1 - Basic Python Syntax

• Explore the basic syntax and semantics of Python

2 - Language Components

• Understand the basic control flow features and operators

3 - Collections

• Write programs that manipulate compound data using lists, sets, tuples and dictionaries

4 - Functions

• Decompose your programs into composable functions

5 - Modules

• Organize your code using Modules for flexibility and reuse

6 - Classes in Python

• Explore Object Oriented Programming (OOP) with classes and objects

7 - Exceptions

• Handle runtime errors using Exceptions

8 - Input and Output

• Implement programs that read and write files

9 - Data Structures

• Use advanced data structures like generators and comprehensions to reduce boilerplate code

10 - Parsing JSON

• Read and write JSON data

11 - Debugging

• Debug Python programs using the Python debugger (pdb)

12 - Introduction to Machine Learning

• Describe basic machine learning concepts, different types of machine learning, and machine learning workflows

13 - Training Models

• Train models by using default and custom workbenches

14 - Enhancing Model Training with RHOAI

• Use RHOAI to apply best practices in machine learning and data science

Additional course details:

Nexus Humans, Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the ITS Data Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

FAQ for the Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) Course

Available Delivery Options for the Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) training.

• Live Instructor Led Classroom Online (Live Online)
• Traditional Instructor Led Classroom (TILT/ILT)
• Delivery at your offices in London or anywhere in the UK
• Private dedicated course as works for your staff.

How many CPD hours does the Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) training provide?

The 5 day. Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) training course give you up to 30 CPD hours/structured learning hours. If you need a letter or certificate (Non PeopleCert programs only) in a particular format for your association, organisation or professional body please just ask.

Is the Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) training appropriate for someone learning to use Red Hat in a professional environment?

Yes the Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) is appropriate for someone looking to use Red Hat in a professional workspace or environment. But do make sure to note any prerequisites, read the course outline to ensure it is the right fit for you or your teams requirements and preferences.

What is the correct audience for the Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) training?

• Data scientists and AI practitioners who want to use Red Hat OpenShift AI to build and train ML models
• Developers who want to build and integrate AI/ML enabled applications
• MLOps engineers responsible for installing, configuring, deploying, and monitoring AI/ML applications on Red Hat OpenShift AI

Do you provide training for the Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253).

Yes we provide corporate training, dedicated training and closed classes for the Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253). This can take place anywhere in Ireland including, Dublin, Cork, Galway, Northern Ireland or live online allowing you to have your teams from across Ireland or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) program.

The Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) training takes place over 5 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.

Why are Nexus Human the best provider for the Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253)?

Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for Ireland on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.

Is there a discount code for the Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) training.

Yes, the discount code PENPAL5 is currently available for the Creating Machine Learning Models with Python and Red Hat OpenShift AI (AI253) training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.