Intro to Gen AI Learning Path
This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.
Description for Intro to Gen AI Learning Path
- Provides a thorough overview of generative AI.
- Covers ethical considerations for responsible AI development and deployment.
- Explores foundations and diverse applications of large language models (LLMs).
- Includes interactive assessments throughout the modules.
- Assessments evaluate understanding of critical concepts and terminology.
- Immediate feedback is provided to reinforce learning and highlight areas for further investigation.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 11
Offered by: On Coursera offered by Google Cloud
Duration: 1 month at 10 hours a week
Schedule: Flexible
Pricing for Intro to Gen AI Learning Path
Use Cases for Intro to Gen AI Learning Path
FAQs for Intro to Gen AI Learning Path
Reviews for Intro to Gen AI Learning Path
4.2 / 5
from 5 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Rian Soto
Has definitely boosted my creative and operational efficiency.
Mara Quinn
I enjoy how it supports my productivity without trying to do too much.
Bella Morris
Smart enough to catch the nuances I usually miss.
Cora Field
Has improved my workflow both at work and for personal projects.
Luca Rhodes
Smart enough to understand subtleties and produce accurate outcomes.
Alternative Tools for Intro to Gen AI Learning Path
Gain experience creating safe, compliant GCP systems, configuring resources, streamlining procedures, and studying for the Professional Cloud Architect test.
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.
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.
Learn how to develop AI agents using RAG and LangChain, as well as how to integrate sophisticated AI technologies.
Improve proficiency in optimizing LLMs by instruction-tuning, RLHF, DPO, and PPO utilizing Hugging Face to enhance model efficacy.
Gain experience in transformer-based models and essential natural language processing techniques, including attention mechanisms, GPT, and BERT, utilizing PyTorch for a diverse array of text classification and language-related tasks.
This specific course emphasizes the integration of machine learning and AI with big data administration, utilizing Google Cloud services.
This course highlights the ethical implications, the integration of ChatGPT into education, and the enhancement of instruction through the utilization of AI tools.
Develop advanced AI techniques, including prompt engineering and chatbot development, as well as master large language models and their implementation on Google Cloud.
The primary objective of the course is to emphasize responsible AI and best practices in the development of machine learning models using Vertex AI.
Featured Tools
Explore the world of AI-powered language processing by acquiring the skills necessary to construct chatbots, analyze sentiment, and incorporate AI insights into practical applications.
Preparing students for a future in artificial intelligence security, this course offers AI hacking, vulnerability discovery, and attack mitigating techniques.
This course covers Python programming, TensorFlow for linear regression, and app development for stock market prediction.
This program instructs instructors on the ethical and successful integration of AI, while promoting innovation and critical thinking among students.
Develop your skills in image processing, augmented reality, and object recognition to prepare yourself to create cutting-edge AI-powered visual apps.