— Learn
GENERATIVE AI FOR DEVELOPERS USING CHATGPT
Welcome to our Generative AI Course for Developers, where you’ll delve deep into the intricacies of artificial intelligence and its generative capabilities, specifically tailored for developers seeking to enhance their skills in this cutting-edge field.
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Take your development skills to the next level with our Gen AI Course designed specifically for Developers!
Anil Bidari
YOUR EXPERIENCED MENTOR
Anil Bidari is a versatile trainer and consultant specializing in GitLab, AWS, Azure, Google, DevOps, Jenkins, Kubernetes, Ansible, Docker, Agile, and Machine Learning. His expertise drives successful technology adoption and implementation, benefiting organizations and individuals alike.
- Instructor: Anil Bidari
- Participants: 1,550 Students
- Study Lecture : 30 Lectures
- Time Duration : 35 Hours - 5 Days
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
COURSE OBJECTIVE
- Gain a comprehensive understanding of generative AI principles.
- Learn to seamlessly integrate ChatGPT into diverse development projects.
- Explore real-world applications spanning content generation, dialogue systems, and creative assistance.
- Understand ethical implications and adopt responsible AI practices in deployment.
- Optimize ChatGPT's performance and scalability for resource-constrained environments.
- Master advanced techniques like self-attention mechanisms and transfer learning.
COURSE DESCRIPTION
Our Generative AI Course for Developers is designed to equip you with the knowledge and skills needed to leverage generative AI techniques effectively in your projects. Through hands-on learning and practical exercises, you’ll gain a comprehensive understanding of generative models, algorithms, and their applications in various domains.
COURSE SUMMARY
Generative AI for Developers using ChatGPT” equips developers with fundamental and advanced skills to integrate ChatGPT effectively into projects. Participants explore ethical considerations, optimize model performance, and engage in project-based learning. Upon completion, developers are proficient in leveraging ChatGPT across diverse real-world applications.
— LEARN CHATGPT
Course Outline
- Deep dive into neural networks and their architectures
- Optimization techniques for training deep models
- Understanding the theory behind GANs
- Implementing GANs for image generation
- In-depth exploration of VAE architecture
- Implementing VAEs for data generation and representation learning
- Text generation using RNNs and LSTM networks
- Music generation with RNN-based models
- Conditional and controllable generation
- Attention mechanisms in generative models
- Strategies for deploying generative models in production environments
- Techniques for optimizing performance and efficiency
- Addressing bias and fairness in generative AI
- Ensuring responsible development and deployment practices