AI for
Developers
2
Safe Harbor​
This presentation may include forward-looking statements. Forward looking statements include all statements that are not historical facts, and in
some cases, can be identified by terms such as “anticipate,” “believe,” “estimate,” “expect,” “intend,” “may,” “might,” “plan,” “project,” “will,” “would,”
“should,” “could,” “can,” “predict,” “potential,” “continue,” or the negative of these terms, and similar expressions that concern our expectations,
future performance, strategy, estimates of market size and opportunity, plans or intentions. By their nature, these statements are subject to
numerous risks and uncertainties, including factors beyond our control, that could cause actual results, performance or achievement to differ
materially and adversely from those anticipated or implied in the statements. These and other risk factors are described in the “Risk Factors”
section of our Annual Report on Form 10-K filed annually with the Securities and Exchange Commission following the conclusion of our fiscal
year ended January 31 as well as in our Forms 10-Q and other filings with the Securities and Exchange Commission. Although our management
believes that the expectations reflected in our statements are reasonable, we cannot guarantee that the future results, levels of activity,
performance or events and circumstances described in the forward-looking statements will be achieved or occur. Recipients are cautioned not to
place undue reliance on these forward-looking statements, which speak only as of the date such statements are made and should not be
construed as statements of fact. Except as may be required under the federal securities laws, we undertake no obligation to update these
forward-looking statements to reflect events or circumstances after the date hereof, or to reflect the occurrence of unanticipated events.​
​[This meeting is strictly confidential. By participating in this meeting, you agree to keep any information we provide confidential and not to disclose
any of the information to any other parties without our prior express written permission. Neither the information contained in this presentation, nor
any further information made available by us or any of our affiliates or employees, directors, representatives, officers, agents or advisers in
connection with this presentation will form the basis of or be construed as a contract or any other legal obligation.​]
[Certain information contained in this presentation and statements made orally during this presentation relate to or are based on studies,
publications, surveys and other data obtained from third-party sources and UiPath’s own internal estimates and research. While UiPath believes
these third-party studies, publications, surveys and other data to be reliable as of the date of this presentation, it has not independently verified,
and makes no representations as to the adequacy, fairness, accuracy or completeness of, any information obtained from third-party sources. In
addition, no independent source has evaluated the reasonableness or accuracy of UiPath’s internal estimates or research and no reliance should
be made on any information or statements made in this presentation relating to or based on such internal estimates and research.]
UiPath-SAI
Specialized AI Professional
Certification
4
An organization AI readiness is comprised of these 4
pillars:
• Security
• People
• Technology
• Processes
“Organizations don’t have to look at
AI as product if not as a strategy”
AI Training
5
UiPath Certifications
Globally recognized
New opportunities
Career path goals
6
UiPath Certifications
7
Specialized AI Professional (UiPath-SAI)
8
• Minimally Qualified Candidate
• Products and versions
• Exam Domains/Sections
• Exam Topics
• Recommended training
• Exam Details
UiPath-SAI - Exam Description
9
Minimally Qualified Candidate
An individual with the following:
• Previous certification
• Completed automation projects requiring verification and analysis of complex
communications using Communication Mining and processing of
unstructured/semistructured documents involving extensive use of Document Understanding
• Completed recommended training at UiPath Academy with extensive hands-on experience
with Document Understanding and Communication Mining
• Completed at least one project using Communication Mining
• Technically proficient and possesses the knowledge/skills to work independently
UiPath-SAI - Exam Description
10
Learning Plan Practice
Automation Developer - Specialized AI
Professional Training
• AI Center – 1 Course
• DU – 4 Course
• CM – 7 Courses
22 Hours
Communications Mining Practices
• 26 Hours
Additional Practice
• X Hours
+30 Hours
(considering previous practice and
experience)
Preparation
11
Communications Mining Training
12
AI Center & Document Understanding
13
Preparation
1. Carefully read Exam
Description
2. Complete Academy
training courses for each
product
3. Complete the Assessment
4. Include as much practice
as possible
5. Complete the Practice
Test
6. Review all your weak
points
14
• Multiple choice
• 180 minutes
• 80 questions
• 70% passing score
About the Exam
15
• Consider taking the exam onsite
• Prioritize topics you have less experience
• Focus on study then practice
• Don’t take practice test before preparation
• Breath deeply, focus and answer, take your time……there is enough
Additional Tips
16
Lots of Success!
17
UiPath Autopilot
…for Developers …for Testers …for Business Analysts …for Everyone
Build automation solutions
in a breeze
Create automations, apps, and
expressions in
UiPath Studio and Apps
Ensure your automations are
production-ready
Generate endless test cases
for your automations in
UiPath Test Suite
Discover more automations
everywhere
Find automation potential in
UiPath Process Mining &
Communications Mining
Complete everyday,
time-consuming tasks
Be more productive with
UiPath Assistant +
Clipboard AI
18
AI-powered Automation
Products
Generative AI Specialized AI
Open | Flexible | Responsible
AI Trust Layer
Context
Documents
Data
Processes
People
Communications
Action
UI
API
Human
in the Loop
19
Use AI at enterprise scale with confidence
Customer
data & apps
UiPath AI Trust Layer
PII &
Sensitive data filtering
Usage auditing
Gen AI
feature governance
LLM
gateway
No
data
retention
or
training
Third party
LLMs
UiPath
Products
Demos
Autopilot
Q & A

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UiPath Community: AI for UiPath Automation Developers

  • 2. 2 Safe Harbor​ This presentation may include forward-looking statements. Forward looking statements include all statements that are not historical facts, and in some cases, can be identified by terms such as “anticipate,” “believe,” “estimate,” “expect,” “intend,” “may,” “might,” “plan,” “project,” “will,” “would,” “should,” “could,” “can,” “predict,” “potential,” “continue,” or the negative of these terms, and similar expressions that concern our expectations, future performance, strategy, estimates of market size and opportunity, plans or intentions. By their nature, these statements are subject to numerous risks and uncertainties, including factors beyond our control, that could cause actual results, performance or achievement to differ materially and adversely from those anticipated or implied in the statements. These and other risk factors are described in the “Risk Factors” section of our Annual Report on Form 10-K filed annually with the Securities and Exchange Commission following the conclusion of our fiscal year ended January 31 as well as in our Forms 10-Q and other filings with the Securities and Exchange Commission. Although our management believes that the expectations reflected in our statements are reasonable, we cannot guarantee that the future results, levels of activity, performance or events and circumstances described in the forward-looking statements will be achieved or occur. Recipients are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date such statements are made and should not be construed as statements of fact. Except as may be required under the federal securities laws, we undertake no obligation to update these forward-looking statements to reflect events or circumstances after the date hereof, or to reflect the occurrence of unanticipated events.​ ​[This meeting is strictly confidential. By participating in this meeting, you agree to keep any information we provide confidential and not to disclose any of the information to any other parties without our prior express written permission. Neither the information contained in this presentation, nor any further information made available by us or any of our affiliates or employees, directors, representatives, officers, agents or advisers in connection with this presentation will form the basis of or be construed as a contract or any other legal obligation.​] [Certain information contained in this presentation and statements made orally during this presentation relate to or are based on studies, publications, surveys and other data obtained from third-party sources and UiPath’s own internal estimates and research. While UiPath believes these third-party studies, publications, surveys and other data to be reliable as of the date of this presentation, it has not independently verified, and makes no representations as to the adequacy, fairness, accuracy or completeness of, any information obtained from third-party sources. In addition, no independent source has evaluated the reasonableness or accuracy of UiPath’s internal estimates or research and no reliance should be made on any information or statements made in this presentation relating to or based on such internal estimates and research.]
  • 4. 4 An organization AI readiness is comprised of these 4 pillars: • Security • People • Technology • Processes “Organizations don’t have to look at AI as product if not as a strategy” AI Training
  • 5. 5 UiPath Certifications Globally recognized New opportunities Career path goals
  • 8. 8 • Minimally Qualified Candidate • Products and versions • Exam Domains/Sections • Exam Topics • Recommended training • Exam Details UiPath-SAI - Exam Description
  • 9. 9 Minimally Qualified Candidate An individual with the following: • Previous certification • Completed automation projects requiring verification and analysis of complex communications using Communication Mining and processing of unstructured/semistructured documents involving extensive use of Document Understanding • Completed recommended training at UiPath Academy with extensive hands-on experience with Document Understanding and Communication Mining • Completed at least one project using Communication Mining • Technically proficient and possesses the knowledge/skills to work independently UiPath-SAI - Exam Description
  • 10. 10 Learning Plan Practice Automation Developer - Specialized AI Professional Training • AI Center – 1 Course • DU – 4 Course • CM – 7 Courses 22 Hours Communications Mining Practices • 26 Hours Additional Practice • X Hours +30 Hours (considering previous practice and experience) Preparation
  • 12. 12 AI Center & Document Understanding
  • 13. 13 Preparation 1. Carefully read Exam Description 2. Complete Academy training courses for each product 3. Complete the Assessment 4. Include as much practice as possible 5. Complete the Practice Test 6. Review all your weak points
  • 14. 14 • Multiple choice • 180 minutes • 80 questions • 70% passing score About the Exam
  • 15. 15 • Consider taking the exam onsite • Prioritize topics you have less experience • Focus on study then practice • Don’t take practice test before preparation • Breath deeply, focus and answer, take your time……there is enough Additional Tips
  • 17. 17 UiPath Autopilot …for Developers …for Testers …for Business Analysts …for Everyone Build automation solutions in a breeze Create automations, apps, and expressions in UiPath Studio and Apps Ensure your automations are production-ready Generate endless test cases for your automations in UiPath Test Suite Discover more automations everywhere Find automation potential in UiPath Process Mining & Communications Mining Complete everyday, time-consuming tasks Be more productive with UiPath Assistant + Clipboard AI
  • 18. 18 AI-powered Automation Products Generative AI Specialized AI Open | Flexible | Responsible AI Trust Layer Context Documents Data Processes People Communications Action UI API Human in the Loop
  • 19. 19 Use AI at enterprise scale with confidence Customer data & apps UiPath AI Trust Layer PII & Sensitive data filtering Usage auditing Gen AI feature governance LLM gateway No data retention or training Third party LLMs UiPath Products
  • 21. Q & A