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Building and Deploying Your First AI Application

Creating and deploying an AI application, from data preprocessing to model development and deployment.

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$3500

AI Accelerator Building and Deploying Your First AI Application (Elevate) Duration: 30 hours

Why Choose This Course?

  • Foundations of Artificial Intelligence

  • From Data to Model – Data Collection and Model Development

  • Building Intelligent Systems: Deep Learning and Natural Language Processing

  • Deploying, Monitoring & Maintaining AI Applications

Building and Deploying Your First AI Application

This 30-hour program is tailored for Software Engineers with over two years of professional experience and a background in Python and AI, providing them with a strong foundation in AI development and deployment. Divided into four modules, the program combines practical exercises and real-world scenarios to walk participants through the process of creating and deploying an AI application, covering areas such as data preprocessing, model development, and deployment.

Learning Outcomes

Comprehensive AI foundations

  • Gain a strong understanding of AI, including its applications, ethical considerations, and key machine learning techniques.

Hands-on learning

  • Work with real datasets to build, train, and evaluate AI models using industry-standard tools and best practices.

Cutting-edge techniques

  • Explore deep learning, neural networks, and natural language processing to develop intelligent AI systems.

Practical industry applications

  • Learn to deploy, monitor, and maintain AI-powered solutions in real-world business environments.

Industry-recognized credential

  • Stand out in the job market with a certification that validates your AI expertise and enhances your career opportunities.

Course Outline

Foundations of Artificial Intelligence

  • Understand the core principles of AI, along with its various applications and use cases.
  • Learn about the different types of AI approaches,including supervised, unsupervised, and reinforcement learning.
  • Explore the key concepts behind machine learning, neural networks, and deep learning.
  • Assess the ethical challenges in developing AI systems that may learn from biased data or be exploited by malicious entities, while emphasizing the importance of fairness, privacy, and security.
  • Configure the appropriate working environment for AI development.

From Data to Model - Data Collection and Model Development

  • Gather appropriate datasets from diverse sources to construct AI models.
  • Establish best practices for developing efficient machine learning algorithms using supervised techniques like decision trees, random forests, and neural networks.
  • Implement core supervised machine learning methods such as linear regression, decision trees, and random forests to create predictive models with labelled data.
  • Showcase unsupervised learning methods, including clustering and association rules, for analyzing datasets without labelled training data (e.g., market segmentation).
  • Understand the key concepts of model evaluation metrics such as accuracy, precision/recall, and f1-scores to choose the best-performing models.

Building Intelligent Systems: Deep Learning and Natural Language Processing

  • Dive into the role of deep neural networks in supervised machine learning tasks.
  • Outline the application of deep neural networks in supervised machine learning tasks.
  • Recognize algorithms for image recognition, techniques for feature extraction in images and videos, methods for object detection, and approaches for scene analysis.
  • Define advanced deep learning concepts such as hyperparameter tuning, transfer learning, multi-layer neural networks with attention mechanisms, and more.
  • Learn the fundamentals of natural language processing, including tasks like tokenization, part-of-speech tagging, syntactic parsing, semantic analysis, sentiment analysis, and others.

Deploying, Monitoring & Maintaining AI Applications

  • Deploy an AI-driven solution in a live production setting.
  • Deploy an AI-driven solution in a live production setting.

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Level 3/44 Martin Pl, Sydney NSW 2000

1300 520 270

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