Artificial Intelligence
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New answer posted
a month agoContributor-Level 10
Well, Gen AI courses do not mandate coding knowledge as a requirement for pursuing the course because there are many low-code or no code platforms, prebuilt models, and AI tools that you can use to harness the true potential of AI without needing any coding.
Having said that, coding knowledge is needed and helpful if you want to build your own Gen AI models, upgrade the existing ones to high performance AI systems, and look for advanced career opportunities in the market with hefty paychecks. A basic awareness of coding can help you understand the Gen AI applications better.
New answer posted
a month agoContributor-Level 10
You can find some important differences for Generative AI vs Traditional AI here:
- Generative AI is more for creative fields and content generation while traditional AI is more suited for data analysis, pattern recognition and making predictions.
- Generative AI is like a creative artist that is more adaptable while traditional AI is like a skilled analyst that is limited to its predefined rules and data patterns.
- Generative AI is used for generating content and unique artwork, along with computer codes and product prototypes. Traditional AI, on the other side, deals with fraud detection, medical diagnosis and recommendation systems.
New answer posted
a month agoContributor-Level 10
You can find the list of some important technical and soft skills that you will learn after pursuing Generative AI courses here:
Technical Skills | Non-Technical Skills |
|---|---|
AI Tool & Framework Proficiency | Critical Thinking |
AI Model Deployment | Problem-Solving |
Python Programming | Attention to Detail |
Prompt Engineering | Creativity and Innovation |
LLM Fine-Tuning | Adaptability and Continuous Learning |
API Design | Ethical Awareness |
New answer posted
a month agoContributor-Level 10
In real life, you cannot even imagine the potential of Gen AI. It can truly reshape the way we carry out our daily tasks and complete those in no time. Some top applications of Generative AI are given here:
- Writing engaging articles, ad copies, and social media content based on accurate user prompts.
- Generating new images and video content for media and entertainment purposes.
- Creating visual product designs to accelerate the manufacturing processes.
- Coming up with customized study guides and quizzes for students to make the classroom learning more fun.
- Improving the quality of medical imaging in healthcare to ensure accurate disease detect
New answer posted
a month agoContributor-Level 10
Generative AI is basically a type of AI that is all about creating all sorts of digital content, including text, images, videos, or audio in response to user prompts. Gen AI is more about creation after learning from existing dataset patterns rather than analysis or categorization like the traditional AI. This powerful tool has the capacity to transform the industry landscape by bringing in automation and innovation.
New answer posted
a month agoContributor-Level 10
The University of Newcastle provides an MS in Data Science and Artificial Intelligence that teaches students the foundational courses in Statistics, machine learning, and industry collaboration. The programme is divided into two major streams, namely: Computational Intelligence, which includes data mining and machine learnin, g and Health Data Analysis, which includes Biostatistics and Medical statistics. Graduates from these programs are well prepared for roles such as Data Scientist, AI or Machine Learning Specialists, Health Data Analyst, and Business Analyst. The average salary of these graduates is around AUD 107,500. The pr
New answer posted
a month agoContributor-Level 10
SFSU offers an MS in Data Science and AI program designed to teach students the fundamentals of computer science, statistics, machine learning, and AI theory and its application. Graduates of this course are well prepared for roles like Data Scientists, AI Engineers, or Machine Learning Specialists. Their average starting salary typically ranges from USD 116,000 to USD 160,000. The program generally goes on for 18 months, and the tuition fees are around INR 14 L.
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