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03 Days 03 Hours 03 Minutes 03 Seconds

Developing AI applications requires more than theory. It demands programming skill, model evaluation, and real-world system design. This hands-on course is built for IT professionals ready to step into the AI space. Participants will learn Python for AI development, explore LLMs, and gain experience with tools such as LangChain, Hugging Face, and Azure AI Hub. The course focuses on deployment, prompt engineering, and building robust AI systems.

Learning Outcomes:

  • Analyse the programming structure used in the AI application.
  • Apply essential principles to optimize algorithms efficiency when designing and developing AI model for specific tasks
  • Evaluate the strengths and limitations of the data model used in the AI applications
  • Evaluate the feasibility of the deployed AI data model.
  • Improve the AI application to ensure its relevance for the organisation.

Key Topics:

  • Python programming and machine learning foundations
  • Generative AI tools and security
  • Prompt engineering for developers
  • Chatbot development and multimodal AI
  • LangChain, Hugging Face, and large language models

Module 1 : Introduction To Python Programming

Module 2 : Operators and Variables in Python

Module 3 : Python Datatypes and functions

Module 4: File Handling

Module 5 : Introduction To Machine Learning

Module 6 :Working with NumPy and Pandas

Module 7 : Supervised VS Un-supervised Learning

Module 8 : Linear regression - Multi variables

Module 9 :Analyze multiple algorithms

Module 10: Evaluate decision tree and liner regression

Module 11: Working with Generative AI

Module 12: Generative AI - Security and AI in different sectors

Module 13 : Prompt Engineering Concepts

Module 14 : Prompts for Python Developers

Module 15 : Design and Develop ChatBots (Cricket ChatBot, Web-based ChatBot, PDF ChatBot, Multimodal ChatBot, ChatBot to Interact with Web Data)

Module 16 : Working with LangChain

Module 17 : Working with Natural Language Processing (Text classification, Text summarization and data cleaning)

Module 18 : Large Language Model

Module 19 : Using OpenAI LLM- NLP Tasks

Module 20 : Using Anthopic LLM – NLP Tasks * Anthropic chatbot

Module 21 : Hugging face Concepts

Module 22 : Hugging face NLP Tasks

Module 23 : Finetune a LLM Model

Module 24 : Azure AI Hub

*Important Note : Fees are subject to Singapore's prevailing Goods and Services Tax (GST).
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