AI for Software Developers 

Data and AI
GenAI
Generative AI

Take your AI skills to the next level with hands-on labs, cutting-edge techniques, and advanced prompt engineering strategies. 

Contact Us for Incompany Training

Our in-company training programs are fully customizable to meet your organization’s unique needs. Reach out to discuss how we can help your team grow.

Contact our team

What will you learn?

In this course, you will dive deep into Generative AI and its applications, exploring cutting-edge techniques like Retrieval-Augmented Generation (RAG) and advanced prompt engineering. You will learn how to deploy AI models effectively, benchmark their performance, and integrate them into business applications. Hands-on labs will solidify your understanding as you build practical solutions, address biases, and master tools like PyTorch, Hugging Face, and LangChain. By the end, you will be equipped to create AI-driven systems that transform data into intelligent, actionable insights.

Key takeaways

  1. Master Generative AI concepts and applications.
  2. Build and deploy AI models with CI practices.
  3. Explore advanced prompt engineering techniques.
  4. Address bias and monitor AI performance effectively.
  5. Gain hands-on experience with AI tools and frameworks.

Program

  • Introduction to GenAI: Understand the role of AI in decision-making, explore key ML, DL, and NLP concepts, and discover tools like BERT and GPT. Learn to apply these techniques to real-world scenarios and frameworks.
  • Getting started with LLMs: Learn how Large Language Models (LLMs) work and how to design effective prompts. Dive into RAG, grounding, and LLM deployment options on platforms like Azure and GCP.
  • AI Deployment: Master benchmarking and CI techniques for AI models. Explore real-world case studies, tools, and best practices for integrating AI into business workflows.
  • Advanced Prompt Engineering: Discover techniques like ReAct, automatic prompting, agentic reasoning, and Tree-of-Thoughts. Practical labs will help you implement these strategies effectively.

Who is it for?

This course is perfect for developers, data scientists, and tech enthusiasts with a foundational understanding of Python, machine learning, deep learning, and NLP. If you are ready to level up your AI skills and create impactful solutions, this is for you!

Requirements

Basic programming knowledge in Python.

Familiarity with ML, DL, and NLP concepts.

Why should I do this training?

Learn from experts

Gain skills with the latest AI techniques.

Hands-on labs

Build real-world AI solutions.

Boost your career

Master skills in high demand.

What else
should I know?

After registering, you will receive a confirmation email with practical information.

See you soon!

Course information

Available remotely or in-person 

Includes practical lab sessions

Hands-on exercises with real repositories 

Access to industry-standard tools and platforms

Designed for professionals and AI enthusiasts

Fully online or hybrid learning options available

Incompany Request

Empower your team with our tailored in-company training solutions. Customized to meet your organization’s specific needs, our experts will help your team master the skills they need to excel.

Use this form to request this course, and our sales team will get in touch with you as soon as possible to discuss your needs and customize the training for your organization.


Also interesting for you

View all training courses
Power BI in a Day

Learn how to turn your data sources into immersive visuals using Microsoft Power BI.

Tennyson Wu

Data Analytics
Data Visualization
Microsoft
PowerBI
1 day
Virtual

Next:

9 May, 2025

From:

€670

View training
Data Science with Python (Certified)

Dive into the world of data science through data analysis and machine learning. Sign up for Data Science with Python (Certified).

Lucy Sheppard 

Data Science
Python
3 days
Virtual

Next:

12 May, 2025

From:

€1975

View training
MLOps on GCP

Discover what MLOps is and how you can apply it in GCP (Google Cloud Platform) with our MLOps on GCP training course.

Data Analytics
Data Engineering
Data Science
Google Cloud Platform (GCP)
2 days
In Person

Next:

14 – 16 May, 2025

From:

€1520

View training
Production Ready Machine Learning

Follow our Production-Ready Python for Machine Learning training course to bring your machine learning models into production.

Enrico Erler

Data Engineering
Data Science
Machine Learning
Python
Software Development
Software Testing
3 days
In Person

Next:

19 May, 2025

From:

€2175

View training
Python for Data Analysis

Learn how to code in Python and perform data analysis with our Python for Data Analysis training.

Steven van Duin

Data Science
Python
2 days
Virtual

Next:

12 – 13 Jun, 2025

From:

€1315

View training

Can’t find the course you’re looking for? There’s more!