AI for Software Developers
CL-AID
Onsite / Virtual classroom
3
days
Ends with an exam
Audience:
Developers
Preparedness:
General software development knowledge
Exercises:
Hands-on
Upcoming dates:

Stay tuned for more!

Course description

The course is a three-day program designed to introduce software developers to the world of AI-enhanced development. It centers around AI assistants, especially GitHub Copilot, and integrating AI into software applications. Participants will engage in hands-on exercises that demonstrate AI's potential in enhancing ideation, proof-of-concept creation, coding, software robustness, and debugging.

The course further explores advanced prompt engineering and a tour of the Copilot ecosystem. It also provides a comparative study of different Large Language Models (LLMs), equipping participants with the knowledge to choose the most suitable model for their needs. An understanding of various cloud providers and their AI offerings is explored, enabling informed decisions about tool and platform selection.

Incorporating LLMs into an application forms a significant part of the learning, along with an overview of AI security. It ensures that developers understand the AI threat landscape and are equipped with strategies to mitigate potential risks, making this course a comprehensive guide to integrating AI into both the product and the processes.

Outline:
  • Introduction to AI-enhanced software development and AI assistants
  • Hands-on exercises showcasing AI's role in software development
  • Exploration of advanced prompt engineering and Copilot ecosystem
  • Overview of different Large Language Models (LLMs) and cloud providers
  • Practical insights on incorporating LLMs into applications
  • Overview of AI security and risk mitigation strategies
Participants attending this course will:
  • Apply AI techniques in ideation, proof-of-concept creation, coding, and debugging through hands-on practices
  • Understand the principles of advanced prompt engineering and the Copilot ecosystem
  • Be able to choose between Large Language Models (LLMs) and cloud providers
  • Learn how to effectively build LLMs into applications
  • Grasp the AI security landscape and learn mitigation techniques
AI Security
Go and Web Application Security
Application Security In The Cloud
Web Application Security Testing
Crypto Library Programming and the PKI
Advanced TPM Security
Web Application Security
C# and Web Application Secuity
Java and Web Application Security
C and C++ Secure Coding (x86)
C and C++ Secure Coding (ARM)
OWASP TOP 10, Secure Coding Fundamentals
AI for Software Developers
AI Fundamentals
Train the Trainer - Fundamentals

Our students say:

"I gained some new insights and thought more structurally about how and what I prompt."

September 15, 2023

"The trainer was really good, and confident, well prepared for each day."

September 15, 2023

"I enjoyed the practical parts of the course, especially learning about the AI tools."

September 15, 2023
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