Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Digital Transformation with Generative AI (GenAI)

Course Code: M1429

What's This Course About

In the rapidly evolving landscape of digital technology, the Digital Transformation with Generative AI (GenAI) course offers a comprehensive exploration into how AI can redefine business operations, enhance customer experiences, and create new value propositions. This course is designed for professionals seeking to leverage AI technologies to drive digital transformation initiatives within their organizations. Through a blend of theoretical concepts and practical applications, participants will gain insights into the potential of GenAI to innovate and streamline processes, foster a culture of continuous improvement, and maintain competitive advantage in the digital age. Emphasizing real-world scenarios and cutting-edge practices, the course equips learners with the tools and strategies needed to effectively implement digital transformation projects powered by Generative AI, preparing them for leadership roles in the era of technological disruption.

Our course on Generative AI not only emphasizes theoretical knowledge but also facilitates practical understanding through real-time case studies and projects. You will have the opportunity to learn from industry experts, acquiring hands-on skills to implement GAI tools in various business contexts, fostering innovation and driving successful digital transformations. Whether you're a beginner looking to build a foundation or a professional seeking to upscale your skills, this course serves as a gateway to excel in the AI-driven industry, making you a sought-after expert in the field. Enrol today to embark on a journey towards a promising and futuristic career.

Course Fee

₦170,000.00

Course Date

Course Time

* Required Fields

Additional Note

Students need to bring their own laptop

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to info@tertiarycourses.com.ng and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.

Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Introduction to Business Innovation and Generative AI

  • Overview of current predictive AI technology used in the industry
  • Overview of emerging generative AI technology for business innovation
  • Overview of generative AI tools: Text, Image, Video, Speech, Song, Music, Digital Human, Office Productivity, Data Analysis, IP
  • Investigating and evaluating business opportunities with generative AI tools
  • Case studies and real-world examples

Topic 2: Designing Digital Architectures and Processes for Business Innovation

  • Business planning methodologies for innovation
  • Designing digital architectures using generative AI tools
  • Integrating generative AI tools into the business environment
  • Developing an action plan for implementing business innovation
  • Hands-on with generative AI tools

Topic 3: Implementing and Managing Business Innovation with Generative AI Tools

  • Implementing best practices for business innovation using generative AI tools
  • Legal, ethical and security considerations
  • Managing and reviewing the success of business innovation using generative AI tools
  • Facilitating communication and idea sharing among stakeholders

Course Info

NA

Job Roles

Job Roles

  • Digital Transformation Manager
  • AI Strategy Consultant
  • Chief Technology Officer (CTO)
  • Innovation Director
  • Data Scientist
  • Machine Learning Engineer
  • Business Process Engineer
  • AI Project Manager
  • Digital Innovation Officer
  • Technology Research Analyst
  • User Experience (UX) Designer
  • Systems Analyst
  • IT Solutions Architect
  • Digital Marketing Strategist
  • Customer Experience Manager
  • Product Development Manager
  • Enterprise Architect
  • Business Intelligence Analyst
  • Cloud Solutions Architect
  • Cybersecurity Specialist

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