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Applied Generative AI with Python (Foundations)

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.

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

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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

Implement core AI and Generative AI concepts with Python, gaining practical skills in applied AI development.
Deploy large language models (LLMs) locally or on cloud platforms, enabling scalable AI solutions for real-world projects.
Design user-friendly interactive interfaces with Gradio, enhancing Koenig AI applications' accessibility and engagement.
Integrate HuggingFace models and datasets seamlessly into AI workflows, accelerating development and innovation.
Build Retrieval Augmented Generation (RAG) systems using LangChain, improving AI response accuracy and context handling.
Secure LLM applications and deploy them with Docker in Koenig projects, ensuring robust, scalable, and safe AI deployments.

Skills You'll Gain

Generative AI Large Language Models HuggingFace Models LangChain Framework Gradio Interfaces Prompt Engineering RAG Implementation Vector Databases Pinecone Integration ChromaDB Weaviate Milvus FAISS Model Context Protocol Guardrail Implementation LLMOps Docker Containerization

Prerequisites

Recommended knowledge before taking this course
  • "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."
  • ]
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Certification Exam

Everything you need to know about the Applied Generative AI with Python (Foundations) certification exam

Exam Details
Exam Name
Applied Generative AI with Python (Foundations)
Exam Cost
Included in course fee
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Unlimited attempts for project submission and instructor feedback
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Applied Generative AI with Python (Foundations)

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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

82%

of Applied Generative AI with Python (Foundations) certified professionals report career advancement within 6 months

Salary Impact

+29%

Average salary increase reported after obtaining the Applied Generative AI with Python (Foundations) 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 Engineer
  • AI/ML Python Developer
  • Generative AI Specialist
  • Machine Learning Engineer
  • AI Solutions Architect
  • Python AI Consultant

Companies Hiring

5,000+
Google Microsoft OpenAI Accenture Deloitte IBM JP Morgan Amazon Meta Capgemini

and 5,000+ organizations worldwide seeking Applied Generative AI with Python (Foundations) 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.

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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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    Azure Administrator

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

    “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.”

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    Business Intelligence Lead

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  • ★★★★★

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

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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.”

    Aisha N.

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    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 Generative AI with Python (Foundations) training course

Is the certification exam included in the Applied Generative AI with Python course, and what is the exam fee if separate?
The certification exam is not included in the Applied Generative AI with Python course fee. You receive a Koenig course completion certificate. External exams, such as AWS Generative AI Specialty, cost approximately $300 USD, payable directly to the vendor via Pearson VUE, excluding taxes.
What training formats does Koenig offer for Applied Generative AI with Python, and is there a Guaranteed-to-Run option?
Koenig delivers Applied Generative AI with Python via Live Online, 1-on-1, and Self-Paced formats. Our Guaranteed-to-Run scheduling ensures your training proceeds as planned for a single participant, featuring expert-led instruction in interactive virtual classrooms or personalized, focused 1-on-1 sessions.
How long is lab access provided, and what environment is used for hands-on practice in the course?
You receive 30 days of post-course access to AWS-hosted cloud sandboxes. This environment supports hands-on practice with LangChain, HuggingFace, and RAG. These browser-based labs simulate professional AI development workflows, eliminating local configuration needs and ensuring immediate, practical skill application.
What is Koenig's rescheduling and cancellation policy for the Applied Generative AI with Python course?
Koenig permits free rescheduling of Applied Generative AI with Python with 7+ days' notice. Cancellations made 7+ days before the start date qualify for a full refund. Cancellations within 7 days incur a 15% administrative fee, adhering to our standard terms.
What is the format, number of questions, time limit, and passing score for the Applied Generative AI with Python certification exam?
The Applied Generative AI with Python course prepares you for the AWS Certified Generative AI Developer - Professional exam. It includes 75 multiple-choice and lab questions, a 180-minute time limit, and a 750/1000 passing score to validate your foundation model integration expertise.
How long is the certification valid, and what is the renewal process and cost for the Applied Generative AI with Python credential?
The AWS Certified Generative AI Developer - Professional credential is valid for three years. Renewal requires retaking the $300 USD exam or extending your certification by one year through approved AWS Skill Builder activities to maintain your professional AI status.
What post-training support does Koenig provide after completing the Applied Generative AI with Python course?
After completing Applied Generative AI with Python, Koenig provides 30 days of support, including lab access, session recordings, and a verified certificate. While formal mentorship is separate, you benefit from expert guidance during training and potential session retakes under specific plans.
What are the prerequisites or prior experience needed for the Applied Generative AI with Python course?
Success in Applied Generative AI with Python requires basic Python programming skills, command line familiarity, and core software development knowledge. Prior API and web service exposure is beneficial but not mandatory, allowing developers to master generative AI models and frameworks effectively.
What salary increase and career impact can professionals expect after completing the Applied Generative AI with Python course?
Graduates of Applied Generative AI with Python report an average 28% salary increase. Roles like Generative AI Engineer command global salaries from $90,000 to $180,000. This training accelerates your career path into high-demand, AI-driven sectors with proven, industry-recognized expertise.
How does the Applied Generative AI with Python course compare to self-study in terms of learning outcomes and time efficiency?
The instructor-led Applied Generative AI with Python course provides structured learning in 24-56 hours. This is significantly faster than self-study, offering expert mentorship, cloud labs, and a guaranteed path to mastery in production-ready LLMs, RAG, and LangChain workflows.
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