Generative AI Certification 2024
Learn everything about Generative AI in this comprehensive training program
Updated on Jun, 2024
Language - English [Subtitles Added]
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0 mins
7 Video Courses
1 eBook
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Certificate
Assessment
Curriculum
Explore the extensive curriculum of carefully crafted video courses.
Introduction to Artificial Intelligence
4 Lectures | 1 hr 21 min | 1 Preview Lectures
Learning Python 3 Programming for the Absolute Beginner
107 Lectures | 11 hr 25 min | 12 Preview Lectures
Advance Python
29 Lectures | 12 hr 41 min | 5 Preview Lectures
NLP-Natural Language Processing in Python
234 Lectures | 23 hr 37 min | 11 Preview Lectures
Keras Deep Learning & Generative Adversarial Networks (GAN)
134 Lectures | 17 hr 1 min | 5 Preview Lectures
Mastering Recurrent Neural Networks, Theory and Practice in Python
96 Lectures | 13 hr 31 min | 3 Preview Lectures
Master LangChain -Build AI Apps-OpenAI, LLAMA2 & HuggingFace
111 Lectures | 9 hr 33 min | 3 Preview Lectures
Artificial Intelligence Tutorial
62 Pages | Author: Tutorialspoint
- Artificial Intelligence Tutorial Preview
Learning
Outcomes
Make the most of this Certification to learn everything you need in one place.
Get StartedOverview
Generative AI Certification by Tutorials Point is designed to bridge the demand-talent gap as the demand for individuals with AI skills is steadily increasing. The certification program will help you stay relevant to the AI industry and help you build practical skills with comprehensive training. The curriculum comprises selective courses that cater to beginners and seasoned professionals who are seeking to master AI applications.
About this Generative AI Certification
The certification program gets you started with the basics of Artificial Intelligence and takes you through its advanced applications. The curriculum will help you learn Generative AI online by mastering the fundamentals of AI/ML, Neural Networks, Fuzzy Logic, Genetic Algorithms, etc.
The program then dives deep into Python and Python 3 for data science and machine learning applications. Along with basic foundation concepts, the curriculum will help you master the core tenets of object-oriented programming, advanced Python concepts, and a detailed focus on data analysis and visualization.
Taking you through more advanced AI applications, the curriculum focuses on Natural Language Processing (NLP), Keras Deep Learning, Generative Adversarial Networks (GAN), Recurrent Neural Networks (RNN), etc. The next-gen AI projects in the program include Langchain, Pinecone - OpenAI, HuggingFace, and LLAMA 2 models.
The certification program brings prominent Generative AI courses taught by industry experts to learners supported by real-world examples and projects. The program is curated thoroughly such that you will be trained well enough to become an expert in Generative AI and Generative AI tools, and applications.
Scope of Generative AI in the upcoming years
- According to McKinsey's study, Generative AI is expected to perform at a median level of human performance by the end of this decade. And, it is slated to compete with the top 25 percent of people in all tasks before 2040.
- Businesses prefer to use generative AI in their customer services to enhance customer experience journeys.
- Businesses are increasingly using Natural language Processing (NLP), audio, and image-analyzing capabilities of AI to enhance their operations.
Benefits of this Generative AI certification
- Learn the history of AI, types of AI systems, and characteristics of AI.
- Master Python 3 programming and its applications.
- Learn to use Python for data science.
- Complete understanding of Natural Language Processing (NLP) in Python.
- Understand Keras Deep Learning and Generative Adversarial Networks (GAN).
- Mastering Recurrent Neural Networks (RNN).
- Hands-on next-gen AI projects.
Job Opportunities after this GenAI Certification
The following are some of the prominent roles that you can apply for after this Generative AI Certification.
- Prompt Engineer
- GenAI Developer
- AI Research Scientist
- Machine Learning Engineer
- Data Scientist
- Computer Vision Engineer
- Natural Language Processing (NLP) Engineer
- Game Developer
- Creative AI Artist
- Autonomous Systems Engineer
- AI Product Manager
- AI Ethicist
Explore these and other prominent roles at Tutorials Point Jobs.
Who should take this certification?
- Researchers
- Business leaders
- Freshers
- Graduates
- Programmers
- Students
Prerequisites
- Basic Math Knowledge
- Being Familiar with Computer Science
- Basic programming skills
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