AI for Beginners

AGI : An Introductory course

(0 reviews)
Share icon
Udemy

This course provides learners with a comprehensive understanding of AI and AGI, enabling them to participate in and influence the developments that are influencing the future.

Key AI Functions:artificial intelligence, data science, development, agi, artificial general intelligence, ai for beginners

Description for AGI : An Introductory course

  • AI Foundations: Acquire a comprehensive understanding of AI, including its history, operation, and diverse forms.

  • Introduction to AGI: Acquire an understanding of the fundamental principles of AGI, including its distinctions from conventional AI.

  • Trends and Roadmap: Stay informed about the most recent advancements and future roadmap of AGI to anticipate industry advancements.

  • AGI Impact: Investigate the transformative potential of AGI in various industries, as well as its associated risks and challenges.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Udemy provided by Prince Patni

Duration: 45m

Schedule: Full Lifetime Access

Reviews for AGI : An Introductory course

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Alternative Tools for AGI : An Introductory course

This course covers Python programming, TensorFlow for linear regression, and app development for stock market prediction.

#artificial intelligence #programming languages
Visit icon

In order to balance or improve the integration of AI in education, this course examines conversational AI technologies and provides evaluation designs.

#artificial intelligence #data science
Visit icon

In this course, students gain the skills necessary to use Python for data science, machine learning, and foundational applications of artificial intelligence.

#scientific methods #data science
Visit icon

Discover AI terminology, ethical norms, and protocols for responsibly utilizing and citing Generative AI.

#artificial intelligence #ethics
Visit icon

Learn proficiency in GitHub Copilot and GitHub Codespaces to optimize development workflows, facilitate customized code generation, and enhance project management efficiency.

#codespaces #github
Visit icon

Acquire hands-on experience protecting huge language models by fixing vulnerabilities, reducing risks, and making sure generative AI applications are deployed safely.

#llm model #llm security
Visit icon

Study the ethical consequences of AI development and implementation, emphasizing generative AI, AI governance, and pragmatic ethical decision-making in practical contexts.

#artificial intelligence #machine learning
Visit icon

The training program incorporates fundamental techniques, tools, and methodologies for formulating effective prompts aimed at enhancing the performance of large language models.

#prompt engineering #artificial integillence
Visit icon

The material equips data engineers to incorporate machine learning models into pipelines while adhering to best practices in collaboration, version control, and artifact management.

#machine learning #data engineering
Visit icon

This program instructs instructors on the ethical and successful integration of AI, while promoting innovation and critical thinking among students.

#artificial intelligence #educational technologies
Visit icon