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Awarded TIME World's Top EdTech Rising Stars of 2025 Celebrating 10 YEARS of learning at Academy Xi Awarded TIME World's Top EdTech Rising Stars of 2025 Celebrating 10 YEARS of learning at Academy Xi

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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  • 1300 520 270
  • enterprise@academyxi.com
  • Level 3/44 Martin Pl, Sydney NSW 2000

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