IBM Professional Certificate in Generative AI Engineering

About the program

The IBM Professional Certificate in Generative AI Engineering is a unique opportunity to gain in-demand skills in just 6 months. The program focuses on developing next-generation AI skills, including large language models (LLMs), natural language processing (NLP), and deep learning using Python. No prior experience is required, making it accessible to entry-level professionals looking to build a career in AI.

Program details

• Number of courses: 16 courses.
• Duration: 6 months (6 hours per week).
• Language: English (with 29 other languages ​​available).
• Shareable Certificate: Can be added to your LinkedIn profile.

Program description

The program aims to provide aspiring AI engineers, AI developers, data scientists, machine learning engineers, and AI research engineers with fundamental skills in AI, large language models (LLMs), and natural language processing (NLP).

Course details

1. Introduction to Artificial Intelligence
   • Duration: 12 hours.
   • What you will learn:
     • Description of artificial intelligence and its basic concepts.
     • Show how AI applications are changing our lives and work.
     • Understand the potential and impact of AI in transforming businesses and jobs.
     • Describe the issues, limitations, and ethical concerns surrounding artificial intelligence.
2. Generative Artificial Intelligence: Introduction and Applications
   • Duration: 7 hours.
   • What you will learn:
     • Distinguishing between generative AI and discriminative AI.
     • Identifying applications of generative AI in different sectors.
     • Explore generative AI models and tools for generating text, code, images, audio, and video.
3. Generative AI: Rapid Engineering Essentials
   • Duration: 7 hours.
   • What you will learn:
     • Apply best practices for creating claims and explore examples of impactful claims.
     • Use commonly used tools for rapid engineering.
4. Python for Data Science, AI, and Development
   • Duration: 25 hours.
   • What you will learn:
     • Learn Python, the most popular programming language for data science and software development.
     • Using Python libraries like Pandas, Numpy, and Jupyter Notebooks.
5. Developing AI applications using Python and Flask
   • Duration: 11 hours.
   • What you will learn:
     • Build and deploy an AI-based application using Flask.
     • Explain the features of Flask and publishing applications to the web.
6. Building AI-Powered Generative Applications Using Python
   • Duration: 13 hours.
   • What you will learn:
     • Integrating and augmenting large language models (LLMs) using RAG technology.
     • Create AI-powered chatbots and apps.
7. Data Analysis Using Python
   • Duration: 15 hours.
   • What you will learn:
     • Clean and prepare data for analysis using libraries like Pandas and Numpy.
     • Building and evaluating regression models using scikit-learn.
8. Machine Learning Using Python
   • Duration: 20 hours.
   • What you will learn:
     • Apply data preparation techniques and manage bias-variance trade-offs.
     • Implement basic machine learning algorithms such as linear regression and decision trees.
9. Introduction to Deep Learning and Neural Networks with Keras
   • Duration: 9 hours.
   • What you will learn:
     • Building your first deep learning model using Keras.
     • Understanding unsupervised and supervised deep learning models.
10. Generative Artificial Intelligence and LLM: Architecture and Data Preparation
    • Duration: 5 hours.
    • What you will learn:
      • Distinguish between generative AI structures and models.
      • Create an NLP data loader using PyTorch.
11. Gen AI's core AI models for natural language processing and language understanding
    • Duration: 9 hours.
    • What you will learn:
      • Create and use word2vec models for contextual embedding.
      • Application of N-gram and sequence-to-sequence techniques.
12. Generative AI Language Modeling Using Transformers
    • Duration: 8 hours.
    • What you will learn:
      • Application of attention mechanisms in transformers.
      • Document classification and language translation using GPT and BERT.
13. Generative AI Engineering and Fine-Tuning Transformers
    • Duration: 8 hours.
    • What you will learn:
      • Perform efficient fine-tuning of parameters using LoRA and QLoRA.
14. Precise Advanced Generative AI for LLM Holders
    • Duration: 9 hours.
    • What you will learn:
      • Set instructions and model rewards using Hugging Face.
15. AI Agent Basics Using RAG and LangChain
    • Duration: 6 hours.
    • What you will learn:
      • Applying RAG, PyTorch, and Hugging Face techniques to various applications.
16. Project: Generative AI Applications with RAG and LangChain
    • Duration: 9 hours.
    • What you will learn:
      • Build a real-world AI application.
      • Create and configure a vector database to store document embeddings.

Skills you will acquire

• Software testing.
• Application development.
• Python programming.
• Machine and deep learning.
• Natural Language Processing (NLP).

How to apply

• To apply, visit the following link: Application link .

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Application deadline

• Always open.

Official registration link