CertNexus GenAIBIZ GAIBS: Generative AI Business Solutions

Name: CertNexus GenAIBIZ GAIBS: Generative AI Business Solutions
Brand: CertNexus
Price: 3500 MYR
Availability: InStock

RM 3,900.00

RM 3,500.00

In today's rapidly evolving business landscape, staying ahead of technological advancements is crucial. The Generative AI Business Solutions training course is designed to equip professionals with the skills and knowledge necessary to harness the power of Generative AI for solving complex business problems. This comprehensive 3-day course covers foundational to advanced AI concepts, focusing on how AI-generated content—such as text, code, images, videos, and audio—can be implemented to enhance operational efficiency, drive innovation, and maintain a competitive edge.

Understanding and applying Generative AI is essential for organizations aiming to leverage AI-driven solutions to streamline processes, personalize customer experiences, and optimize decision-making. Participants will learn not only the technical aspects of Generative AI but also how to navigate the ethical and business challenges associated with it, ensuring that AI initiatives are both effective and responsible.

Complexity of AI Integration: Many organizations struggle with integrating AI into existing business processes due to the complexity and technical knowledge required.
- This course simplifies the process by providing practical, step-by-step guidance on how to implement AI-driven solutions, ensuring that participants can effectively integrate AI into their business operations.
Ethical and Technical Challenges: The use of Generative AI brings forth challenges such as ethical concerns, data privacy issues, and the risk of misinformation.
- The course addresses these challenges by teaching best practices for mitigating risks and ensuring that AI projects are ethically sound and aligned with organizational values.
Lack of Expertise: Teams often lack the necessary expertise to fully utilize Generative AI, leading to underutilization of its potential.
- By providing in-depth training on AI tools and methodologies, this course empowers professionals to become proficient in AI technologies, enabling them to maximize the benefits of AI in their respective fields.

Training Duration: 3 Days

Certificate Of Completion Available
Group Private Class
VILT Class Available
HRD Corp SBL-Khas Claimable

Download Course Outline

The CertNexus GenAIBIZ (GAZ-110) 3-Day Course is designed to equip professionals with foundational and advanced knowledge in Artificial Intelligence (AI), particularly focusing on Generative AI.

This course provides a comprehensive understanding of AI concepts, machine learning basics, and deep learning techniques, along with practical applications in business scenarios. Participants will explore AI-generated content in various forms such as text, code, images, videos, and audio, and learn how to implement AI-driven solutions in their organizations. The course also addresses the technical, ethical, and business challenges associated with generative AI, ensuring that participants are well-prepared to navigate the evolving AI landscape.
By the end of the CertNexus GenAIBIZ (GAZ-110) 3-Day Course, participants will be able to:

Understand AI Fundamentals: Gain a thorough understanding of AI, its recent developments, and enabling technologies.

Explore Generative AI Techniques: Learn the key concepts, tools, and methodologies used in generative AI for creating text, code, images, videos, and audio content.

Apply AI in Business Contexts: Identify and implement AI-generated solutions to address real-world business problems, enhancing operational efficiency and innovation.

Address AI Challenges: Recognize the technical and ethical challenges of generative AI, and develop strategies for mitigating risks in AI projects.

Implement AI Strategies: Formulate best practices for integrating generative AI into business operations, aligning projects with organizational goals and ensuring effective change management.

Evaluate AI Projects: Develop skills to assess the impact and sustainability of AI initiatives, using appropriate evaluation methods and KPIs.
Day 1: Introduction and AI Fundamentals

Module 1: Morning Session: Introduction to AI and CertNexus

Welcome and Course Overview

Introduction to CertNexus and its mission.

Overview of the GenAIBIZ (GAZ-110) certification.

Introduction to Artificial Intelligence

Definitions: AI, General vs. Narrow AI.

Recent history and timeline of AI developments.

Enabling technologies in AI.

Module 2: Mid-Morning Session: Machine Learning Basics

Machine Learning Concepts

Difference between algorithms and models.

Datasets and their importance.

Approaches: Supervised vs. Unsupervised Learning.

Deep Learning Overview

Understanding Artificial Neural Networks (ANN).

Network parameters, weights, and hyperparameters.

Applications in Natural Language Processing (NLP) and Computer Vision.

Module 3: Afternoon Session: Generative AI Fundamentals

Generative AI Concepts

Definition and key organizations/resources.

Generative AI modalities: Text, Code, Images, Video, Audio, Multimodal.

Approaches: GAN, VAE, GPT, Diffusion, RLHF.

Prompt Engineering and Fine-Tuning

Basics of prompt engineering.

In-context prompting and fine-tuning models.

API access for generative AI.

Day 2: Solving Business Problems with AI-Generated Content

Module 4: Morning Session: Generating Text and Code with AI

Text Generation

Large Language Models (LLM) and tokens.

Approaches: Text generation, completion, chatbots, speech to text.

Tools: OpenAI GPT, ChatGPT, Bard, Microsoft 365 Copilot, Duet AI, Whisper.

Business use cases: Customer service, marketing, information summarization.

Code Generation

Approaches: Code generation, completion, refactoring, testing, debugging.

Tools: OpenAI Codex, GitHub Copilot, Amazon CodeWhisperer, CodeT5.

Business use cases: Rapid development, project management, QA, software security.

Module 5: Mid-Morning Session: Generating Images and Videos with AI

Image Generation

Approaches: Text to image, image to image, editing, upscaling.

Tools: DALL·E, Craiyon, Midjourney, Stable Diffusion.

Business use cases: Promotional materials, product design, medical imaging.

Video Generation

Approaches: Text to video, image to video, customization.

Tools: Synthesia, Rephrase Studio, Make-A-Video, Runway.

Business use cases: Corporate branding, training materials, games/virtual worlds.

Module 6: Afternoon Session: Generating Audio with AI

Audio Generation

Approaches: Text to audio, audio editing, assistive AI.

Tools: Jukebox, VALL-E, MusicLM, ElevenLabs.

Business use cases: Promotional materials, voiced chatbots, language learning.

Prompt Engineering for Media

Techniques for effective prompt engineering.

Fine-tuning models for specific use cases.

Day 3: Generative AI Challenges and Business Strategies

Module 7: Morning Session: Identifying Generative AI Challenges

Technical and Ethical Challenges

Issues: Confabulation, misinformation, costs, lack of control, data limitations.

Ethical risks: Privacy, accountability, transparency, bias, security.

Business Concerns

Governance, employee impact, future of work.

Operational and data risks, brand reputation, legal issues.

Module 8: Mid-Morning Session: Implementing Business Strategies

Best Practices for Generative AI Implementation

Project factors: Scope, strategy, objectives, requirements.

Alignment with organizational, ESG, and ethical initiatives.

Selection and Acquisition

Selecting the right modalities and tools.

Acquiring resources and job expertise.

Education and Change Management

Educating end users and employees.

Change management strategies: Change agents, knowledge translators.

Module 9: Afternoon Session: Evaluating Generative AI Projects

Evaluation Methods

Business impact analysis, comparative analysis.

Collecting and analyzing user feedback.

Monitoring and KPIs

Usage monitoring, adverse results analysis, long-term sustainability.

Final Review and Q&A

Recap of the course content.

Open Q&A session to address any remaining questions.
Passing Score: 80% or 20/25 items

Duration: Estimated 20–45 minutes; candidates may retake as many times as desired.

Exam Delivery: Online through the CHOICE platform.

Item Formats: Multiple Choice/Multiple Response

Upon successful completion, candidates will earn the CertNexus GenAIBIZ credential.

Frequently Asked Questions

What is the Professional Certificate in Data Analytics with Microsoft Power BI?

It is a 5-day instructor-led training program that develops practical skills in data preparation, DAX calculations, data modeling, Power BI reporting, dashboard design, and data storytelling. Participants complete assessments and may receive the Professional Certificate upon successful completion.

Is this Power BI course suitable for beginners?

The fundamentals module is designed for beginners and participants with limited programming or data warehousing knowledge. Familiarity with Microsoft Excel and awareness of business concepts such as revenue and profitability are recommended.

However, the DAX, data modeling, and dashboard modules have their own prerequisites. Participants should ideally have basic Power BI or Power Pivot knowledge before attending the more advanced modules.

What will I learn during the 5-day Power BI training?

You will learn how to:

Connect and transform data using Power Query.
Create reports and dashboards.
Write DAX formulas and measures.
Apply evaluation contexts and CALCULATE.
Build data models using star schemas.
Manage relationships, granularity and date dimensions.
Design dashboards using data storytelling principles.

What is DAX and why is it important in Power BI?

DAX, or Data Analysis Expressions, is the expression language used for calculations in Power BI. It enables users to create calculated columns, measures and analytical calculations involving filters, relationships, time intelligence and evaluation contexts.

Do I need Excel knowledge before learning Microsoft Power BI?

Basic technical familiarity with Microsoft Excel is recommended for the fundamentals module. The course also introduces Excel as a data source, making Excel knowledge useful when learning how to connect and prepare data in Power BI.

Will I learn how to design professional Power BI dashboards?

Yes. The final module covers dashboard strategy, visualization, and data storytelling, including the 7 Golden Rules of Dashboard Design. Participants also complete dashboard projects and an oral presentation to explain their design decisions and insights.

Is this Professional Certificate in Data Analytics with Microsoft Power BI HRDC Claimable?

Yes. This Professional Certificate in Data Analytics with Microsoft Power BI course is HRDC Claimable, subject to the applicable HRD Corp requirements and employer eligibility.

What certificates will I receive upon completing the course?

Upon successful completion of the program, participants will receive the following credentials and certification opportunities:

Certificate awarded by the Graduate School of Business, Universiti Sains Malaysia (USM)
Participants will receive a certificate awarded by the Graduate School of Business, Universiti Sains Malaysia, recognizing their completion of the professional data analytics program.
Certificate of Completion by GemRain Consulting
GemRain Consulting will issue a Certificate of Completion to participants who successfully complete the training program.
Microsoft Power BI Data Analyst Associate Certification
Participants will have the opportunity to pursue the official Microsoft Certified: Power BI Data Analyst Associate certification by sitting for the relevant Microsoft certification examination.
Microsoft awards the certification upon successful completion of the required examination. Passing the training program alone does not automatically grant the Microsoft certification.

CertNexus GenAIBIZ GAIBS: Generative AI Business Solutions

OVERVIEW

OBJECTIVES

COURSE MODULE

EXAM SPECIFICATIONS

Frequently Asked Questions

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