Building Intelligent Applications with AI and ML - Level 2 Training in Australia

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 2 Days
  • Price: From AUD 3,106
  • Upcoming Date:
  • UK & Australia Based Global Training Provider
Learn Deep Learning concepts and concepts of NLP with this intermediate AI course.

Most intelligent applications involve using huge quantities of data in various formats. Deep learning and linguistics are widely becoming a part of intelligent applications in every field. Natural Language processing is one of the broadly applied areas of machine learning to effectively analyze massive quantities of unstructured, text-heavy data. Intelligent applications using NLP include models that analyze speech and language, uncover contextual patterns, and provide insights from text and audio.

This course focuses on covering deep learning concepts required to understand NLP and then focuses on introducing you to the concepts of NLP slowly taking you to basic and advanced NLP models for text processing, analytics, and building applications using NLP.



Is This The Right Course?

  • Basic familiarity with Python programming.
  • Basic understanding of Data Terminologies.
  • Familiarity with enterprise IT.
  • Foundational knowledge in mathematical concepts like linear algebra and probability
  • Basic Linux skills
  • Basic SQL skills
  • Should have attended 'Building Intelligent Applications with Artificial Intelligence (AI) and Machine Learning (ML) Level 1

Who Should Attend?

This is an Intermediate-level hands-on course suitable for everyone who wants to explore the field of Artificial Intelligence (AI) and Machine Learning (ML). This course covers Deep Learning concepts, Natural Language Understanding and Natural Language Processing, Text Analytics and identifying customer/user sentiment in the available data. This is a level 2 course in building your skills for developing Intelligent applications using Machine Learning and Artificial Intelligence. Anyone who wants to shift their career to AI and ML and who attended Level 1 course can attend this course such as

  • Business Analysts
  • Data Analysts
  • Developers
  • Administrators
  • Architects
  • Managers
We can organize this training at your preferred date and location. Contact Us!

Prerequisites

  • Basic familiarity with Python programming.
  • Basic understanding of Data Terminologies.
  • Familiarity with enterprise IT.
  • Foundational knowledge in mathematical concepts like linear algebra and probability
  • Basic Linux skills
  • Basic SQL skills
  • Should have attended 'Building Intelligent Applications with Artificial Intelligence (AI) and Machine Learning (ML) Level 1

What You Will Learn

  • Understand the basics of Deep Learning
  • Understand Convolutional Neural Networks, their architectures and their applications.
  • Understand Recurrent Neural Networks, their architectures and their applications
  • Understand the basics of Natural Language Processing.
  • Understand various NLP Libraires
  • Understand and perform Text Analytics
  • Apply NLP techniques to predict customer sentiment
  • Dealing with Real-World data

Training Outline

  1. Deep Learning Essentials
    • Understanding Neural Networks, Artificial Neural Network, Perceptron concepts
    • Understanding activation functions and why they are important?
    • Understanding Convolutional Neural Networks
    • CNN Architectures
    • CNN applications
    • Understanding Recurrent Neural Networks
    • RNN Architectures
    • RNN Applications
    • Natural Language Processing
      • Foundations of NLP
      • Various NLP Libraries
      • Understand NLP concepts like Morphology, Lemmetization, Stemming, Part-of-Speech tagging
      • Understanding Text Analytics
      • Performing Text Analytics with a case study
    • Natural Language Processing with Deep Learning
      • Applications of Deep Learning in NLP
      • Deep Learning Libraries for building NLP applications
      • Word Embeddings
      • Identifying Sentiments in Customer Reviews - case study
  2. Advanced NLP Models
    • Understand and Differentiate between LSTMs, GRUs, GPT Models
    • Understand Sequence to Sequence Models
    • Understand Attention Models
    • Understand Transformer Models
    • A Deep Dive into Machine Translation using NLP
    • Building a real-world End-End NLP Application
      • Data Gathering
      • Data Cleaning and Pre-processing
      • Building and evaluating NLP Models
    • GUI and REST APIs
      • Building UI for your Machine Learning Models
      • Building a REST API for your Models

Why Choose Us

Experience Building Intelligent Applications with AI and ML - Level 2 in Australia through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Australia and worldwide, with flexible planning options for individual and corporate training needs.

Experience Building Intelligent Applications with AI and ML - Level 2 in a focused classroom environment in Australia. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Building Intelligent Applications with AI and ML - Level 2 in Australia solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.


Contact us for more detail about our trainings and for all other enquiries!

Building Intelligent Applications with AI and ML - Level 2 Training Course in Australia Schedule

Join our public courses in our Australia facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
07 July 2026 (2 Days)
Sydney, Melbourne, Brisbane, Perth
AUD 3,106
18 July 2026 (2 Days)
Sydney, Melbourne, Brisbane, Perth
AUD 3,106
20 July 2026 (2 Days)
Sydney, Melbourne, Brisbane, Perth
AUD 3,106
12 August 2026 (2 Days)
Sydney, Melbourne, Brisbane, Perth
AUD 3,106
21 August 2026 (2 Days)
Sydney, Melbourne, Brisbane, Perth
AUD 3,106
19 September 2026 (2 Days)
Sydney, Melbourne, Brisbane, Perth
AUD 3,106
24 September 2026 (2 Days)
Sydney, Melbourne, Brisbane, Perth
AUD 3,106
09 October 2026 (2 Days)
Sydney, Melbourne, Brisbane, Perth
AUD 3,106

Australia’s technology scene is a powerhouse of innovation in the Southern Hemisphere, with Sydney, Melbourne, and Brisbane acting as world-class centers for fintech, cloud computing, and software development. The nation’s digital economy is supported by top-tier academic institutions like the University of New South Wales (UNSW) and the University of Melbourne, which foster a culture of research excellence in Cybersecurity and Artificial Intelligence. Australia has become a global leader in mining-tech and sustainable energy software, requiring a workforce that is proficient in the latest DevOps and Data Science frameworks. Our training solutions in Australia are designed to meet these high industry standards, offering specialized certifications that empower professionals to lead digital transformation projects across the Oceania region. We provide the technical expertise necessary to excel in a highly competitive and digitally integrated market that consistently attracts global tech investment.

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