamp
