Applied GenAI Python: LangChain, RAG & Agentic AI
The Applied Generative AI with Python course by Koenig Original equips data scientists, AI developers, and software engineers with practical skills to build and deploy production-ready generative AI applications using Python, addressing the industry’s urgent need for professionals capable of implementing cutting-edge AI solutions—evidenced by a 40% year-over-year growth in GenAI job postings.
Prepare for roles as Generative AI Developers or LLM Application Builders with hands-on mastery of LangChain, HuggingFace, and RAG architectures. This course includes 30-day lab access for immersive practice and concludes with a full-stack AI project deployment, empowering learners to innovate responsibly in AI-driven sectors like FinTech and HealthTech.
Training Formats & Pricing
100% Happiness Guarantee · Free Rescheduling · Secure Payment
Course Overview
The Applied Generative AI with Python course by Koenig Original is designed for aspiring Generative AI Developers, LLM Application Developers, and Junior AI Engineers seeking to master the practical implementation of generative models using Python. This comprehensive training program focuses on equipping learners with the skills to build and deploy AI-driven applications, leveraging the latest advancements in large language models and multimodal AI. With 78% of enterprises now adopting generative AI technologies according to recent Gartner research, this course addresses the growing industry demand for professionals who can implement production-ready AI solutions. Participants will gain hands-on experience in prompt engineering, retrieval-augmented generation, and full-stack AI application development, preparing them for roles in fast-growing sectors like HRTech, FinTech, and HealthTech.
Students engage with key technologies including HuggingFace, LangChain, Gradio, Pinecone, ChromaDB, and Docker, working through realistic scenarios in a live training environment. The hands-on labs component centers on building a full-stack generative AI application for HR use cases, where learners integrate an LLM-powered chatbot with a retrieval-augmented generation pipeline, connect it to vector databases like Weaviate, and deploy the complete solution using Kubernetes. Using the official courseware and cloud-based lab platforms, participants gain practical experience in securing AI applications, implementing model context protocol, and managing deployment workflows. A capstone project involves creating a multimodal AI system capable of processing text, images, and structured data inputs to generate intelligent responses.
This course prepares learners for emerging roles in the AI ecosystem, aligning with industry-recognized skill frameworks and certification paths in generative AI development. Graduates can expect competitive compensation, with Glassdoor reporting average salaries of $142,000 for Generative AI Developers in the United States. As a differentiator, Koenig Original offers 1-on-1 training and Guaranteed-to-Run sessions, ensuring personalized instruction and flexible scheduling. By completing this program, participants position themselves at the forefront of AI innovation, ready to lead generative AI initiatives and drive digital transformation in forward-thinking organizations.
What You'll Learn
Skills You'll Gain
Prerequisites
- "prerequisites": [
- "Proficiency in Python programming, including writing functions, classes, modules, and handling exceptions, is essential for mastering Applied Generative AI with Python by Koenig Original. This foundational skill ensures you can effectively build and implement AI models.",
- "Hands-on experience with Python data science libraries like NumPy for numerical computing and Pandas for data manipulation is recommended. These tools are crucial for processing data efficiently in Applied Generative AI with Python courses.",
- "A solid understanding of core machine learning concepts such as supervised learning, unsupervised learning, and model evaluation metrics will help you grasp advanced generative AI techniques covered in this training.",
- "Familiarity with deep learning fundamentals and at least one framework like TensorFlow, Keras, or PyTorch is highly beneficial. This knowledge enables you to develop and deploy generative AI models effectively.",
- "Basic knowledge of natural language processing techniques and transformer architectures will give you a head start in understanding the latest AI innovations presented in Applied Generative AI with Python by Koenig Original."
- ]
Certification Exam
Everything you need to know about the Applied GenAI Python: LangChain, RAG & Agentic AI certification exam
Course Curriculum
Structured learning with hands-on labs and real-world scenarios
1
Day 1– Mastering Applied Generative AI with Python Fundamentals
2
Day 2– LLM Deployment and Gradio Interface Development
3
Day 3– Multimodal AI Systems with HuggingFace
4
Day 4– Advanced Prompt Engineering and Structured Data
5
Day 5– Vector Databases, RAG, and LangChain Integration
What's Included in Your Training
Every enrollment comes packed with resources to maximise your learning and exam success
Exam Preparation Materials
Practice Test Questions (200+)
Certificate of Completion
Post-Training Support (30 days)
Session Recording Access
Free Rescheduling (7+ days notice)
Career Outcomes
of Applied GenAI Python: LangChain, RAG & Agentic AI certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the Applied GenAI Python: LangChain, RAG & Agentic AI certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- Generative AI Engineer
- AI/ML Python Developer
- Generative AI Specialist
- Machine Learning Engineer
- AI Solutions Architect
- Python AI Consultant
Companies Hiring
and 5,000+ organizations worldwide seeking Applied GenAI Python: LangChain, RAG & Agentic AI certified professionals
Course Student Reviews
Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.
-
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified
-
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
Frequently Asked Questions
Everything you need to know about the Applied GenAI Python: LangChain, RAG & Agentic AI training course
Is the certification exam included in the Applied Generative AI with Python course, and what is the exam fee if separate?
What training formats does Koenig offer for Applied Generative AI with Python, and is there a Guaranteed-to-Run option?
How long is lab access provided, and what environment is used for hands-on practice in the course?
What is Koenig's rescheduling and cancellation policy for the Applied Generative AI with Python course?
What is the format, number of questions, time limit, and passing score for the Applied Generative AI with Python certification exam?
How long is the certification valid, and what is the renewal process and cost for the Applied Generative AI with Python credential?
What post-training support does Koenig provide after completing the Applied Generative AI with Python course?
What are the prerequisites or prior experience needed for the Applied Generative AI with Python course?
What salary increase and career impact can professionals expect after completing the Applied Generative AI with Python course?
How does the Applied Generative AI with Python course compare to self-study in terms of learning outcomes and time efficiency?
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