Generative AI for Application Development
Overview
At Canadian College Of Business Health And Arts, we recognize and harness the transformative power of customized guidance and strategic insight to propel both individuals and organizations towards their objectives.
Whether you are a seasoned executive or a budding entrepreneur, our services are meticulously crafted to meet you at your current stage and facilitate your progress toward your aspirations.
Acknowledging the unique landscape of each business, along with its distinct challenges and opportunities, we adopt a tailored approach, collaborating closely with you to devise strategies that directly address your specific requirements and foster substantial advancement.
Our mission is to empower you with the essential tools, knowledge, and confidence necessary to navigate complex business environments and attain sustainable success. Our commitment transcends conventional coaching techniques, integrating an array of proven methods and innovative practices to provide comprehensive support.
From strategic planning and leadership development to enhancing team dynamics and performance, our expertise encompasses diverse facets of business management. We take pride in cultivating a collaborative and supportive atmosphere where you are encouraged to explore new concepts, overcome challenges, and unlock your full potential.
With a history of success and an unwavering dedication to excellence, we stand ready to partner with you on your journey toward growth and achievement, transforming your vision into reality and laying the groundwork for enduring success.
What You’ll Learn
In this course, you’ll gain hands-on experience and deep knowledge in applying generative AI techniques to build cutting-edge applications. Here’s what you can expect to learn:
By the end of this course, you’ll be equipped with the skills to develop innovative generative AI applications that can transform industries, from creative arts to business automation.
Job Opportunities:
- Generative AI Developer.
- AI Solutions Architect.
- AI Researcher (Focusing on generative models).
- Data Scientist specializing in AI and creative applications.
- Content Automation Specialist using generative AI.
Popularity Rationale: Generative AI is revolutionizing industries by enabling machines to create content such as text, images, and even music. With advancements in models like GPT-4 and DALL·E, businesses are leveraging generative AI to streamline operations, enhance creativity, and drive innovation. This course delves into how generative AI can be applied across various fields, empowering learners to harness its potential for problem-solving, content creation, and business growth.
Chapters
Module 1: Introduction to Generative AI (4 hours)
Module 2: Generative Models: GANs and VAEs (6 hours)
Module 3: Text Generation with AI (6 hours)
Module 4: Image Generation with AI (6 hours)
Module 5: Advanced Applications of Generative AI (6 hours)
Module 6: Implementing a Full Generative AI Workflow (5 hours)
Module 7: Mini Project: Building a Generative AI Application (3 hours)
Students are required to complete 39 hours of in-class training.
39 hours
Program Summary
This table will display a summary of total instructional hours, delivery format and percentage weight for every Type of Learning entered in the List of Subjects. The ministry, career college and any subject or education assessors may refer to this section for a general understanding of the components of the program.
| Type of Learning | Total Instruction Hours | Delivery Format | % Weight |
|---|---|---|---|
| Theory | 20.00 | On-Line | 58.67% |
| Practical | 19.00 | On-Line | 41.33% |
| Total Type of Learning | 39.00 | ||
| Total Program Hours | 39.00 | 100.00% |
$CAD
Details
Certification
39 Hours
Updated: 03/01/2025
Prerequisites
If you attended a post-secondary institution after high school, we need both your high school transcript and your post-secondary transcript.
- Entry into many of our programs is competitive and your post-secondary marks can strengthen your application.
- If you did not graduate from high school and have a GED, send us a copy.
- Even if you graduated a while ago, we still need your high school transcript.
- If you cannot obtain it, let us know and we can discuss your options.
- If you studied at college or university, you must submit your post-secondary transcript AND
your high-school transcript. This may strengthen your application.
- Basic understanding of machine learning concepts.
- Familiarity with Python programming and libraries like TensorFlow or PyTorch.
- Understanding of neural networks and deep learning fundamentals.
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