Description for Gen AI - Introduction
Generative and discriminative AI models: Understand the distinctions between the two.
Generative AI's Use Cases and Capabilities: Examine the practical applications and capabilities of generative AI in various industries.
Generative AI Models and Tools: Discover the models and instruments that are employed to produce audio, video, text, code, and images.
Use Cases for Code, Image, and Text Generation: Acquire practical knowledge regarding the practical application of generative AI in real-world scenarios for the generation of code, images, and text.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by IBM
Duration: 1�3 hours per week approx 3 weeks
Schedule: Instructor-paced
Pricing for Gen AI - Introduction
Use Cases for Gen AI - Introduction
FAQs for Gen AI - Introduction
Reviews for Gen AI - Introduction
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Gen AI - Introduction
Telemo utilizes proprietary generative AI technology that is supported by Microsoft and Nvidia to enhance the customer experience for businesses.
Examine how to improve learning and preserve integrity by incorporating morally sound and useful AI tools into evaluation procedures.
This program instructs instructors on the ethical and successful integration of AI, while promoting innovation and critical thinking among students.
Study the ethical consequences of AI development and implementation, emphasizing generative AI, AI governance, and pragmatic ethical decision-making in practical contexts.
Improve proficiency in optimizing LLMs by instruction-tuning, RLHF, DPO, and PPO utilizing Hugging Face to enhance model efficacy.
Learn how to develop AI agents using RAG and LangChain, as well as how to integrate sophisticated AI technologies.
This course provides practical competencies in generative artificial intelligence, large language models, and natural language processing data management, all underpinned by a credential esteemed within the industry.
In just two weeks, this course will teach you fundamental generative AI and NLP abilities such as word embeddings, language modeling, and text analysis approaches.
Discover how to use Rust to apply DevOps ideas, automate system chores, and put logging and monitoring in place for effective application deployment and operation.
Learn how to use AI technologies for personal development and active learning, embrace continuous learning, and cultivate a growth mindset.
Featured Tools
This course covers Python programming, TensorFlow for linear regression, and app development for stock market prediction.
Examine how to improve learning and preserve integrity by incorporating morally sound and useful AI tools into evaluation procedures.
Learn the fundamental techniques of supervised and unsupervised learning and apply them to real-world problems to unlock the potential of machine learning.
In order to balance or improve the integration of AI in education, this course examines conversational AI technologies and provides evaluation designs.
Explore the topic of AI-powered personalization by acquiring the skills necessary to utilize LangChain and ChatGPT.