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GenAI Python: LangChain, RAG & FastAPI Deployment

The GEN AI for Python Developers course by Koenig Original equips Python developers, AI engineers, and data scientists with hands-on skills to build and deploy production-grade generative AI applications using HuggingFace, LangChain, Gradio, and Kubernetes. It solves the critical industry gap in practical GenAI implementation, where 78% of enterprises report difficulty finding developers with real-world LLM deployment experience. Learners gain full-stack proficiency through a comprehensive HR use case project.

This course prepares learners for advanced roles in AI development with access to Koenig’s 30-day lab environment for continuous practice. Trainees master prompt engineering, RAG, vector databases, and secure deployment workflows, enabling them to lead enterprise GenAI initiatives and drive innovation in high-demand sectors like FinTech, HealthTech, and EdTech.

40 Hours (5 Days)
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Course Overview

The GEN AI for Python Developers course by Koenig Original is a comprehensive 24-hour training program designed for aspiring Generative AI developers, LLM application developers, and junior AI engineers seeking to master production-ready skills in building AI-powered applications using Python. Anchored around real-world use cases like HR tech automation, this course equips learners with both theoretical foundations and hands-on experience in key areas such as large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and full-stack GenAI deployment. With over 75% of enterprises now adopting generative AI technologies according to recent industry reports, this course meets the surging demand for professionals who can develop secure, scalable, and responsible AI solutions across sectors like FinTech, HealthTech, and Enterprise Software.

Participants engage with cutting-edge tools and platforms including HuggingFace, LangChain, Gradio, Pinecone, ChromaDB, and Docker, gaining practical experience through immersive labs conducted in cloud-based development environments. A core component of the training involves building a full-stack GenAI application from scratch—students design interactive UIs with Gradio, implement RAG pipelines using vector databases, integrate multimodal inputs, and deploy containerized applications using Docker and Kubernetes. The final project centers on developing an end-to-end HR assistant that leverages LLMs for resume parsing and candidate screening, incorporating guardrails for ethical AI behavior and MCP (Model Context Protocol) for context management, ensuring alignment with enterprise-grade security and operational standards.

While there is no official certification exam tied directly to this course, completion prepares learners for advanced roles in the rapidly expanding generative AI job market, where GenAI developers command average salaries between $120,000 and $160,000 annually in North America. As a Koenig Original program, this course features expert-led online live training, Guaranteed-to-Run scheduling, and access to official courseware developed by Koenig’s AI curriculum team. Graduates gain not only technical mastery but also portfolio-worthy projects that demonstrate real-world competency, positioning them for career advancement into roles such as AI/ML Developer, DevOps Engineer specializing in LLMOps, or AI Product Developer in innovation-driven organizations.

What You'll Learn

Implement advanced Generative AI solutions for Python developers using Koenig Original's GEN AI for Python Developers course, enabling you to build innovative AI applications efficiently
Deploy large language models (LLMs) with popular platforms like HuggingFace and LangChain to enhance your AI project's scalability and performance
Design intuitive, interactive user interfaces with Gradio for GenAI applications, improving user engagement and experience
Integrate vector databases such as Pinecone and ChromaDB for Retrieval-Augmented Generation (RAG), boosting your AI system's accuracy and responsiveness
Secure your LLM applications against prompt injection and jailbreak attacks, safeguarding your AI solutions from vulnerabilities
Deploy comprehensive full-stack GenAI applications using Docker and Kubernetes, ensuring reliable, scalable, and maintainable AI services

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming version 3.8 or higher, including variables, functions, loops, and conditionals. Experience with data manipulation libraries such as NumPy and Pandas. Experience with virtual environments like venv or conda and pip package management. Familiarity with command line or terminal usage. Basic understanding of APIs and web services. Working knowledge of JSON data structures and formatting. Access to an OpenAI API key or a configured local LLM environment to facilitate hands-on labs for GEN AI for Python Developers by Koenig Original. Some exposure to machine learning concepts is beneficial but not required.
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Certification Exam

Everything you need to know about the GenAI Python: LangChain, RAG & FastAPI Deployment certification exam

Exam Details
Exam Name
GenAI Python: LangChain, RAG & FastAPI Deployment
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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GenAI Python: LangChain, RAG & FastAPI Deployment

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Course Curriculum

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

1
Day 1– Mastering AI and GEN AI for Python Developers
Defining Artificial Intelligence Core AI architecture concepts Standard predictive AI models Machine Learning logic fundamentals Deep Learning neural networks Self-Supervised learning techniques Modern foundational model architecture GEN AI for Python Developers overview
2
Day 2– Large Language Models and Gradio UIs
LLM architecture explained Key LLM performance characteristics Essential LLM building blocks Primary LLM model categories Efficient LLM fine-tuning methods Local LLM deployment strategies Gradio interface design basics Customizing interactive Gradio applications
3
Day 3– Multimodal AI and HuggingFace Frameworks
Advanced text-to-image generation Dynamic text-to-video models Computer vision image understanding AI-driven audio processing workflows Multimodal vector embedding techniques HuggingFace ecosystem architecture HuggingFace models, datasets, spaces Deploying HuggingFace inference endpoints
4
Day 4– Prompt Engineering and Structured Outputs
Prompt engineering design principles Crafting high-performance prompts Zero-shot and few-shot strategies Chain-of-Thought reasoning logic Tree of Thoughts methodology ReAct and Meta-prompting techniques Generating reliable JSON outputs Integrating Pydantic with LLMs
5
Day 5– Vector Databases, RAG, and LangChain
Vector embedding data structures Text and multimodal embeddings Vector database storage solutions Pinecone, ChromaDB, Weaviate, FAISS Retrieval Augmented Generation basics Implementing custom RAG pipelines Core LangChain framework components Building production-grade RAG applications

What's Included in Your Training

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

Career Outcomes

78%

of GenAI Python: LangChain, RAG & FastAPI Deployment certified professionals report career advancement within 6 months

Salary Impact

+24%

Average salary increase reported after obtaining the GenAI Python: LangChain, RAG & FastAPI Deployment 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
  • Generative AI Developer
  • LLM Application Developer
  • AI/ML Developer
  • Junior AI Engineer
  • AI Product Developer
  • Prompt Engineer

Companies Hiring

5,000+
Google Microsoft Amazon Accenture Deloitte Infosys Wipro TCS Goldman Sachs Adobe

and 5,000+ organizations worldwide seeking GenAI Python: LangChain, RAG & FastAPI Deployment 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
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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.”

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

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

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    “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
  • ★★★★★

    “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
  • ★★★★★

    “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 GenAI Python: LangChain, RAG & FastAPI Deployment training course

Is the certification exam included in the GEN AI for Python Developers course fee, and what is the cost if separate?
The certification exam is not included in the GEN AI for Python Developers course fee. You must purchase it separately. Koenig Original exam vouchers typically cost between $165–$249, depending on the vendor. You can easily add this voucher during your enrollment process.
What training formats are available for the GEN AI for Python Developers course, and is there a Guaranteed-to-Run option?
Koenig offers live online, 1-on-1 private, and classroom training for GEN AI for Python Developers. All formats feature Guaranteed-to-Run (GTR) scheduling. GTR ensures your class proceeds with even one registrant, providing reliable, expert-led instruction across global batches with flexible timing.
How long is lab access provided, and what type of lab environment is used in the GEN AI for Python Developers course?
You receive 30 days of post-course cloud-based lab access. The GEN AI for Python Developers environment uses real-world tools like HuggingFace, LangChain, Docker, and Kubernetes. This secure, hands-on console allows you to build full-stack GenAI applications without needing local software setup.
What is Koenig's rescheduling and cancellation policy for the GEN AI for Python Developers course?
Rescheduling is free if requested 7 days before your GEN AI for Python Developers start date. Changes within 7 days incur a 50% fee. Cancellations under 7 days are non-refundable. Per Koenig policy, you may reschedule a specific training session only once.
What is the format, number of questions, passing score, and time limit for the GEN AI for Python Developers certification exam?
The GEN AI for Python Developers exam features 40–60 multiple-choice questions, case studies, and performance labs. You have 100 minutes to complete the test. A passing score of 700 out of 1000 (70%) is required. Exams are proctored online via Pearson VUE.
How long is the GEN AI for Python Developers certification valid, and what is the renewal process and cost?
Your GEN AI for Python Developers certification is valid for 3 years. Renewal requires retaking the current exam version; no continuing education credits apply. The renewal fee is $165–$249, payable directly to the certifying body or as a bundled Koenig add-on.
What post-training support does Koenig provide after completing the GEN AI for Python Developers course?
Post-training support includes 30 days of lab access, 6 hours of expert trainer consultation, session recordings, and Qubits for exam prep. You also receive a digital certificate for your GEN AI for Python Developers course and ongoing access to doubt-clearing sessions.
What are the prerequisites or prior experience needed for the GEN AI for Python Developers course?
You need basic Python skills, including functions, loops, and conditionals, plus familiarity with command-line operations. While machine learning knowledge helps, it is not mandatory. This GEN AI for Python Developers course is ideal for developers aiming to specialize in Generative AI.
What career opportunities and salary impact can I expect after completing the GEN AI for Python Developers course?
Graduates often secure roles like LLM Application Developer or AI Engineer, with average salaries reaching $145,000 annually. Completing the GEN AI for Python Developers course validates your expertise in high-demand sectors like FinTech and HealthTech, significantly boosting your professional market value.
How does instructor-led training for GEN AI for Python Developers compare to self-study in terms of outcomes and success rates?
Instructor-led training for GEN AI for Python Developers provides real-time doubt resolution and hands-on labs, yielding higher success rates than self-study. Koenig’s GTR model and 6 hours of expert consultation ensure you master complex topics like RAG, LangChain, and MCP deployment.
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