Trainomart
Generative AI with Google Gemini
Generative AI with Google Gemini
📑 Lessons : 6 Lesson
🕒 Duration : 2 days
🎚️ Skill level : Intermediate
📑 Language : English
Couldn't load pickup availability
Unlock the full potential of Google Gemini with this generative AI certification program. With hands-on practice, participants will gain the skills to build and deploy AI-generated models for text, images, and other creative outputs. Learn to leverage generative AI training courses to create real-world applications that drive innovation and efficiency.
Share
What you'll learn
✔️ In-depth understanding of Google Gemini's generative AI capabilities.
✔️ Building AI models for tasks like text generation, image synthesis, and creative automation.
✔️ Fine-tuning pre-trained models on custom datasets for tailored applications.
✔️ Practical applications of generative AI in industries such as media, design, and automation.
✔️ Exploring ethical considerations and the future of generative AI technologies.
Prerequisites
✔️ Foundational knowledge of machine learning principles.
✔️ Proficiency in Python and familiarity with libraries like TensorFlow or PyTorch.
Course Content
Module 1: Introduction to Google Gemini and Generative AI
✔️ Overview of generative AI
✔️ Key features of the Google Gemini platform
✔️ Hands-on: Setting up the environment and exploring Gemini tools
Module 2: Text Generation with Google Gemini (Duration: 3 hours)
✔️ Language models and their applications
✔️ Fine-tuning text generation models
✔️ Hands-on: Creating a text-generating AI using Gemini
Module 3: Image Generation and Fine-Tuning (Duration: 3 hours)
✔️ Image generation models and use cases
✔️ Adjusting model parameters for desired outputs
✔️ Hands-on: Building an image generation model with Gemini
Module 4: Advanced Techniques in Generative AI (Duration: 3 hours)
✔️ Combining text and image generation
✔️ Enhancing creativity with multi-modal models
✔️ Hands-on: Implementing a multi-modal generative AI solution
Module 5: Ethical Considerations and Future of Generative AI (Duration: 2 hours)
✔️ Ethical implications of generative AI
✔️ Responsible AI usage and guidelines
✔️ Discussion: Future trends and developments
Module 6: Capstone Project: Creating a Generative AI Application (Duration: 3 hours)
✔️ Identifying a problem or use case
✔️ Designing and implementing a generative AI solution
✔️ Hands-on: Presenting the final project
Frequently Asked Questions
📍 Question1: What is Google Gemini?
Answer: Google Gemini is a state-of-the-art platform for building and deploying generative AI models. It excels in tasks such as AI-generated text, images, and creative content.
📍 Question2: What industries benefit from this course?
Answer: This course is ideal for professionals in creative industries, automation, design, and anyone interested in AI-generated online courses and solutions.
📍 Question3: Who should enroll in this course?
Answer: This program is designed for learners with intermediate skills in machine learning and a desire to specialize in generative AI training courses.
📍 Question4: What tools and frameworks will be used?
Answer: The course focuses on using Google Gemini along with TensorFlow and PyTorch for building and deploying generative models.
📍 Question5: What is the course duration?
Answer: The course runs for 2 days with live virtual sessions from 9 AM–5 PM EST.
📍 Question6: What will I build during the course?
Answer: Participants will create a fully functional generative AI application, gaining hands-on experience in text and image generation.
📍 Question7: What is the cost of this course?
Answer: The course is available at a discounted rate of $499, reduced from its original price of $2000.
📍 Question8: Is this course certified?
Answer: Yes, participants will receive a Google Generative AI certification, validating their expertise in generative AI technologies.
📍 Question9: Can I apply this knowledge to real-world projects?
Answer: Absolutely! This course emphasizes practical applications of generative AI in areas such as media, design, and automation.
📍 Question10: Are there post-course resources?
Answer: Yes, participants will gain access to supplementary resources and materials to continue their learning journey.