Every workshop is customized to your specific business needs and industry requirements, ensuring maximum relevance and impact.

Interactive, practical exercises with real datasets and scenarios that your team can immediately apply to their work.

Choose from online workshops, on-site training, or hybrid solutions that fit your schedule and learning preferences.

• Comprehensive PDFs and coding exercises

• Video tutorials and demonstrations

• Flexible scheduling options

• Follow-up support included

• Industry-specific applications

• Customized learning paths

• Specialized content creation

• Ongoing support and updates

• Technology trend analysis

• Implementation roadmaps

• Business-focused approach

• Ongoing advisory support

• Get an overview of computer internals

• Learn about each component of a computer and the computer interface

• Understand how data is stored and processed

• Discover about how the CPU processes instructions

• Learn about how the Operating System manages resources

• How your computer connects with the internet and the web

• Learn the fundamentals of computer programming with Python

• Declare variables and assign values

• Perform logical operations and mathematical calculations

• Write conditions and loops to control the flow of your programs

• Use simple data structures to store and interact with data

• Write your own custom functions and import libraries

• Solve problems and obtain key results with data analysis using Jupyter Notebooks

• Load data from various file formats

• Use SQLite to query large datasets

• Organize and summarize data with NumPy and Pandas

• Identify outliers and perform data transformations

• Visualize data and tell compelling stories with Matplotlib

• Learn the fundamentals of machine learning

• Build supervised learning models to make predictions from labeled data

• Use unsupervised learning to uncover hidden patterns in data

• Train a game agent to perform a series of optimal actions using reinforcement learning

• Construct a data pipeline to validate and test your models

• Linear and Logistic Regression

• Multilayer Perceptron and Simple Neural Networks

• Convolutional Neural Networks

• Recurrent Neural Networks

• Transformers and Attention Mechanisms

• Intro to Autoencoders and Generative Models

• Instruct AI models with prompts

• Learn common prompt engineering techniques and best practices

• Discover popular AI tools used in the industry

• Plan and write up your project requirements

• Build your own applications with AI tools