Online Course – Certified Professional Internship in Edureka LLMs

Embark on a transformative journey with our Generative Artificial Intelligence to NLP expertise, designed to deepen your understanding of AI-powered language models, from basic understandings to advanced applications. Upgrade your skills in Python programming, machine learning, NLP, and generative intelligence techniques, while exploring the architecture and applications of large language models.

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Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Digital advertising and marketing
  • Understanding user data
  • Basic graphic design
  • Marketing writing
  • Using social networks
  • Selling products online
  • Campaign results analysis
  • Building unique content
  • Using SEO tools
  • Target audience management

What you will learn in the course

Courses for which the course is suitable

  • Artificial Intelligence Developer
  • Data Analyst
  • Machine Learning Engineer
  • Natural Language Processing (NLP) Specialist
  • Artificial Intelligence Application Developer
  • Software developer with specialization in artificial intelligence
  • Creative Intelligence Expert
  • Large Language Modelers (LLMs)
  • Data visualization expert
  • Fraud Detection Solutions Developer
  • Application developer with ChatGPT
  • Application developer with MidJourney
  • Application developer with OpenCV
  • Artificial Intelligence Developer Conversation with RASA

Internship – 4-part course series

Description of the internship

The specialization “Learning Next-Generation Artificial Intelligence with Big Language Models” offers an in-depth look at the advanced world of artificial intelligence, with a special focus on natural language processing and creative intelligence models. The program is carefully structured to develop Python programming skills, essential for any AI career, and to create a deep understanding of machine learning and deep learning principles.

Main topics

  • Complexities of NLP techniques
  • Text mining
  • Preprocessing and classification
  • Fundamental principles of creative intelligence

Large Language Models (LLMs)

The specialization deals with the structure, applications, and ethical considerations of large language models (LLMs), and provides learners with the knowledge to evaluate their performance and apply them innovatively in various fields.

Courses

  • Machine Learning and NLP Fundamentals
  • The Foundations of Creative Intelligence
  • Creative Intelligence Architecture and Application Development
  • Creative intelligence applications and popular tools like ChatGPT, MidJourney, and GitHub Copilot

Hands-on Learning Project

This specialization course offers a broad approach to applying creative AI skills in practical scenarios. Learners will learn how to use creative intelligence for data visualization and EDA to uncover insights from complex data.

Practical projects
  • Using ChatGPT to generate a code
  • Detecting email fraud using GAN models
  • Exploring MidJourney functions for creative ventures
  • Image processing with OpenCV
  • Building Artificial Intelligence Conversation with RASA

These projects are designed to prepare learners to apply the knowledge they have gained as practical tools. Through this hands-on approach, participants deepen their technical expertise and prepare themselves to navigate and contribute to the evolving field of artificial intelligence with confidence and creativity.

Details of the courses that make up the specialization

Machine Learning and Natural Language Processing Basics

  • Course 1
    • Duration: 19 hours
    • Rating: 3.7 (12 ratings)
    • Course details:
      • What you will learn: You will specialize in machine learning and deep learning, and apply natural language processing for advanced text analysis and classification.
      • Skills you will gain:
        • Category: TensorFlow
        • Category: Machine Learning
        • Category: RNN
        • Category: CNN
        • Category: Artificial Intelligence

Generative AI

  • Course 2
    • Duration: 8 hours
    • Course details:
      • What you will learn: You will specialize in generative AI concepts, apply them in code generation, and acquire knowledge of advanced models such as Autoencoders and GANs.
  • Course 3
    • Duration: 12 hours
    • Course details:
      • What you will learn: Specialize in generative AI architecture and applications, and learn to use LangChain and RAG for innovative AI solutions.
      • Skills you will gain:
        • Category: Python (programming language)
        • Category: LangChain

Popular Generative AI Apps and Tools

  • Course 4
    • Duration: 11 hours
    • Course details:
      • What you will learn: You will specialize in creating chatbots with RASA, explore GPT-3, OpenCV, and learn about leading tools in generative AI like MidJourney and DALL·E 2 for creating diverse content.
      • Skills you will gain:
        • Category: RASA
        • Category: GitHub Copilot
        • Category: MidJourney