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This Prompt Engineering Course offers a comprehensive journey through Generative AI, covering fundamental concepts, Deep Learning in NLP, and advanced Generative Models like GANs and Transformers. You'll explore the crucial art of Prompt Engineering and dive into Large Language Models (LLMs) for various applications. Additionally, you'll gain practical skills with LangChain and RAG for effective data interaction and understand how to evaluate model performance. The Prompt Engineer course concludes with insights into essential Generative AI tools such as Hugging Face Transformers and the OpenAI GPT3 API for practical application and deployment. At the end of the course, you will be completing a capstone project to endorse your learning.
The learning outcomes of this Prompt Engineering Course online are as follows:
Enrolling in the Online Prompt Engineering Course Online offers a structured and effective way to gain the skills and knowledge needed to master AI model customization. This will enable you to leverage AI technology to its fullest potential for your specific applications and needs.
The Prompt Engineering Course is suitable for a wide range of individuals, including:
There are no prerequisites required for this Prompt Engineering course. However, it is beneficial to have:
The cost of the Prompt Engineering Course is INR18,999, but you can avail yourself of a 10% discount, and the discounted price is INR 17,099. The EMI starts at 5,700 / month with No Cost EMI.
The system requirements for a Prompt Engineering course Online include:
Practicals for this Prompt engineering course will be implemented using Python, VS Code and Jupyter Notebook. Detailed step-by-step installation guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.
The Prompt engineering course duration is 30 hrs. The batches are scheduled on the weekend. You can choose your flexible schedule and time while enrolling in the Prompt Engineering Certification course.
To enhance your knowledge in the area of Prompt Engineering or related fields such as natural language processing (NLP), artificial intelligence (AI), and machine learning (ML), consider studying the following topics:
To learn Python for prompt engineering, follow these steps :
Learn syntax.
Explore libraries like NumPy, Pandas, Matplotlib, and Scikit-learn.
Get hands-on natural language libraries such as NLTK, spaCy, TextBlob, and others.
Exercise data analysis.
Understand about machine learning models.
Practice Python coding.
A Prompt Engineer, particularly in the context of working with generative AI models, should possess the following basic skills:
Understanding of AI Fundamentals
Programming Proficiency
Data Handling
NLP Expertise
Model Customization
Problem-Solving
Domain Knowledge
Ethical Considerations
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