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No-Code AI and Machine Learning: Building Data Science Solutions

Accelerate your digital transformation by building production-ready AI models without writing a single line of code. The No-Code AI and Machine Learning: Building Data Science Solutions curriculum, delivered by Koenig Solutions, equips business leaders, product managers, and non-technical professionals with the skills to design and deploy AI solutions independently. It solves the critical pain point of technical barriers preventing data-driven innovation, enabling rapid prototyping. With 78 percent of enterprises prioritizing no-code platforms for digital transformation, this course delivers practical expertise in KNIME, AutoML, and LLM workflows. Koenig provides official courseware and 30-day lab access, ensuring hands-on mastery for leading AI initiatives.

24 Hours (3 Days)
Live Online / Classroom
1+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,450
Dedicated instructor, your schedule
Available in all languages
Fastest
Public Batch USD 1,150
Group class, fixed schedule
Available in all languages
Most Popular
Self-Paced USD 199
Recorded sessions, learn anytime
Available in all languages — delivered within 24 hours
Best Value

100% Happiness Guarantee · Free Rescheduling · Secure Payment

Course Overview

The No-Code AI and Machine Learning: Building Data Science Solutions course by Open Source is designed for business analysts, product managers, and IT professionals seeking to leverage artificial intelligence without programming expertise. This hands-on program covers core data science concepts including data preprocessing, predictive modeling, and machine learning workflows using intuitive visual interfaces. Learners prepare for real-world challenges in industries where 72% of enterprises now adopt no-code AI tools to accelerate digital transformation. The curriculum serves roles such as Data Analyst, Business Intelligence Developer, and AI Project Coordinator, equipping them with the skills to bridge technical and operational teams in deploying scalable AI solutions.

Students engage with leading open-source platforms including KNIME Analytics Platform, Orange Data Mining, Google Vertex AI Workbench, and BigQuery ML within a cloud-based lab environment. Through guided projects, learners build end-to-end workflows such as automated regression models, classification pipelines, and recommendation systems using drag-and-drop interfaces. A key hands-on component involves constructing a multi-agent data analysis system on Vertex AI that integrates natural language processing, code interpretation, and database querying via NL2SQL. One capstone scenario tasks students with developing an AI-driven support ticket classifier that retrieves knowledge, generates policy-compliant responses, and escalates complex cases—mirroring real implementations at companies like IBM and Microsoft.

While no formal certification exam is tied to this course, completion demonstrates proficiency in no-code AI methodologies recognized by hiring managers across tech, healthcare, and finance sectors. Graduates report salary increases of up to 30%, with AI and machine learning roles averaging $192,000 annually in the U.S. Koenig Solutions enhances this training with Guaranteed-to-Run scheduling and access to official courseware, ensuring consistent delivery regardless of cohort size. By mastering these tools, professionals position themselves to lead AI adoption initiatives, drive data-informed decision-making, and transition into high-impact roles shaping the future of intelligent automation.

What You'll Learn

Design AI workflows with Open Source PyCaret to simplify data science projects and accelerate deployment.
Build no-code machine learning pipelines effortlessly using Open Source tools, reducing development time and technical barriers.
Deploy predictive models quickly with Open Source Gradio interfaces, enabling easy sharing and real-time testing.
Set up computer vision solutions using Open Source CNN templates, making advanced image analysis accessible without coding.
Orchestrate data science applications seamlessly with Open Source Taipy, streamlining complex workflows for faster results.
Validate and optimize AI models on Open Source platforms to enhance accuracy and performance, ensuring reliable solutions.

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of data-driven decision-making with no-code AI and machine learning
  • Understanding of linear regression and basic probability distributions to support data science modeling
  • Experience using no-code platforms like KNIME or n8n to develop AI models, with at least 20 hours of prior experience or completion of two end-to-end data pipeline projects
  • Ability to set up and configure no-code AI tools in local (Docker) or cloud (AWS or Google Cloud Platform) environments to accelerate data science projects
  • Understanding of supervised and unsupervised learning techniques to improve AI model accuracy and insights
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Certification Exam

Everything you need to know about the No-Code AI and Machine Learning: Building Data Science Solutions certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
N/A
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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

78%

of No-Code AI and Machine Learning: Building Data Science Solutions certified professionals report career advancement within 6 months

Salary Impact

+24%

Average salary increase reported after obtaining the No-Code AI and Machine Learning: Building Data Science Solutions 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
  • Business Intelligence Analyst
  • AI Product Manager
  • Data Analyst with ML Skills
  • Machine Learning Project Coordinator
  • No-Code AI Developer
  • Analytics Translator

Companies Hiring

5,000+
Microsoft Amazon IBM Dell Netflix Accenture Deloitte Capgemini TCS Wipro

and 5,000+ organizations worldwide seeking No-Code AI and Machine Learning: Building Data Science Solutions 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
Average Rating
95%
Would Recommend
1M+
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

    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
  • ★★★★★

    “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 No-Code AI and Machine Learning: Building Data Science Solutions training course

What is the certification and assessment policy for the No-Code AI and Machine Learning: Building Data Science Solutions course by Open Source?
The No-Code AI and Machine Learning: Building Data Science Solutions course by Open Source does not include a certification exam. As a vendor-neutral training program, it focuses on practical application rather than testing. Consequently, there are no exam fees, validity periods, or renewal requirements.
What delivery modes does the training partner offer for the No-Code AI and Machine Learning: Building Data Science Solutions course?
The training partner offers live online 1-on-1, classroom, and self-paced delivery for the No-Code AI and Machine Learning: Building Data Science Solutions course. All sessions include Guaranteed-to-Run scheduling, ensuring your training proceeds without cancellation across 195+ countries and multiple time zones.
How long is lab access provided for the No-Code AI and Machine Learning: Building Data Science Solutions course, and what environment is used?
You receive 30-day lab access for the No-Code AI and Machine Learning: Building Data Science Solutions course via a secure cloud sandbox. Participants gain hands-on experience with open source no-code AI platforms to build real-world data science solutions.
What is the rescheduling policy for the No-Code AI and Machine Learning: Building Data Science Solutions course, including any fees?
The training partner allows one reschedule for the No-Code AI and Machine Learning: Building Data Science Solutions course by contacting support. A 50% cancellation fee applies if requested 10 days or less before the start; full refunds are available with feedback before the course concludes.
What is the total duration of the No-Code AI and Machine Learning: Building Data Science Solutions course?
The No-Code AI and Machine Learning: Building Data Science Solutions course consists of 32 hours of intensive training, typically delivered over 4 days. This structure ensures comprehensive coverage of open source no-code AI tools and data science methodologies.
What post-training support is provided after completing the No-Code AI and Machine Learning: Building Data Science Solutions course?
The training partner provides mentor access, community forums, and retake options after the No-Code AI and Machine Learning: Building Data Science Solutions course. You also receive a 30-day lab extension and recorded sessions to support ongoing practice with open source no-code AI tools.
What prerequisites or experience are needed for the No-Code AI and Machine Learning: Building Data Science Solutions course by Open Source?
No prior coding experience is required for the No-Code AI and Machine Learning: Building Data Science Solutions course. Basic data literacy and business problem-solving skills are sufficient, making this training accessible to professionals seeking to implement open source no-code AI solutions.
What salary or career impact does completing the No-Code AI and Machine Learning: Building Data Science Solutions course offer?
Completing the No-Code AI and Machine Learning: Building Data Science Solutions course prepares you for roles like AI analyst, with potential salaries ranging from $85,000 to $120,000 annually. According to the 2023 LinkedIn Workplace Learning Report, upskilling in emerging technologies significantly boosts employability and career mobility.
How does the No-Code AI and Machine Learning: Building Data Science Solutions course compare with self-study for open source tools?
The No-Code AI and Machine Learning: Building Data Science Solutions course offers structured instructor guidance compared to self-study. The training partner's 30-day labs and GTR batches accelerate mastery, effectively reducing your self-study time by half for equivalent open source no-code proficiency.
Is the No-Code AI and Machine Learning: Building Data Science Solutions course vendor-neutral?
Yes, the No-Code AI and Machine Learning: Building Data Science Solutions course is an Open Source curriculum. It is designed to be vendor-neutral, focusing on universal no-code AI principles rather than specific proprietary software, ensuring the skills are transferable across various industry platforms.
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