Mastering Generative AI: Techniques and Applications Training Course
Gain the skills you need to advance your career. This course offers hands-on learning, expert guidance, and real-world applications designed to help you grow.
Course Overview
| Course Title | Mastering Generative AI: Techniques and Applications Training Course |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 1,100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | TBA |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
Course Overview
This comprehensive course, offered by T4D, is designed to equip participants with a comprehensive understanding of generative artificial intelligence. This course explores the cutting-edge techniques and applications of generative models, such as GANs, VAEs, and autoregressive models. Participants will learn how to implement and leverage these models in various domains, including image generation, text synthesis, and more. Through hands-on projects and expert guidance, attendees will gain practical experience and insights into the transformative potential of generative AI.
Duration
5 Days
Target Audience
- Machine learning engineers
- Data scientists
- Software developers
- Researchers interested in generative AI
Personal Impact
- Gain a deep understanding of generative AI and its potential applications.
- Enhance your technical skills in AI and machine learning.
- Develop the ability to create and implement cutting-edge AI solutions.
- Boost your career prospects with advanced knowledge in a rapidly growing field.
- Gain hands-on experience with industry-standard AI tools and frameworks.
Organizational Impact
- Equip your organization with the skills to leverage generative AI for innovation.
- Improve productivity and efficiency through AI-driven solutions.
- Enhance decision-making with advanced AI capabilities.
- Stay ahead of the competition by adopting the latest AI technologies.
- Foster a culture of continuous learning and technological advancement.
Course Objectives
- Understand the fundamental concepts and theories behind generative AI models.
- Explore different types of generative models, including GANs, VAEs, and autoregressive models.
- Gain proficiency in implementing generative models using popular frameworks like TensorFlow and PyTorch.
- Learn to apply generative AI techniques in various domains such as image generation, text synthesis, and data augmentation.
- Develop the skills to evaluate and fine-tune generative models for optimal performance.
- Understand ethical considerations and best practices in the use of generative AI.
Course Modules
Course Outline
Module 1: Introduction to Generative AI
- Overview of AI and machine learning
- History and evolution of generative AI
- Key concepts and terminologies
- Real-world applications of generative AI
- Case Study: Analysis of a successful generative AI application in marketing campaigns.
Module 2: Generative Adversarial Networks (GANs)
- Understanding GANs and their architecture
- Training GANs and common challenges
- Applications of GANs in image and video generation
- Hands-on project: Building and training a GAN
- Case Study: A project that showcases the use of GANs in creating realistic artwork.
Module 3: Variational Autoencoders (VAEs)
- Introduction to autoencoders and VAEs
- Mathematical foundations of VAEs
- Implementing VAEs for data generation
- Hands-on project: Developing a VAE for image synthesis
- Case Study: Implementation of VAEs in facial recognition technology.
Module 4: Transformer Models and Natural Language Processing
- Understanding transformer architecture
- Applications of transformers in NLP
- Fine-tuning transformer models for text generation
- Hands-on project: Creating a text generation model
- Case Study: The impact of transformer models on automated customer support systems.
Module 5: Advanced Topics and Future Trends in Generative AI
- Exploring advanced generative AI techniques
- Ethical considerations and challenges in generative AI
- Future trends and emerging technologies in AI
- Case studies and industry insights
- Case Study: Examination of ethical dilemmas faced by a leading AI company in deploying generative AI.
Course Administration
Methodology
This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.
Accreditation
Participants will receive a Tech For Development Certificate of Course Completion.
Training Venue
Held at the Tech For Development Training Centre.
Accommodation & Airport Transfer
Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179
Tailor-Made
Customised training available.
Payment
Send proof of payment to letstalk@techfordevelopment.com.
