Turbocharge Your Code! Generative AI Boot Camp for Developers Training in Malta

  • Learn via: Classroom
  • Duration: 3 Days
  • Price: From €3,243+VAT
Use Cutting-Edge Tech to Generate Code, Documentation, and Tests, Enhance User Interfaces, and Create Flexible, Dynamic Content.

Generative AI represents an exhilarating frontier in artificial intelligence, specializing in the creation of new data instances, imitation of real data, and content generation. Its remarkable capabilities facilitate automated content creation, enriched user experiences, and groundbreaking solutions across diverse industries, ultimately fueling efficiency and transcending technological limits. By harnessing the power of generative AI, developers can craft dynamic content, produce code and documentation, refine user interfaces, and devise customized recommendations, empowering them to construct highly efficient and custom solutions for a wide range of applications.

Designed for experienced programmers, Turbocharge Your Code! Generative AI Boot Camp for Developers is a three-day workshop-style course that teaches you the latest skills and tools required to master generative AI models, transforming the way you approach software development. In today's fast-paced technological landscape, generative AI has emerged as a game-changer, with leading companies like NVIDIA, OpenAI, and Google leveraging its capabilities to push the boundaries of innovation.

By learning how to harness the power of generative models such as GANs, VAEs, and Transformer models, you will be able to generate code, documentation, and tests, enhance user interfaces, and create dynamic content that adapts to user needs. Our comprehensive curriculum covers everything from the fundamentals of generative AI to advanced techniques and ethical considerations, including hands-on labs where you will develop and deploy custom models using state-of-the-art AI tools and libraries like TensorFlow and Hugging Face Transformers.

Throughout the course you’ll focus on practical application and collaboration, building confidence with personalized guidance and real-time feedback from our expert live instructor. Upon completion, you will be equipped with the knowledge and experience necessary to develop and implement innovative generative AI models across various industries, improving existing products, creating new applications, and gaining highly-valuable skills in the rapidly advancing field of AI.



Is This The Right Course?

This course is highly technical in nature. In order to gain the most from attending you should possess the following incoming skills:

  • Python programming experience (Python syntax and constructs, experience with NumPy and Pandas)
  • Basic understanding of artificial intelligence and machine learning concepts (supervised and unsupervised learning, neural networks, optimization techniques)
  • Some experience with data manipulation and preprocessing (working with various data formats, such as text, images, and structured data, preprocessing and cleaning data for use in machine learning models.

 

  • Building intelligentg Application with AI and ML – Level 1
  • Python Foundations

Who Should Attend?

The ideal audience for this intermediate and beyond level course consists of software developers, programmers, and engineers who are eager to learn and adopt cutting-edge generative AI techniques in their projects. The course is tailored for experienced professionals with a background in programming and a basic understanding of artificial intelligence and machine learning concepts. The hands-on nature of the course ensures that attendees gain practical skills that they can immediately apply in their work.

Attendee roles might include:

  • Software Developers/Programmers: Professionals who want to integrate generative AI into their projects for tasks like code generation, documentation, and testing.
  • Data Scientists: Those looking to expand their skillset by incorporating generative AI models into their data analysis and prediction tasks.
  • Machine Learning Engineers: Individuals who want to specialize in developing and deploying generative AI models for various applications.
  • AI Researchers: Academics and researchers interested in exploring the latest advancements in generative AI and their potential applications in software development.
  • User Interface (UI) and User Experience (UX) Designers: Professionals who want to leverage generative AI for creating dynamic and adaptive interfaces.
  • Technical Product Managers: Managers who oversee the development of AI-driven products and want to understand how generative AI can enhance their offerings.
  • Technical Team Leads: Supervisors responsible for guiding development teams and looking for innovative ways to incorporate generative AI into their projects.
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We can host this training at your preferred location.

Prerequisites

This course is highly technical in nature. In order to gain the most from attending you should possess the following incoming skills:

  • Python programming experience (Python syntax and constructs, experience with NumPy and Pandas)
  • Basic understanding of artificial intelligence and machine learning concepts (supervised and unsupervised learning, neural networks, optimization techniques)
  • Some experience with data manipulation and preprocessing (working with various data formats, such as text, images, and structured data, preprocessing and cleaning data for use in machine learning models.

 

  • Building intelligentg Application with AI and ML – Level 1
  • Python Foundations
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What You Will Learn

Working in an interactive learning environment, led by our engaging AI expert you’ll:

  • Develop a strong foundational understanding of generative AI techniques and their applications in software development.
  • Gain hands-on experience working with popular generative AI models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models.
  • Master the use of leading AI libraries and frameworks, such as TensorFlow, Keras, and Hugging Face Transformers, for implementing generative AI models.
  • Acquire the skills to design, train, optimize, and evaluate custom generative AI models tailored to specific software development tasks.
  • Learn to fine-tune pre-trained generative AI models for targeted applications and deploy them effectively in various environments, including cloud-based services and on-premises servers.
  • Understand and address the ethical, legal, and safety considerations of using generative AI, including mitigating biases and ensuring responsible AI-generated content.
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Outline

Day 1

  1. Introduction to Generative AI
    • Unveil the world of generative AI and its applications.
    • Brief history of generative AI
    • Overview of generative models
    • Types of generative AI techniques
    • Applications of generative AI
    • Lab: Setting up the development environment
  2. Deep Learning and GANs
    • Dive into the fundamentals of GANs and their applications.
    • Introduction to deep learning
    • Basic components of GANs
    • GAN architecture and training process
    • Common GAN variants and applications
    • Lab: Simple GAN implementation: Generate synthetic images with GAN; using TensorFlow, Keras
  3. Variational Autoencoders (VAEs)
    • Explore VAEs and learn their applications in generative AI.
    • Introduction to VAEs
    • VAE architecture and training process
    • Applications of VAEs
    • Comparing VAEs and GANs
    • Lab: VAE for image generation: Create images with a VAE model; using TensorFlow and Keras

Day 2

  1. Natural Language Generation (NLG)
    • Uncover the power of NLG and its applications in generative AI.
    • Introduction to NLG
    • Overview of language models
    • Transformer architecture and variants
    • Applications of NLG in generative AI
    • Lab: Text generation using GPT: Generate text with GPT-based models; using Hugging Face Transformers
  2. Ethics and Responsible AI
    • Understand the ethical implications of generative AI applications.
    • AI ethics and its importance
    • Bias in generative models
    • Responsible AI and best practices
    • Future research and open problems
    • Lab: Bias detection and mitigation: Identify and mitigate biases in generative models; using TensorFlow, AI Fairness 360

Day 3

  1. Multimodal Generative AI
    • Discover the potential of combining different data modalities in generative AI.
    • Introduction to multimodal AI
    • Text-to-image synthesis
    • Audio-to-video synthesis
    • Applications of multimodal generative AI
  2. Style Transfer and Neural Art
    • Explore the creative side of generative AI with style transfer techniques.
    • Introduction to style transfer
    • Neural style transfer algorithms
    • Applications of style transfer in generative AI
    • Limitations and future directions
    • Lab: Implement neural style transfer: Create artistic images using neural style transfer; using TensorFlow, Keras, VGG-19
  3. Generative AI in the Real World
    • Gain insights on practical applications of generative AI across various domains.
    • Generative AI in marketing and advertising
    • Generative AI in entertainment and gaming
    • Generative AI in healthcare and life sciences
    • Generative AI in finance and economics
    • Lab: Develop a simple AI-powered application: Build a practical generative AI application; using Pinecone and LangChain
  4. Capstone: Building and Deploying Generative AI Models
    • Learn best practices for building, fine-tuning, and deploying generative AI models.
    • Model selection and fine-tuning
    • Deployment strategies
    • Monitoring and maintenance
    • Ensuring user privacy and security
    • Lab: Deploy a generative AI model
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Contact us for more detail about our trainings and for all other enquiries!

Avaible Training Dates

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

24 April 2025 (3 Days)
Birkirkara, Qormi, Mosta
Classroom / Virtual Classroom
€3,243 +VAT
02 May 2025 (3 Days)
Birkirkara, Qormi, Mosta
Classroom / Virtual Classroom
€3,243 +VAT
04 May 2025 (3 Days)
Birkirkara, Qormi, Mosta
Classroom / Virtual Classroom
€3,243 +VAT
23 May 2025 (3 Days)
Birkirkara, Qormi, Mosta
Classroom / Virtual Classroom
€3,243 +VAT
09 June 2025 (3 Days)
Birkirkara, Qormi, Mosta
Classroom / Virtual Classroom
€3,243 +VAT
08 July 2025 (3 Days)
Birkirkara, Qormi, Mosta
Classroom / Virtual Classroom
€3,243 +VAT
11 July 2025 (3 Days)
Birkirkara, Qormi, Mosta
Classroom / Virtual Classroom
€3,243 +VAT
07 August 2025 (3 Days)
Birkirkara, Qormi, Mosta
Classroom / Virtual Classroom
€3,243 +VAT
Turbocharge Your Code! Generative AI Boot Camp for Developers Training Course in Malta

Officially known as the Republic of Malta, is an island country in the Mediterranean Sea, South of Sicily. While Malta being the world's tenth smallest country in area and fourth most densely populated sovereign country, the capital city of the island country is Valletta. Malta consists of three islands: Malta, Gozo, and Comino and Malta is the largest island among all. The official languages of Malta are Maltese and English and based on the data from 2019, the population is about 514,564.

Winter season in Malta is delightfully mild, with temperatures above 12 degrees, so it makes the Maltese Islands a perfect year-round destination. But tourists usually prefer traveling to Malta either in April, May or June. Since in those months, Malta is warm without being too hot. In the early Spring season, travelers may also enjoy the glorious wildflower season.

Enhance your IT skills with our comprehensive array of courses, spanning programming, software development, data science, and project management. Benefit from the convenience of choosing your preferred location in Malta as our experienced instructors deliver interactive training and real-world insights.
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