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Generative AI Engineering with LLMs Specialization

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IntermediateSpecialization

Build job-ready Generative AI LLMs skills in just three months with valuable credentials. Working knowledge of Python and PyTorch is an asset.

Language

  • English

Topic

  • Artificial Intelligence

Skills You Will Learn

  • Hugging Face Libraries, Large Language Models, NLP Data Loader, PyTorch, Tokenization, Generative AI For NLP, N-Gram, PyTorch Torchtext, Sequence-to-Sequence Model, Word2Vec Model, Bidirectional Encoder Representations From Transformers (BERT), Generative Pre-trained Transformers (GPT), Language Transformation, Positional Encoding And Masking, PyTorch Functions, Fine-tuning LLMs, Hugging Face, LoRA And QLoRA, Pretraining Transformers, Direct Preference Optimization (DPO), Instruction-tuning, Proximal Policy Optimization (PPO), Reinforcement Learning, Chatbots, In-context Learning And Prompt Engineering, LangChain, Retrieval Augmented Generation (RAG), Vector Databases, Generative AI Applications, Gradio, Vector Database

Offered By

  • IBM

Platform

  • SkillsNetwork

Last Update

  • September 3, 2025
About this Specialization
This specialization equips you with the cutting-edge knowledge and practical experience needed to advance as a machine learning engineer. 

You will learn: 
 
  • In-demand, job-ready skills in Generative AI, NLP apps, and large language models (LLMs) in just 3 months 
  • To tokenize and load text data to train LLMs and deploy Skip-Gram, CBOW, Seq2Seq, RNN-based, and Transformer-based models with PyTorch 
  • To employ frameworks and pre-trained models such as LangChain and Llama for training, developing, fine-tuning, and deploying LLM applications 
  • To implement a question-answering NLP system by preparing, developing, and deploying Natural Language Processing (NLP)applications using Retrieval-Augmented Generation (RAG) 
 
Specialization Overview 
 
The Generative AI market is expected to grow 46% yearly till 2030 (Source: Statista) creating an unprecedented demand for skills professionals. Generative AI engineers are in high demand. This Specialization gives aspiring data scientists, machine learning engineers, and AI developers essential skills in generative AI, LLMs, and NLP that employers need.  
 
Generative AI engineers create intelligent systems that understand and generate human language, leveraging advanced machine learning techniques and powerful LLMs to bring these capabilities to life. 
In this Specialization, you will develop skills to build apps using frameworks and pre-trained foundation models such as BERT, GPT, and LLaMA. You’ll use the Hugging Face transformers library, PyTorch deep learning library, RAG, and LangChain framework to develop and deploy LLM NLP-based applications. You’ll explore tokenization, data loaders, language and embedding models, transformer techniques, attention mechanisms, and prompt engineering.  
 
Through this Specialization’s series of short courses, which can all be completed in as little as 4 months, you’ll also gain practical experience through hands-on labs and a project, which is great for interviews.  
 
This Specialization is ideal for gaining job-ready skills required by Generative AI engineers, machine learning engineers, data scientists, and AI developers. Note that for this intermediate-level program you need a working knowledge of Python, machine learning, and neural networks, and exposure to PyTorch is helpful. 
 
Through the hands-on labs and projects in each course, you will gain practical skills in using LLMs for developing NLP-based applications. 
 
Labs and projects you will complete include: 
 
  • Creating an NLP data loader 
 
  • Developing and training a language model with a neural network 
 
  • Applying transformers for classification, building, and evaluating a translation model 
 
  • Engineering prompts and in-context learning 
 
  • Fine-tuning models 
 
  • Applying LangChain tools 
 
  • Building AI agents and applications with RAG and LangChain 
 
In the final course, you will complete a capstone project, applying what you have learned to develop a question-answering bot through a series of hands-on labs. You begin by loading your document from various sources, then apply text splitting strategies to enhance model responsiveness, and use watsonx for embedding. You’ll also implement RAG to improve retrieval and set up a Gradio interface to construct your QA bot. Finally, you will test and deploy your bot. 
  
Who should enroll? 
This program is perfect for professionals seeking to excel as Generative AI engineers, machine learning specialists, data scientists, or AI developers. A background in Python, machine learning, and neural networks is essential, and familiarity with PyTorch is advantageous. 
 
If you’re keen to take your generative AI engineering career to the next level and boost your resume with in-demand generative AI competencies that catch an employer's eye, ENROLL today and have job-ready skills you need for a resume that will open up rewarding career opportunities.  

Courses and Projects in this Specialization

Guide to Generative AI and LLM Architectures
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Guide to Generative AI and LLM Architectures

Build in-demand, job-ready generative AI architecture and data science skills in less than a month. No programming experience is required.

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Generative AI Models for Natural Language (NLP & NLU)
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CourseIntermediate
Generative AI Models for Natural Language (NLP & NLU)

Build job-ready AI models using NLP and earn valuable practical experience and credentials in just three weeks. Knowledge of Python and PyTorch is required.

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Transformers for Generative AI Language Models
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CourseIntermediate
Transformers for Generative AI Language Models

Build job-ready skills for language modeling in just 3 weeks. Plus, valuable practical experience and a credential. Familiarity with Python and PyTorch recommended.

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Fine-Tuning Transformers and Gen AI Models
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CourseIntermediate
Fine-Tuning Transformers and Gen AI Models

Familiar with Python and PyTorch? Build job-ready skills in Generative AI fine-tuning transformers in 2 weeks! Get practical experience and a credential.

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Advanced Fine-Tuning for Large Language Models (LLMs)
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CourseIntermediate
Advanced Fine-Tuning for Large Language Models (LLMs)

Fine-tune Large Language Models (LLMs) to enhance AI accuracy and optimize performance with cutting-edge skills employers seek

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Building AI Agents with RAG and LangChain
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CourseIntermediate
Building AI Agents with RAG and LangChain

Gain job-ready skills in building AI agents in just 2 weeks. Plus, valuable practical experience and a credential. Build familiarity with RAG and LangChain.

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AI Application Project with RAG and LangChain
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CourseIntermediate
AI Application Project with RAG and LangChain

Build a real-world Generative AI app using LangChain, RAG, and vector databases. Gain hands-on skills to boost your AI career and impress in interviews.

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