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GenAIBIZ

GenAIBIZ offers business professionals with the ability to describe the fundamentals of AI and generative AI; generate text, code, images, video, and audio using generative AI; identify the challenges of generative AI; and implement organizational strategies for generative AI.



GenAIBIZ

GenAIBIZ offers business professionals with the ability to describe the fundamentals of AI and generative AI; generate text, code, images, video, and audio using generative AI; identify the challenges of generative AI; and implement organizational strategies for generative AI.

GenAIBIZ Jobs


GenAIBIZ is intended 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.






GenAIBIZ Exam Details

This exam will certify that the candidate has 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.



TARGET CANDIDATE

The GenAIBIZ assessment is primarily designed 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.

EXAM CODES

GAZ-110


LAUNCH DATE

August 2023


SUNSET DATE

TBD


EXAM DURATION

20-45 minutes (on average)

PASSING SCORE

19 out of 25 (76%)


NUMBER OF ITEMS

25


ITEM FORMATS

Multiple Choice/Multiple Response/True-False


EXAM OPTIONS

Online via the CHOICE LMS







GenAIBIZ demystify generative AI for business professionals

WORK WITH AI

A major milestone in business automation has been reached—generative AI. Despite its recency, it has already started having a significant impact on our lives. Learn how to use it effectively to improve business results

IT’S LEARNING

Verify that you have the knowledge to know when to use generative AI and how it can impact your company.






Generative Artificial Intelligence for Business Professionals Training


To be an effective AI team member, you require knowledge and skills to drive results. CertNexus GenAIBIZ training provides you with the foundational terminology, essential prompting practices, and the steps to participate in or lead your next AI project.







Course Details

1. Identify AI Fundamentals

  • 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
  • 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

  • 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 Code Whisperer
      • Duet AI
      • CodeT5
      • Code Gen
    • 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
      • Dream Booth
      • 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

  • 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

  • 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


Fees Structure : 22500 INR / 270 USD
Total No of Class : 82 Video Class
Class Duration : 74 Working Hours
Download Feature : Download Avalable
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

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Fees Structure : 30500 INR / 365 USD
Class Duration : 60 Days
Class Recording : Live Class Recording available
Class Time : Monday to Firday 1.5 hours per day / Weekend 3 Hours per day
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

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