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AI 101 (Technical) – AI Foundations for Technical Practitioners

AI 101 (Technical) – AI Foundations for Technical Practitioners by Galvanize equips software engineers and technical practitioners with the skills to design, build, and deliver AI-enabled systems in real engineering environments. It solves the growing industry challenge of integrating AI into development workflows while maintaining code quality and system reliability—critical as 70% of enterprises now prioritize AI-augmented software delivery. Participants learn to translate ambiguous requirements into structured specifications, apply test-driven development with AI, and implement disciplined, production-ready coding practices using tools like GitHub Copilot and LangChain.

This course prepares learners for the Galvanize AI Practitioner Certification, validating their ability to engineer robust AI-integrated applications. Koenig Solutions delivers this training with official vendor-authorized courseware and 30-day lab access, ensuring hands-on mastery. Graduates gain the expertise to lead AI-assisted development initiatives, improve delivery velocity, and drive innovation in modern engineering teams.

80 Hours (10 Days)
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0+ professionals trained

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Course Overview

The AI 101 (Technical) – AI Foundations for Technical Practitioners course by Galvanize is designed for software engineers, data engineers, and technical leads seeking to integrate artificial intelligence into real-world development workflows. While not tied to a single certification exam, this program builds foundational skills aligned with enterprise AI adoption standards used by leading technology organizations. Participants gain practical expertise in translating ambiguous requirements into production-ready implementations using AI-assisted development practices. With 74% of enterprises now piloting or deploying AI in software delivery according to industry benchmarks, this course equips technical practitioners with in-demand capabilities to remain competitive in modern engineering environments.

Participants engage with key technologies including GitHub Copilot, OpenAI API, Anthropic Claude, LangChain, Hugging Face Transformers, and RAG systems within hands-on lab environments that simulate real engineering workflows. The course emphasizes practical application through structured prompting, test-driven development with AI, and human–AI pairing techniques where students build and evaluate code generated by large language models. Using real-world scenarios, learners complete labs that involve designing AI-ready specifications, generating scaffolded code from formal requirements, and validating outputs against acceptance criteria. These exercises are conducted in cloud-based coding environments that mirror professional software delivery pipelines, enabling engineers to safely practice AI integration while maintaining code quality and system reliability.

Graduates of the AI 101 (Technical) – AI Foundations for Technical Practitioners program by Galvanize are equipped to advance into AI-enhanced engineering roles with greater efficiency and responsibility. Alumni from Galvanize programs report an average salary of $95,000, reflecting strong market demand for AI-fluent technical talent. While this course does not map to a specific vendor certification, it delivers industry-recognized competencies in responsible AI deployment and AI-assisted software delivery. Koenig Solutions enhances this learning experience with Guaranteed-to-Run scheduling, official courseware, and access to 1-on-1 post-training support, ensuring learners can apply these skills effectively. Completing this program positions technical practitioners to lead AI adoption within their organizations, driving innovation while maintaining engineering discipline and operational integrity.

What You'll Learn

✓Create AI-ready specifications and implementation contracts that ensure seamless AI integration in your projects.
✓Use test-driven development techniques within AI-assisted workflows to improve code quality and reliability.
✓Assess AI-generated code and design choices to ensure they meet project standards and requirements.
✓Implement structured prompting techniques using Galvanize engineering patterns for consistent AI interactions.
✓Secure AI integrations by applying Galvanize's safe deployment practices to protect your systems and data.
✓Enhance AI-assisted software delivery efficiency with Galvanize workflows, reducing deployment time and errors.

Skills You'll Gain

LLM Fundamentals Prompt Engineering AI-Assisted Development Test-Driven Development GitHub Copilot OpenAI API Anthropic Claude Hugging Face Transformers LangChain RAG Systems Vector Databases AI-Generated Code Evaluation Structured Prompting AI Workflow Design Model Behavior Analysis AI Integration Patterns Responsible AI Deployment

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in English reading, writing, and verbal communication for technical comprehension in AI 101 (Technical) – AI Foundations for Technical Practitioners by Galvanize.
  • Basic computer literacy, including file management and web application usage, is necessary for effective AI development.
  • Ability to write a Python script using loops, lists, and functions, with a requirement of Python 3.8+.
  • Experience using Git commands like clone, commit, and push to manage software development workflows.
  • Ability to set up and manage a local development environment using VS Code or Jupyter Notebooks with necessary tools and dependencies.
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What's Included in Your Training

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

Career Outcomes

80%

of AI 101 (Technical) – AI Foundations for Technical Practitioners certified professionals report career advancement within 6 months

Salary Impact

+22%

Average salary increase reported after obtaining the AI 101 (Technical) – AI Foundations for Technical Practitioners 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
  • AI Software Engineer
  • Machine Learning Engineer
  • AI Integration Specialist
  • Software Developer with AI
  • AI-Assisted Development Lead
  • Responsible AI Engineer

Companies Hiring

5,000+
Google Microsoft Amazon Accenture Deloitte IBM Salesforce Intel NVIDIA Capital One

and 5,000+ organizations worldwide seeking AI 101 (Technical) – AI Foundations for Technical Practitioners 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+
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Professionals Trained
  • ★★★★★

    “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

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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.

    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
  • ★★★★★

    “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 AI 101 (Technical) – AI Foundations for Technical Practitioners training course

Is a formal certification exam included in the AI 101 (Technical) – AI Foundations for Technical Practitioners course, and what is the exam fee?
The course does not include a formal external certification exam. Instead, Galvanize uses internal module-end assessments requiring an 80% passing score. There is no additional exam fee, as these assessments and your certificate of completion are fully included in the course tuition.
What training formats are available for the AI 101 (Technical) – AI Foundations for Technical Practitioners course, and is Guaranteed-to-Run scheduling available?
Galvanize delivers the AI 101 (Technical) – AI Foundations for Technical Practitioners course in a live online format. We offer Guaranteed-to-Run scheduling, ensuring your sessions proceed as planned regardless of enrollment numbers.
How long is lab access provided for the AI 101 (Technical) – AI Foundations for Technical Practitioners course, and what environment is used?
Lab access is provided throughout the four-day course duration in a virtual environment. These labs utilize cloud-based platforms including TensorFlow, OpenAI API, and GitHub Copilot, meaning no local VM setup is required for you to start building.
What is the rescheduling and cancellation policy for the AI 101 (Technical) – AI Foundations for Technical Practitioners course?
Students must request deferment at least three weeks before the start date; rescheduling after commencement follows standard withdrawal policies. Cancellations within five business days of enrollment qualify for a full refund, while later cancellations incur a $100 fee plus pro-rated tuition.
What is the format, passing score, and time limit for the AI 101 (Technical) – AI Foundations for Technical Practitioners assessments?
The assessment includes timed tests with multiple-choice, free-text, and code evaluation questions, plus coding projects. An 80% score is required to pass, and assessments are completed within a half-day format, typically lasting 4–6 hours per module evaluation.
How long is the AI 101 (Technical) – AI Foundations for Technical Practitioners certificate valid, and what is the renewal process and cost?
The Galvanize AI 101 (Technical) – AI Foundations for Technical Practitioners certificate of completion does not expire and requires no renewal fees. It serves as a permanent, verifiable credential validating the foundational AI engineering skills acquired during this intensive four-day program.
What post-training support does Galvanize provide after completing the AI 101 (Technical) – AI Foundations for Technical Practitioners course?
Galvanize provides post-training support, including access to alumni networks, career services, and networking events. Learners also receive expert instructor feedback and can retake modules once under the program's mastery learning policy.
What are the prerequisites, course code, and tuition for the AI 101 (Technical) – AI Foundations for Technical Practitioners course?
This course (Code: AI-101-TECH) is priced at $2,495. It is designed for experienced software and data engineers who possess foundational programming skills. Familiarity with Python, APIs, and software development workflows is expected, as the curriculum focuses on integrating advanced AI into existing professional engineering practices.
What is the typical salary increase or career impact after completing the AI 101 (Technical) – AI Foundations for Technical Practitioners course?
While specific salary data isn't published, engineers with AI integration skills see high demand, with AI-related job postings growing 3.5x faster than average. Graduates gain capabilities in prompt-driven development, positioning them for high-growth roles in AI engineering and machine learning operations.
How does instructor-led training for AI 101 (Technical) – AI Foundations for Technical Practitioners compare to self-study in terms of outcomes?
Galvanize's instructor-led training delivers structured, hands-on labs and real-time feedback, resulting in measurable skill gains—such as assessment scores rising from 46% to 62% in enterprise cohorts—providing the guided practice, peer collaboration, and expert evaluation critical for mastering AI engineering.
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