Generative AI is increasingly influencing how technical and business teams develop products, assess information and support operational decisions. This learning path, delivered by Simplilearn, helps you build the technical understanding needed to work confidently with AI technologies. You will move from programming fundamentals into practical AI interaction, model awareness and responsible adoption.
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Applied GenAI Specialisation Learning Path
Course 1
Python basics
Course 2
Essentials of GenAI, Prompt Engineering & ChatGPT
Course 3
Diving Deeper into Generative AI
Course 4
Generative AI Governance
Building practical AI capability
This learning path brings together four complementary areas of learning, helping you develop a broad understanding of how generative AI technologies are created and governed. You will build confidence with Python, explore how to work effectively with prompts, and examine more advanced generative AI concepts in context. The course also considers ethical use, helping you understand how these technologies can be applied with greater control.
Learning objectives
- Configure Python development environments
- Work with Jupyter Notebook
- Understand core programming concepts
- Apply prompt engineering approaches
- Explore generative AI use cases
- Compare generative AI model types
- Evaluate model effectiveness
- Understand AI governance principles
- Address privacy and bias challenges
- Support responsible AI adoption
Key facts
Certification
This is a skills and knowledge-based learning path with no formal exam.
Who it’s for
This learning path is suitable for Software Engineers, IT Professionals, Data Professionals, Product Managers, AI Professionals, ML Engineers, Data Scientists and Prompt Engineers.
Prerequisites
There are no prerequisites for attending this learning path.
Exam information
There is no formal exam associated with this learning path.
Optional extras
There are no optional extras for this course.
Pre-course
There is no pre-course work required before attending.
FAQs
Generative AI is becoming increasingly important across technology, product and business functions. This learning path provides a structured route into using prompt engineering and generative AI models, helping you understand both the technical and organisational aspects of working with modern AI technologies.
Why should I learn generative AI?
Generative AI is increasingly being adopted across organisations to support content creation, automation, analysis and decision-making. Understanding how these technologies work can help professionals participate more effectively in AI-related initiatives and make informed decisions about their use within the workplace.
How does Python support generative AI development?
Python gives you a practical starting point for understanding the technical logic behind AI-related work. The course introduces programming basics, environment setup and notebook-based practice before moving into later AI topics.
What is prompt engineering and why is it important?
Prompt engineering focuses on writing clear instructions that guide generative AI tools towards more appropriate responses. The course explores techniques for shaping outputs, so they are better aligned to the task and context.
What types of generative AI models will I learn about?
The programme introduces several important model types, including large language models (LLMs), variational autoencoders (VAEs) and generative adversarial networks (GANs). You will explore their characteristics, applications and approaches used to evaluate performance.
Does the learning path cover AI governance?
Yes. Governance is covered as a dedicated part of the learning path, with a focus on how organisations manage ethical use, privacy, accountability, bias and risk when adopting generative AI.
What our customers say
"I am very satisfied with the course! It's definitely worth booking the training with the trainer. The trainer, having obviously lots of experience in the area, explained the material very well. Brilliant job! It was intense, but with good energy and I've learned a lot. Thank you!"
Oksana Sawicka, TSG learner
"Very professional and enjoyable training. Would highly recommend!"
Clayton Smithwick, TSG learner
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