In this course, you will identify ways generative AI can bring significant value to the organization. You will:
- Describe the fundamentals of AI and generative
- Generate text using
- Generate code using
- Generate images and video using
- Generate audio using
- Identify the challenges of generative
- Implement organizational strategies for generative AI
Lesson 1: AI Fundamentals
- Topic A: AI Concepts
- Topic B: Generative AI Concepts
Lesson 2: Generating Text Using AI
- Topic A: Identify Text Generation Concepts
- Topic B: Solve Business Problems Using Text Generation
Lesson 3: Generating Code Using AI
- Topic A: Identify Code Generation Concepts
- Topic B: Solve Business Problems Using Code Generation
Lesson 4: Generating Images and Video Using AI
- Topic A: Identify Image and Video Generation Concepts
- Topic B: Solve Business Problems Using Image and Video Generation
Lesson 5: Generating Audio Using AI
- Topic A: Identify Audio Generation Concepts
- Topic B: Solve Business Problems Using Audio Generation
Lesson 6: Identifying Challenges of Generative AI:
- Topic A: Identify Shortcomings of Generative AI
- Topic B: Identify Ethical Risks of Generative AI
- Topic C: Identify Business Concerns of Generative AI
Lesson 7: Implementing Business Strategies for Generative AI
- Topic A: Apply Best Practices for Generative AI in the Organization
- Topic B: Evaluate the Results of Generative AI Projects
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
- how to identify the challenges and milestones of implementing
generative AI and becoming a generative AI–driven organization.
This course is primarily designed for:
- business leaders, consultants, product and project managers.
- decision-makers interested in unlocking new business opportunities and augmenting existing business processes using generative AI.
- It's also a great starting point for business professionals who want to investigate generative AI solutions for their tasks and
To ensure your success in this course, you should have a foundational knowledge of business processes and general business concepts.
It would be best to understand information technology resources and systems, including networks, computers, and other electronic devices used in the enterprise.
Our Artificial Intelligence and Machine Learning course provides comprehensive training for individuals aiming to become AI engineers. Led by expert trainers, it covers all facets of AI, empowering professionals to excel in technology-driven careers. With modules on data analytics, automation, and workflow optimization, participants gain industry-ready skills for high-paying job roles. This certification is a combination of basic concepts and advanced applications ensuring relevance in a rapidly growing global market, equipping learners with expertise in emerging technologies
Some of the notable job opportunities are as follows:
- Software Architect
- AI Engineers
- Data Scientist
- AI Data Analyst
- Big Data Engineer
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.
- EXAM CODES: GAZ-110
- PASSING SCORE: 19 out of 25 (76%)
- NUMBER OF ITEMS: 25
- EXAM DURATION: 20-45 minutes (on average)
- EXAM OPTIONS: Online via the CHOICE LMS
- ITEM FORMATS: Multiple Choice/Multiple Response/True-False
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