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CertNexus - GenAIBIZ

Looptijd

Looptijd:

Slechts 2 dagen

Methode

Methode:

Klas / Online / Hybride

Volgende datum

Volgende datum:

6/6/2024 (Donderdag)

Overview

On this accelerated CertNexus GenAIBIZ course you will gain an understanding of what generative AI is, how it relates to and can benefit business functions, how to identify potential risks, and how to identify the challenges and milestones of implementing generative AI and becoming a generative AI–driven organization.

At the end of this course, you’ll sit the CertNexus exam, and achieve your CertNexus GenAIBIZ certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

 

Audience

This course is ideal for:

  • Business leaders, consultants, product and project managers, and other decision makers who are interested in growing the business by leveraging the power of generative AI. Other business professionals who wish to explore generative AI solutions are also candidates for this assessment.

Bekijk nu de prijzen om erachter te komen hoeveel je kunt besparen als je tweemaal zo snel traint.

 Zie prijzen

Zeven redenen waarom u met uw cursus voor Firebrand Training moet kiezen

  1. U zult in slechts 2 dagen gecertificeerd zijn. Met ons bent u in recordtijd getraind

  2. Onze cursus is all-inclusive. Een eenmalige contributie bekostigt alle cursusmaterialen, accommodaties en maaltijden.

  3. Slaag de eerste keer voor of volg de training nogmaals. Dit is onze garantie. Wij zijn er zeker van dat u de eerste keer zult slagen voor uw cursus. Mocht dit niet het geval zijn, dan kunt u binnen het jaar terugkomen en enkel voor de accommodatie en examens te betalen. De rest is gratis

  4. U zult meer leren. Een dag met een traditionele training aanbieder duurt over het algemeen van 9 uur 's ochtends tot 17 uur in de middag, met een lange lunchpauze. Met Firebrand Training kunt u rekenen op minstens 12 uur leren per dag met uw instructeur

  5. U zult snellerde theorie beheersen. De kans bestaat dat u een andere manier van leren heeft dan uw omgeving. Wij combineren visuele, auditieve en tastbare leerstijlen, dit zorgt voor een snellere en eenvoudigere manier van leren

  6. U zult studeren met de beste. We hebben het Q-For kwaliteit label, dat onze standaarden en professionaliteit in de training markt erkent. Naast het winnen van nog vele andere prijzen, hebben we inmiddels 134561 professionals getraind en gecertificeerd en we zijn partners met alle grote namen in deze tak van het bedrijfsleven

  7. U zult meer doen dan alleen de cursusstof bestuderen. We maken gebruik van laboratoria, case-studies en oefentests, om ervoor te zorgen dat u uw nieuwe kennis in uw werkomgeving kan toepassen. Onze instructeurs gebruiken demonstraties en hun eigen ervaringen om de dag interessant en boeiend te houden

Benefits

Curriculum

Module 1: Identify AI Fundamentals [20%]

Define fundamental AI terms and concepts.

  • Artificial Intelligence
    • General vs. narrow AI
    • Recent history/timeline
    • Enabling technologies
  • Machine Learning
    • Algorithm vs. model
    • Datasets
    • Approaches (supervised vs. unsupervised)
  • Deep Learning
    • ANN
    • Network parameters/weights
    • Hyperparameters
    • Applications
      • NLP
      • Computer vision
  • Model checkpoints

Define generative AI terms and concepts.

  • Generative AI
    • Key organizations
    • Key resources
  • Generative AI modalities
    • Text
    • Code
    • Images
    • Video
    • Audio
    • Multimodal
  • Generative AI approaches
    • GAN
    • VAE
    • GPT
    • Diffusion
    • RLFH
  • Prompting
    • Prompt engineering
    • In-context prompting
  • Fine-tuning models
  • API access

 

 

Module 2: Solve Business Problems with AI-Generated Content [35%]

  • Generate text using AI.
  • LLM
  • Tokens
  • Approaches
    • Text generation
    • Text completion
    • Chatbots
    • Speech to text
    • Transcription
    • Assistive AI with text outputs
  • Prompt engineering for text generation
  • Fine-tuning text models
  • Common text generation tools
    • OpenAI GPT models
    • ChatGPT
    • Bard
    • LLaMA
    • Microsoft 365 Copilot
    • Duet AI
    • Whisper
  • Business use cases
    • Customer service
    • Online ordering systems
    • Marketing campaigns
    • Information summarization
    • Information mining and inference
    • Language translation
    • Interviews and onboarding
  • Generate code using AI.
    • Approaches
      • Code generation
      • Code completion
      • Code refactoring
      • Code testing
      • Code debugging
      • Code commenting and documentation
      • Assistive AI with code outputs
    • Prompt engineering for code generation
    • Fine-tuning code models
    • Common code generation tools
      • OpenAI Codex
      • GitHub Copilot
      • Amazon CodeWhisperer
      • Duet AI
      • CodeT5
      • CodeGen
    • Business use cases
      • Rapid/agile development
      • Project management
      • DevOps
      • Proof of concept
      • Software prototyping
      • QA
      • Performance optimization
      • Software security
  • Generate images and video using AI.
    • Image approaches
      • Text to image
      • Image to image
      • Image editing and inpainting
      • Image control
      • Image upscaling
      • Assistive AI with image outputs
    • Video approaches
      • Text to video
      • Image to video
      • Text + image to video
      • Video to video
      • Frame interpolation
      • Video customization
      • Assistive AI with video outputs
    • Prompt engineering for image and video generation
    • Fine-tuning image and video models
    • Common image generation tools
      • DALL·E
      • Craiyon
      • Midjourney
      • Stable Diffusion
      • DreamBooth
      • Imagen
    • Common video generation tools
      • Synthesia
      • Rephrase Studio
      • Make-A-Video
      • Runway
    • Business use cases
      • Promotional materials
      • Press releases
      • Training materials
      • Games/virtual worlds
    • Corporate branding
    • Data visualization
    • Product design and prototyping
    • Website and app styling
    • Product listings
    • Medical imaging and diagnostics
  • Generate audio using AI.
    • Approaches
      • Text to audio
      • Audio to audio
      • Audio editing and cleaning
      • Assistive AI with audio outputs
    • Prompt engineering for audio generation
    • Fine-tuning audio models
    • Common audio generation tools
      • Jukebox
      • VALL-E
      • MusicLM
      • ElevenLabs
    • Business use cases
      • Audio assets
        • Promotional materials
        • Press releases
        • Training materials
        • Games/virtual worlds
    • Voiced chatbots/assistants
    • Accessibility
    • Localization
    • Language learning

 

Module 3: Identify Generative AI Challenges [25%]

  • Identify shortcomings of generative AI.
    • Confabulation/hallucination
    • Misinformation and misleading content
    • Cost
      • Monetary cost of implementation
      • Training time cost
      • Output time cost
    • Lack of fine-tuned control
    • Limitations of training data
    • Hardware requirements
    • Reliance on external factors
      • Cloud services
      • Foundational models
    • Industry-specific risks
    • Adversarial vulnerabilities
  • Identify ethical risks of generative AI.
    • Privacy issues
    • Accountability issues
    • Transparency/explainability issues
    • Bias/discrimination issues
    • Safety/security issues
  • Identify business concerns of generative AI.
    • Governance
    • Employee impact
    • Future of work
    • Operational risks
    • Data risks
    • Brand reputation/consumer trust risks
    • Legal issues
      • Intellectual property/copyright
      • AI laws and regulations

 

 

Module 4: Implement Business Strategies for Generative AI [20%]

  • Apply best practices for implementing generative AI in the organization.
    • Project factors
      • Scope
      • Strategy
      • Objectives
      • Goals
      • Requirements
    • Alignment with initiatives
      • Organizational initiatives
      • ESG initiatives
      • Ethics and compliance initiatives
    • Acquisition
      • Resources
      • Job expertise
    • Education
      • End users
      • Employees
    • Selection of generative AI
      • Modalities
      • Tools
    • IT strategy and infrastructure
      • Data and tools used in fine tuning
      • Tech stack for implementing generative AI
      • Cloud vs. on-premises resource allocation
    • Change management
      • Change agents
      • Knowledge translators
      • Humans in the loop
    • Prototyping
  • Evaluate the results of generative AI projects.
    • Business analyses
      • Business impact analysis
      • Comparative analysis
    • User feedback
      • Collection
      • Analysis
    • Usage of generative AI systems
      • Monitoring
      • Analysis
    • KPIs
    • Adverse results from generative AI systems
      • Project limitations
      • Undesirable outcomes
    • Long-term sustainability

Exam Track

At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered Certification Guarantee:

CertNexus GenAIBIZ Exam (GAZ-110)

Upon successful completion of the GAZ-110 assessment, business professionals will demonstrate an understanding of what generative AI is, how it relates to and can benefit business functions, how to identify potential risks, and how to identify the challenges and milestones of implementing generative AI and becoming a generative AI–driven organization.

  • Duration: 20–45 minutes
  • Format: Multiple Choice/Multiple Response
  • Number of questions: 25
  • Passing score: 76% or 19/25 items
  • Domains:
    • Identify AI Fundamentals 20%
    • Solve Business Problems with AI-Generated Content 35%
    • Identify Generative AI Challenges 25%
    • Implement Business Strategies for Generative AI 20%

What's Included

Prerequisites

Before attending this accelerated course, you should have:

  • Fundamental knowledge of business processes and general business concepts, as well as domain knowledge in generative AI. It is recommended that candidates acquire domain knowledge by attending the CertNexus® GenAIBIZ (Exam GAZ-110): Making ChatGPT and Generative AI Work for You course prior to taking the assessment.

Weet je niet zeker of je aan de vereisten voldoet? Maak je geen zorgen. Jouw trainingsadviseur bespreekt jouw achtergrond met je om te begrijpen of deze cursus geschikt is voor je.

Beoordelingen

Wereldwijd heeft Firebrand in haar 10-jarig bestaan al 134561 studenten opgeleid! We hebben ze allemaal gevraagd onze versnelde opleidingen te evalueren. De laatste keer dat we onze resultaten analyseerden, bleek 96.41% ons te beoordelen als 'boven verwachting'


"It''s a third course I have with this instructor. His classes are fast-paced and well structured."
Anonymous. (8/1/2024 (Maandag) t/m 10/1/2024 (Woensdag))

"A super engaging and pleasant lecturer."
Michael White, Lloyds Banking Group. (10/7/2023 (Maandag) t/m 12/7/2023 (Woensdag))

"Facility is excellent. Training delivery and interaction with the trainer also excellent and the material is straightforward to follow with a good mix of theory and practical."
Mark Jeffery, Lloyds Banking Group. (10/7/2023 (Maandag) t/m 12/7/2023 (Woensdag))

"Our trainer kept the course very interesting and now I feel equipped with even more knowledge which I can bring to the working world."
Anoniem (3/7/2023 (Maandag) t/m 5/7/2023 (Woensdag))

"A very useful and informative event that will help my career."
Anoniem (3/7/2023 (Maandag) t/m 5/7/2023 (Woensdag))

Cursusdata

CertNexus - GenAIBIZ

Start datum

Eind datum

Status

Nu boeken

6/6/2024 (Donderdag)

7/6/2024 (Vrijdag)

Open

Nu boeken

9/9/2024 (Maandag)

10/9/2024 (Dinsdag)

Open

Nu boeken

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