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Introduction to Generative AI Training in Cyprus

Introduction to Generative AI Training in Cyprus

The Most Comprehensive Certification Course for Guaranteed Career Success

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Unlock the future of technology with our Instructor-led Introduction to Generative AI Foundation Live Online Training. This Introduction to Generative AI Fundamental Course is your gateway to mastering AI's most transformative technologies. Follow the Generative AI Learning Path and gain the skills needed to revolutionise industries and drive innovation. Join now and shape the future with AI.

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Expert-Led Study Sessions

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Flexible Monthly Payment Plans

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Real-World Case Studies

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Hands-On Project Experience

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  • 450K+

    Professionals trained

  • 250+

    Workshops every month

  • 20+

    Trainers

Generative AI Fundamental Course Overview

Simpliaxis' Generative AI Fundamental Course is meticulously designed to empower learners with a solid foundation in this transformative technology. From unravelling the core principles of Generative AI to mastering its applications, this course is your gateway to the forefront of innovation.

This Generative AI Learning Path, encompasses popular generative models, prompt engineering techniques, ethical considerations, and practical tools. Participants will explore deep learning architectures like autoencoders and GANs, explore large language models (LLMs), and learn to fine-tune them for specific tasks. You will also gain proficiency in building code, images, and chatbots, using frameworks like Rasa and ChatGPT API.

Through Generative AI Fundamental training, Simpliaxis empowers participants to harness the potential of this revolutionary field. Graduates will gain the knowledge and skills to build real-world solutions across various domains. Whether you are an aspiring AI engineer, data scientist, or creative professional, this course makes you contribute to the next wave of technological advancements.

Skills Covered in this Generative AI Course

  • Leveraging Generative AI
  • Large Language Models
  • Prompt Engineering
  • Working with ChatGPT
  • Transformer Architectures
  • Building Chatbots

Tools Covered in Generative AI Learning Path

  • Python
  • ChatGPT
  • MidJourney
  • Gemini
  • TensorFlow
  • Keras
  • Visual Studio
  • Jupyter

Simpliaxis' Generative AI Fundamental Course is meticulously designed to empower learners with a solid foundation in this transformative technology. From unravelling the core principles of Generative AI to mastering its applications, this course is your gateway to the forefront of innovation.

This Generative AI Learning Path, encompasses popular generative models, prompt engineering techniques, ethical considerations, and practical tools. Participants will explore deep learning architectures like autoencoders and GANs, explore large language models (LLMs), and learn to fine-tune them for specific tasks. You will also gain proficiency in building code, images, and chatbots, using frameworks like Rasa and ChatGPT API.

Through Generative AI Fundamental training, Simpliaxis empowers participants to harness the potential of this revolutionary field. Graduates will gain the knowledge and skills to build real-world solutions across various domains. Whether you are an aspiring AI engineer, data scientist, or creative professional, this course makes you contribute to the next wave of technological advancements.

Skills Covered in this Generative AI Course

  • Leveraging Generative AI
  • Large Language Models
  • Prompt Engineering
  • Working with ChatGPT
  • Transformer Architectures
  • Building Chatbots

Tools Covered in Generative AI Learning Path

  • Python
  • ChatGPT
  • MidJourney
  • Gemini
  • TensorFlow
  • Keras
  • Visual Studio
  • Jupyter

Introduction to Generative AI - Key Features

  • 21 Hours Online Weekend Live Instructor Training
  • Unlimited Access to Course Content
  • Resolve Doubts in Real-time
  • Hands-On Project Based Learning
  • Global Recognition
  • Interactive Workshops
  • Comprehensive Curriculum
  • 24/7 Support and Learning Assistance

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  • Afghanistan (+93)
  • Albania (+355)
  • Algeria (+213)
  • Andorra (+376)
  • Angola (+244)
  • Argentina (+54)
  • Armenia (+374)
  • Australia (+61)
  • Austria (+43)
  • Azerbaijan (+994)
  • Bahrain (+973)
  • Bangladesh (+880)
  • Belarus (+375)
  • Belgium (+32)
  • Benin (+229)
  • Bermuda (+1)
  • Bolivia (+591)
  • Botswana (+267)
  • Brazil (+55)
  • Bulgaria (+359)
  • Cambodia (+855)
  • Cameroon (+237)
  • Canada (+1)
  • Central African Republic (+236)
  • Chile (+56)
  • China (+86)
  • Colombia (+57)
  • Croatia (HR)
  • Cuba (+53)
  • Cyprus (+357)
  • Czech Republic (+420)
  • Denmark (+45)
  • Egypt (+20)
  • Estonia (+372)
  • Ethiopia (+251)
  • Fiji (+679)
  • Finland (+358)
  • France (+33)
  • Georgia (+995)
  • Germany (+49)
  • Ghana (+233)
  • Greece (+30)
  • Hong Kong (+852)
  • Hungary (+36)
  • Iceland (+354)
  • India (+91)
  • Indonesia (+62)
  • Iran (+98)
  • Iraq (+964)
  • Ireland (+353)
  • Israel (+972)
  • Italy (+39)
  • Jamaica (+1)
  • Japan (+81)
  • Jordan (+962)
  • Kenya (+254)
  • Kuwait (+965)
  • Latvia (+371)
  • Lebanon (+961)
  • Liberia (+231)
  • Libya (+218)
  • Lithuania (+370)
  • Luxembourg (+352)
  • Malaysia (+60)
  • Maldives (+960)
  • Malta (+356)
  • Mexico (+52)
  • Mongolia (+976)
  • Montenegro (+382)
  • Myanmar (+95)
  • Nepal (+977)
  • Netherlands (+31)
  • New Zealand (+64)
  • Nigeria (+234)
  • North Korea (+850)
  • Northern Ireland (+44)
  • Norway (+47)
  • Oman (+968)
  • Pakistan (+92)
  • Panama (+507)
  • Papua New Guinea (+675)
  • Paraguay (+595)
  • Peru (+51)
  • Philippines (+63)
  • Poland (+48)
  • Portugal (+351)
  • Qatar (+974)
  • Reunion (+262)
  • Romania (+40)
  • Russia (+7)
  • San Marino (+378)
  • Saudi Arabia (+966)
  • Senegal (+221)
  • Serbia (+381)
  • Singapore (+65)
  • Slovakia (+421)
  • Slovenia (+386)
  • Somalia (+252)
  • South Africa (+27)
  • South Korea (+82)
  • South Sudan (+211)
  • Spain (+34)
  • Sri Lanka (+94)
  • Sudan (+249)
  • Sweden (+46)
  • Switzerland (+41)
  • syria (+963)
  • Taiwan (+886)
  • Tanzani (+255)
  • Thailand (+66)
  • Tunisia (+216)
  • Turkey (+90)
  • UAE (+971)
  • Uganda (+256)
  • Ukraine (+380)
  • United Kingdom (+44)
  • Uruguay (+598)
  • USA (+1)
  • Uzbekistan (+998)
  • Venezuela (+58)
  • Vietnam (+84)
  • Yemen (+967)
  • Zambia (+260)
  • Zimbabwe (+263)
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Course Overview

Generative AI Fundamental Course Overview

Simpliaxis' Generative AI Fundamental Course is meticulously designed to empower learners with a solid foundation in this transformative technology. From unravelling the core principles of Generative AI to mastering its applications, this course is your gateway to the forefront of innovation.

This Generative AI Learning Path, encompasses popular generative models, prompt engineering techniques, ethical considerations, and practical tools. Participants will explore deep learning architectures like autoencoders and GANs, explore large language models (LLMs), and learn to fine-tune them for specific tasks. You will also gain proficiency in building code, images, and chatbots, using frameworks like Rasa and ChatGPT API.

Through Generative AI Fundamental training, Simpliaxis empowers participants to harness the potential of this revolutionary field. Graduates will gain the knowledge and skills to build real-world solutions across various domains. Whether you are an aspiring AI engineer, data scientist, or creative professional, this course makes you contribute to the next wave of technological advancements.

Skills Covered in this Generative AI Course

  • Leveraging Generative AI
  • Large Language Models
  • Prompt Engineering
  • Working with ChatGPT
  • Transformer Architectures
  • Building Chatbots

Tools Covered in Generative AI Learning Path

  • Python
  • ChatGPT
  • MidJourney
  • Gemini
  • TensorFlow
  • Keras
  • Visual Studio
  • Jupyter

Introduction to Generative AI Training Training Highlights

Introduction to Generative AI - Key Features

21 Hours Online Weekend Live Instructor Training

Unlimited Access to Course Content

Resolve Doubts in Real-time

Hands-On Project Based Learning

Global Recognition

Interactive Workshops

Comprehensive Curriculum

24/7 Support and Learning Assistance

Reasons to Enroll this Generative AI Foundation Course

Generative AI Boost Your Career

Introduction to Generative AI Learning Opportunities

Upon successfully completing the Introduction to Generative AI Fundamentals course, participants will:

  • Gain a deep and comprehensive understanding of generative AI's core principles, key applications, and transformative impact across various industries.
  • Develop hands-on experience through engaging interactive sessions and practical exercises, translating theoretical understanding into real-world problem-solving skills.
  • Get a deep understanding of key generative AI algorithms like GANs, VAEs, and Transformers, learning how they work and their practical uses.
  • Explore the vast creative possibilities of generative AI, generating realistic images, text, music, and other media, encouraging innovation and experimentation.
  • Understand and address the ethical implications associated with generative AI, including privacy concerns, bias, and potential misuse, encouraging responsible AI practices.
  • Ultimately, participants will graduate with the foundational knowledge, practical skills, and ethical awareness necessary to harness the power of generative AI effectively and responsibly, making informed contributions within their fields.

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Reasons to Enroll this Generative AI Foundation Course

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Introduction to Generative AI Learning Opportunities

  • Gain a deep and comprehensive understanding of generative AI's core principles, key applications, and transformative impact across various industries.
  • Develop hands-on experience through engaging interactive sessions and practical exercises, translating theoretical understanding into real-world problem-solving skills.
  • Get a deep understanding of key generative AI algorithms like GANs, VAEs, and Transformers, learning how they work and their practical uses.
  • Explore the vast creative possibilities of generative AI, generating realistic images, text, music, and other media, encouraging innovation and experimentation.
  • Understand and address the ethical implications associated with generative AI, including privacy concerns, bias, and potential misuse, encouraging responsible AI practices.
  • Ultimately, participants will graduate with the foundational knowledge, practical skills, and ethical awareness necessary to harness the power of generative AI effectively and responsibly, making informed contributions within their fields.

Upon successfully completing the Introduction to Generative AI Fundamentals course, participants will:

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Introduction to Generative AI Training Practice Test Series

  • Immediate Result
  • Sample Papers
  • Time-Limited
  • Comprehensive Explanation
  • Previous Exam

Individual & Organizational Benefits

By enrolling in the Generative AI Fundamentals Course, individuals will gain several benefits, 

  • Gain a strong grasp of Generative AI concepts and applications.
  • Learn how to leverage AI to solve real-world problems creatively.
  • Craft effective prompts to get the best results from AI models.
  • Apply theoretical knowledge through practical exercises and projects.
  • Prepare yourself for the growing demand for Generative AI expertise.

As organizations have numerous benefits when their employees complete this Generative AI course,

  • Upskills workforce in AI, boosting productivity and efficiency.
  • Enables informed decision-making about AI adoption and investment.
  • Encourages innovation by inspiring new AI-driven products or services.
  • Enhances competitive advantage by staying ahead of industry trends.
  • Improves employee engagement by offering professional development.

Who usually attend Introduction to Generative AI Training Training

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Individuals Aiming to Pursue a Career in AI

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Data Scientists

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AI Researchers

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AI Developers

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Software Developers

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Marketing Professionals

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Retail Professionals

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Anyone with a Passion for AI

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Novices or seasoned AI practitioners

Benefits focused on Individuals and corporate

Individual & Organizational Benefits

Individual
  • Gain a strong grasp of Generative AI concepts and applications.
  • Learn how to leverage AI to solve real-world problems creatively.
  • Craft effective prompts to get the best results from AI models.
  • Apply theoretical knowledge through practical exercises and projects.
  • Prepare yourself for the growing demand for Generative AI expertise.
Organizational
  • Upskills workforce in AI, boosting productivity and efficiency.
  • Enables informed decision-making about AI adoption and investment.
  • Encourages innovation by inspiring new AI-driven products or services.
  • Enhances competitive advantage by staying ahead of industry trends.
  • Improves employee engagement by offering professional development.

Common attendees

Who usually attend Introduction to Generative AI Training Training

  • Individuals Aiming to Pursue a Career in AI
  • Data Scientists
  • AI Researchers
  • AI Developers
  • Software Developers
  • Marketing Professionals
  • Retail Professionals
  • Anyone with a Passion for AI
  • Novices or seasoned AI practitioners
attended

Prerequisites for Introduction to Generative AI Training certification training

Prerequisites and Eligibility

Generative AI Fundamental Training Eligibility

There are no mandatory eligibility criteria needed for this Introduction to Generative AI course. However, having the following is beneficial:

  • Basic knowledge of Python programming
  • Problem-solving skills
  • Understanding of machine learning fundamentals
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Curriculum

Introduction to Generative AI Training curriculum in Cyprus

COURSE Curriculum

Introduction to Generative AI Training curriculum in Cyprus

Topics

  • Introduction to Generative AI
  • What is Generative AI?
  • Generative AI explained
  • Generative vs Discriminative Models
  • Popular Generative AI Tools
  • Applications of Generative Models
  • Applications of Generative AI
  • Generative AI: Advantages and Disadvantages
  • Ethical Considerations

Hands-On Projects

  • Implementing Generative AI Use Cases

Skills You Will Learn

  • Generative AI Fundamentals
  • Generative AI for Problem Solving
  • Ethical Insights into Generative AI

Topics

  • Introduction to Prompt Engineering
  • Why Prompt Engineering?
  • What is Prompt Engineering?
  • Applications of Prompt Engineering
  • Importance and Applications
  • Prompt Design Strategies
  • Types of Prompting
  • Priming Prompts
  • Prompt Decomposition
  • How to Get Better Responses from ChatGPT

Hands-On Projects

  • Designing Precise Prompts
  • Experimenting with Various Prompt Design Strategies

Skills You Will Learn

  • Prompt Engineering Principles
  • Crafting Effective Prompts

Topics

  • Natural Language Processing (NLP) Essentials
  • Deep Learning Fundamentals
  • Neural Networks
  • Basic Autoencoders
  • Variational Autoencoders (VAEs)
  • Applications in Data Compression and Generation
  • GAN Architecture
  • Exploring Language Models
  • Types of Language Models
  • Applications of Language Models
  • The Transformer Architecture: Attention Mechanism
  • Advanced Transformer Models

Hands-On Projects

  • Working with GANs
  • Data Compression with Autoencoders
  • Working with GPT Implementing BERT

Skills You Will Learn

  • Working with Autoencoders and VAEs
  • Working with Language Models
  • Transformer Architecture
  • Implementing Transformer-based Models

Topics

  • LLMs and Generative AI Project Lifecycle
  • LLM Pre-Training and Scaling
  • Fine-Tuning LLMs with Specific Instructions
  • Efficient Fine-Tuning of Parameters
  • Reinforcement Learning from Human Response

Hands-On Projects

  • Experimenting with LLM
  • Applying Fine-Tuning on Parameters
  • LLM Project Lifecycle
  • Reinforcement
  • Learning Exercises

Skills You Will Learn

  • LLM Scaling and Pre-training
  • Fine-tuning Techniques for LLMs
  • Implementing Reinforcement Learning in LLMs

Topics

  • Generative AI for Software Development
  • Generative AI for Retail
  • Generative AI Application in Marketing
  • Generative AI for Data Science

Hands-On Projects

  • Leveraging Generative AI for Software Development
  • Generative AI for Retail
  • Application of Generative AI in Marketing

Skills You Will Learn

  • Code Generation
  • Creating Images
  • Content Generation

Topics

  • Interactive Chatbot using Rasa
  • Chatbot using ChatGPT API

Hands-On Projects

  • Build an interactive chatbot using Rasa
  • Build a chatbot using ChatGPT API

Skills You Will Learn

  • ChatGPT API integration
  • Chatbot creation
  • Rasa framework integration
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What you will learn in this Introduction to Generative AI Training workshop

Learning Objectives

Fundamentals & Problem Solving

Gain a solid understanding of Generative AI's core principles and its applications in solving real-world challenges.

Prompt Engineering

Develop the skills to design prompts that elicit optimal responses from AI models, maximizing their potential.

Algorithms

Delve into the inner workings of algorithms like GANs and VAEs that power AI's creative capabilities.

Transformer Models

Learn the architecture and implementation of Transformer models, the backbone of many advanced AI systems.

LLM Scaling & Pre-training

Explore how Large Language Models are scaled up and pre-trained on massive datasets to achieve their impressive performance.

Fine-tuning LLMs

Discover how to customize LLMs for specific tasks, enhancing their accuracy and relevance for your applications.

Reinforcement Learning in LLMs

Understand how reinforcement learning techniques improve the decision-making and adaptability of LLMs.

Creative Applications

Harness AI's creative power to generate code, images, and compelling content across various domains.

ChatGPT API

Learn how to seamlessly incorporate ChatGPT's capabilities into your applications using its powerful API.

Chatbots & Rasa

Build intelligent chatbots and integrate them with the Rasa framework for natural language understanding and conversational flow.

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Introduction to Generative AI Training Certification COURSE For Corporates

Why SimpliAxis Is The First Choice For Corporates?

Simpliaxis provides In person and live virtual instructor- led corporate training program customized for enterprise teams who wish to train their employees on specific aspects of their job processes or responsibilities. The corporate training by our expert certified trainers will enhance your learning curve and enable your teams to utilize their skills to meet the industry standards

  • The tool-based learning, guiding, tracking, and grading Customized curriculum as per the team's and company's needs.
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  • VectorTrained more than 5000+students.
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  • VectorStrong Theoretical & Practical Knowledge.
  • VectorCertified Professionals with High Grade.
  • VectorExpert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • VectorTrainers have Experienced in multiple real-time projects in their Industries.

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Generative AI Fundamental Course FAQs

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What is Generative AI?

Generative AI refers to a type of artificial intelligence that can create new, original content. This content can include text, images, music, videos, or even code. It works by learning patterns from large datasets and then using that knowledge to generate new data that has similar characteristics. Examples of generative AI models include ChatGPT for text generation, DALL-E for image creation, and MusicLM for music composition.

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Introduction to Generative AI Training Course FAQs

Generative AI Fundamental Course FAQs

Generative AI refers to a type of artificial intelligence that can create new, original content. This content can include text, images, music, videos, or even code. It works by learning patterns from large datasets and then using that knowledge to generate new data that has similar characteristics. Examples of generative AI models include ChatGPT for text generation, DALL-E for image creation, and MusicLM for music composition.

Prompt Engineering is the process of crafting effective instructions or prompts to guide the output of a generative AI model. Think of it as communicating with the AI to get the specific results you desire. It involves understanding how the model interprets language, using clear and specific wording, providing context, and even iterating on prompts to refine the output.

Generative AI has a wide range of applications, including:

  • Content Creation: Writing articles, generating marketing copy, creating images and videos for social media, and composing music.
  • Coding: Generating code snippets, automating repetitive coding tasks, and assisting in debugging.
  • Design: Generating design ideas, creating logos, assisting in user interface design.
  • Education: Generating personalized learning materials, and creating interactive simulations.
  • Research: Accelerating drug discovery, generating synthetic data for training models, and aiding in scientific simulations.

The Introduction to Generative AI Fundamentals course is generaly taught by experts in the field of Artificial Intelligence and Machine Learning Who has more than 15+ years of experience.

Yes, an Introduction to Generative AI program is valuable, especially if you're new to the field. It provides foundational knowledge on core concepts and applications, making it beneficial for those looking to understand this rapidly growing technology.

The time required to learn the basics of Generative AI varies depending on your prior knowledge and learning pace. However, our 21-hour weekend live instructor training program provides a comprehensive introduction to the fundamentals, allowing you to gain a solid understanding within that timeframe.

Starting salaries for beginners in Generative AI in India can range from ₹5-12 lakhs per annum, depending on factors like skills, location, and company.

Simpliaxis Offers more course on AI related which are listed below, 

  • Generative AI in HR Certification Course
  • Prompt Engineering Course
  • Generative AI for Software Developers
  • Generative AI in Retail Certification Course
  • Mastering Generative AI Tools Online

No, coding knowledge is not strictly necessary to get started with Generative AI.

Simpliaxis's Introduction to Generative AI Fundamental Course is a great option for learning Generative AI.

The Introduction to Generative AI course generally costs INR 14,999, but the price may vary depending on your location and any available offers.

Ways to kickstart your Generative AI journey:

  1. Take a Course: Enroll in the "Introduction to Generative AI Course" for a step-by-step learning experience.
  2. Dive into the research: Explore fascinating research papers and books to understand the science behind Generative AI.
  3. Get hands-on: Experiment with open-source code and build your own Generative AI projects.
  4. Connect & Learn: Join online communities to chat with fellow enthusiasts and get expert advice.

Find out why 1,000+ professionals love SimpliAxis

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