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Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI

The Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI course by Koenig Original equips data scientists and AI engineers with advanced skills in transformer models, retrieval-augmented generation (RAG), and agentic AI systems—solving the industry-wide challenge of deploying context-aware, production-ready NLP applications. With 90% of Fortune 500 companies now leveraging transformer-based models, this course bridges the gap between theoretical knowledge and real-world implementation.

Preparation for the Hugging Face certification validates expertise in Transformers library and model deployment. Koenig’s Guaranteed-to-Run dates and 30-day lab access ensure hands-on mastery, empowering professionals to lead AI innovation in enterprise environments.

56 Hours (7 Days)
Live Online / Classroom
1+ professionals trained

Training Formats & Pricing

1-on-1 USD 2,850
Dedicated instructor, your schedule Fastest
Public Batch USD 2,250
Group class, fixed schedule Most Popular
Self-Paced On Request
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Course Overview

The Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI course by Koenig Original is designed for data scientists, AI engineers, and machine learning developers seeking to master advanced natural language processing techniques. This comprehensive program delves into transformer architectures, large language models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems, equipping learners with skills in high demand across industries. With enterprises increasingly adopting AI—78% of Fortune 500 companies now deploying NLP solutions—this course prepares professionals for roles such as NLP Engineer, AI Research Scientist, and Machine Learning Architect. Participants gain hands-on experience with cutting-edge frameworks critical for building intelligent, autonomous systems.

Students engage with key technologies including BERT, LangChain, LangGraph, AutoGen, Chroma, and Pinecone within a hands-on lab environment. The course features interactive labs where learners build production-grade AI agents, implement agentic RAG pipelines, and develop multi-agent systems capable of collaborative problem-solving. Using platforms like Gradio and Streamlit, students configure and deploy task-specific chatbots and autonomous research agents, integrating open-source LLMs such as Llama and Mixtral. A capstone project involves constructing a Research Analyst Assistant with self-verification capabilities, simulating real-world enterprise applications of intelligent AI workflows.

Graduates of the Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI training are well-positioned for high-impact roles in AI innovation, with NLP engineers earning average total compensation of $180K–$300K, and those with LLM and agentic AI expertise commanding premiums of 8–15%. The course prepares learners for advanced AI engineering certifications and aligns with industry-recognized practices in responsible AI and enterprise deployment. As a Koenig Original program, it offers flexible learning options and access to expert instructors with real-world AI implementation experience, ensuring participants are equipped to design and deploy next-generation AI solutions that drive business transformation.

What You'll Learn

Implement BERT-based text classification using PyTorch to achieve 90%+ classification accuracy on custom datasets.
Fine-tune large language models (LLMs) with Hugging Face Transformers to reduce training time by 30% through optimized hyperparameter tuning.
Design Retrieval-Augmented Generation (RAG) pipelines using FAISS and Pinecone to improve enterprise knowledge retrieval precision by 25%.
Build agentic AI workflows with LangChain to automate multi-step reasoning tasks with 95% task completion reliability.
Deploy scalable NLP microservices using vLLM to reduce inference latency by 20% in production environments.
Optimize transformer models with Parameter-Efficient Fine-Tuning (PEFT) techniques to maintain 98% baseline performance while reducing memory footprint by 40%.

Skills You'll Gain

BERT Models Transformer Architecture Hugging Face LangChain LangGraph AutoGen RAG Pipeline Agentic RAG Vector Databases ReAct Agents Multi-Agent Systems LLM Fine-Tuning Prompt Engineering Tool Calling Memory-Augmented Agents Responsible AI AI Governance

Prerequisites

Recommended knowledge before taking this course
  • Working knowledge of Python programming and experience with libraries such as NumPy and pandas, essential for mastering "Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI" by Koenig Original.
  • Fundamental understanding of deep learning concepts and neural networks helps learners grasp advanced NLP techniques covered in this course.
  • Experience with at least one deep learning framework, such as PyTorch or TensorFlow, is necessary to implement transformer models effectively.
  • Basic familiarity with natural language processing (NLP) tasks like tokenization, text classification, and named entity recognition (NER) prepares students for practical applications in this field.
  • Hands-on experience with the Hugging Face Transformers library and pre-trained models accelerates learning of transformer-based NLP solutions.
  • Understanding of transformer architecture components, including attention mechanisms and embeddings, is crucial for developing advanced language models.
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Certification Exam

Everything you need to know about the Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI certification exam

Exam Details
Exam Name
Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI
Exam Cost
Included in course fee
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Unlimited access to course materials for review
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Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Agentic AI Fundamentals
Defining Agentic AI concepts Evolution: Rule-based to Generative and Agentic AI Core characteristics of Agentic AI systems Generative AI versus Agentic AI performance Enterprise-grade real-world use cases Managing hallucinations and prompt dependency Governance, security, and access control Responsible AI frameworks and safety guardrails
2
Day 2– Agentic AI System Architecture
Implementing Reflex Agent models ReAct Agents for Reasoning and Acting Planning Agents: Planner and Executor workflows Multi-Agent Systems and team collaboration Agent lifecycle and workflow orchestration Architecting solutions with tools and memory Integrating RAG within agentic systems Advanced hallucination mitigation techniques
3
Day 3– Applied Agentic Frameworks Overview
Core LangChain development fundamentals LangGraph for graph-based agent orchestration AutoGen framework implementation overview Managing tools, memory, and function calling Control logic for complex agent workflows Ethical considerations in agentic design Mitigating risks in autonomous systems Building your first LangChain agent
4
Day 4– Building Chatbots with Agentic AI
Deploying Llama-2, Groq, and Mixtral models Advanced multi-turn conversation management Optimizing agent memory and persona design Fine-tuning specific conversation styles UI integration using Gradio and Streamlit Building task-specific enterprise chatbots AutoGen architecture and core blocks Implementing ReAct patterns in AutoGen
5
Day 5– Agentic RAG and Multi-Agent Systems
Refreshing classical RAG pipeline knowledge Agentic RAG: retrieval, validation, and synthesis Dynamic decision-making in RAG systems Tool-driven reasoning and self-checking Vector DB integration: Chroma and Pinecone Multi-agent collaboration and negotiation Intent detection and agent routing Research Assistant project with self-verification

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

88%

of Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • NLP Engineer
  • LLM Application Developer
  • AI Agent Architect
  • RAG Systems Engineer
  • Applied AI Engineer
  • Generative AI Developer

Companies Hiring

5,000+
Google Microsoft Amazon Hugging Face Accenture Deloitte Infosys Wipro Beroe Cohere

and 5,000+ organizations worldwide seeking Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
4.9 / 5
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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI training course

Is the certification exam included in the course fee for Applied NLP with BERT and Transformers? If not, what is the exam fee?
The certification exam is optional and not included in the base tuition for Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI. You may purchase an exam voucher as an add-on, following standard Koenig Original policies for specialty credentials. Fees vary by region and specific certification requirements.
What training formats are available for the Applied NLP with BERT and Transformers course, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig Original delivers Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI via Live Online, 1-on-1, Public, and Flexi formats. All scheduled batches are Guaranteed-to-Run, ensuring your training proceeds as planned even if you are the sole participant, providing consistent, reliable scheduling for all students.
How long is lab access provided for the Applied NLP with BERT and Transformers course, and what type of environment is used?
Students receive 30 days of extended access to a live lab sandbox after completing Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI. This cloud-based environment provides hands-on practice with BERT, Transformers, RAG, and Agentic AI, ensuring you build real-world, interactive skills for immediate professional application.
What is Koenig's rescheduling and cancellation policy for the Applied NLP with BERT and Transformers course?
Koenig Original provides a flexible policy for Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI. You may reschedule once. A 50% cancellation fee applies if you cancel or reschedule within 10 days of the start date, ensuring fair resource allocation for all learners.
What is the format, number of questions, and passing score for the Applied NLP with BERT and Transformers certification exam?
Specific exam details for Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI remain proprietary to Koenig Original. Standard assessments typically feature multiple-choice questions, practical case studies, and scenario-based tasks. The passing score is generally 70%, reflecting high standards for professional certification programs.
How long is the Applied NLP with BERT and Transformers certification valid, and what is the renewal process?
The Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI certification from Koenig Original is valid for 2 years. Renewal requires completing an updated course version or passing a current assessment, keeping your expertise aligned with evolving industry standards for specialty and professional-level certifications.
What post-training support does Koenig provide after completing the Applied NLP with BERT and Transformers course?
After finishing Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI, Koenig provides 30 days of support. This includes session recordings, practice tests, and a dedicated channel. You also receive 6 hours of free trainer consultation to clarify complex concepts and solidify your learning outcomes.
What are the prerequisites for enrolling in the Applied NLP with BERT and Transformers course?
Prerequisites for Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI include basic machine learning knowledge, Python proficiency, and NLP fundamentals. This course is specifically designed for data scientists, AI engineers, and researchers aiming to master advanced transformer-based architectures and modern AI agent workflows.
What is the typical salary impact for professionals certified in Applied NLP with BERT and Transformers?
Professionals certified in Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI often command annual salaries between $120,000 and $180,000 in the US. This reflects the intense market demand for specialized expertise in BERT, RAG, and Agentic AI technologies across the global enterprise sector.
How does Koenig's Applied NLP with BERT and Transformers training compare to self-study in terms of effectiveness and time required?
Koenig's instructor-led Applied NLP with BERT and Transformers: LLMs, RAG, and Agentic AI course delivers structured learning in 40 hours. This approach significantly outperforms unstructured self-study by providing guided labs, expert mentorship, and real-world projects, which drastically accelerate your practical skill acquisition and time to professional proficiency.
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