Applied GenAI Specialisation Learning Path
Who will benefit
This learning path, provided by our partner Simplilearn, is aimed at working professionals from a variety of industries and backgrounds. It will specifically benefit anyone working in the following roles:
- Software Engineers
- IT Professionals
- Data Professionals
- Product Managers
- AI Professionals
- ML Engineers
- Data Scientists
- Aspiring Generative AI
- Prompt Engineers
Course overview
Master Generative AI with this state-of-the-art program offered by Simplilearn. Delve into prompt engineering, large language models, attention mechanisms, RAG, and LLM fine-tuning. Gain expertise in essential tools and pave the way for the future of intelligent systems.
Course highlights
- 50-60 hours of instructor-led online classes
- Access to hands on projects
Key learning outcomes
Python basics
- Gain proficiency in procedural and object-oriented programming using Python, recognizing its advantages.
- Install Python and its integrated development environment; familiarize with Jupyter Notebook for practical applications.
- Understand Python's fundamental concepts, including identifiers, data types, operators, loops, variable scope, indentations, comments, and string functions.
Essentials of Generative AI, Prompt Engineering & ChatGPT
- Understand the fundamentals, mechanisms, and significance of ChatGPT and generative AI, including explainable AI.
- Apply prompt engineering techniques and explore diverse applications, use cases, and fine-tuning methods for ChatGPT.
- Examine the potential of generative AI to revolutionize industries and gain in-depth knowledge of prominent generative AI tools.
Applied Generative AI
- Gain comprehensive skills in generative models, including LLMs, VAEs, and GANs, and understand their architectures and capabilities.
- Learn advanced prompt engineering techniques, fine-tuning, and customizing LLMs for specific applications.
- Understand the critical role of benchmarking in evaluating and comparing the performance of generative AI models.
Generative AI Governance
- Understand the importance of governance in generative AI, including ethical considerations, regulatory challenges, accountability, and risk mitigation.
- Learn the ethical foundations of AI, responsible development, bias mitigation, privacy, and setting up AI governance committees.
- Gain knowledge in identifying and mitigating AI project risks, integrating governance in AI projects, and understanding regulatory trends and career opportunities in AI governance.
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Why Choose ILX learning?
10,000+
graduates in Australia
graduates in Australia
Delivering
in Australia since 2010
in Australia since 2010
96%
customer satisfaction
customer satisfaction
Companies we work with
ILX provides bespoke and personalised training solutions that drive measurable business impact and deliver value for teams of all sizes.