Data, Advanced Analytics & AI/BI | Telerik Academy Upskill
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Telerik Academy Upskill

Master data, advanced analytics and AI/BI for business growth

Overview

Level up your BI career and embrace AI with confidence.

BI is changing fast, with AI, ML, and real-time analytics leading the way. To stay ahead, you need both technical and strategic skills to handle complex data, stay secure, and deliver actionable insights.

Whether you are a business/data analyst, data scientist or a software engineer, with this program you'll:

  • Master data lifecycle management: Learn how to build scalable, high-quality data ecosystems that support business growth.
  • Own the data pipeline: Design, build, and manage data pipelines from start to finish, gaining the skills to tackle complex solutions independently.
  • Turn data into business impact:Connect business problems to analytical and technological solutions to drive results.
  • Navigate the AI & BI wave:Build a strong foundation in AI-powered BI to stay ahead in a rapidly evolving industry.
  • Leverage agentic AI to automate data tasks, improving productivity and decision-making.
Program duration

3 months. Combine the program with your job.

Lectures

Mondays and Wednesdays (6:30-9:30 pm). Start: May 12; End: Aug 15, 2025

Commitment

6+ hrs/week plus self-prep time. 2 weeks of vacation

Format

Lectures will be held online. Onsite networking events (optional)

Language

Bulgarian

Early bird price

BGN 4465 BGN 4700

Have any questions?

Ask our experts for valuable insights about the program. Submit your question!

Upskill Data & AI/BI snapshot 

Program core areas

Data Management

01-strategy-icon

Data Architecture & Modeling

02-product-management-icon

Data Governance & Quality

03-marketing-management-icon

Data Platforms & Pipelines

Advanced Analytics

05-finance-icon

KPI Frameworks & Decision-making

06-data-analysis-icon

Descriptive Analysis & Storytelling

07-human-resources-icon

Diagnostic Analysis & BPA

08-stakeholder-relations-icon

Predictive Analytics & Prescriptive Analytics

AI Engineering for Data

09-leadership-icon

AI Foundations

01-strategy-icon

AI-driven BI

07-human-resources-icon

Agentic AI

Why go for Upskill Data & AI/BI:
  • All you need in a single BI training: Foundations, Advanced Analytics and AI/ML
  • A clear path to mastering BI technology advancements and succeeding in the data-driven economy
  • Top Bulgarian data experts as trainers
  • Real-time requirements gathering simulation, followed by presentations to senior business leaders
  • Job-ready skills with hands-on projects and industry-specific case studies
  • A strong network for lasting relationships and future collaborations

Level: Advanced

Who is it for?

alpha-java-inner-3alpha-java-inner-4-2
Data analysts

If you have 1-5 years of experience analyzing data for business insights, this program will sharpen your technical skills, advance your analytics expertise, and help you master modern BI tools—preparing you for greater responsibility in data-driven decision-making.

Data scientists

If you have 2-5 years in stats and ML, this program enhances your BI skills with real-time data, cloud tools, and advanced visualization. Master end-to-end BI, data storytelling, and AI-driven solutions to bridge tech and business needs. Build a strong foundation for AI and agentic AI.

Business analysts

If you have 3-5 years of experience in process improvement and business analysis, this program will help you master BI tools, self-service analytics, KPI tracking, and data storytelling—empowering you to lead strategic initiatives.

Software engineers

If you have 2-5 years in software or database development and want to move into BI, this program will help you master ETL, data modeling, cloud BI solutions, and real-time processing. Gain the skills to build and manage BI platforms and integrate AI with enterprise data.

Celebrate our 15th birthday with 15% off!

Apply by the end of November and enjoy a 15% discount on any program.
How to apply?
  1. Complete your application by November 13.
  2. Enter code HAPPYBDAY15 in the promo code field before submitting your application.
  3. If you’re admitted, the 15% discount will automatically apply to your tuition fee.
Is this promo for me?
  • Available ONLY for applications completed in November (even if you started earlier).
  • Only for individual learners, not companies.
  • Payment must be completed before the program begins.

What you'll learn:

  • Use industry-standard frameworks for data architecture, modeling, governance, and quality.
  • Build efficient end-to-end data pipelines.
  • Design KPI frameworks to drive self-service analytics.
  • Create high-performance, user-friendly dashboards.
  • Use advanced techniques for data-driven decision-making.
  • Understand key machine learning algorithms and when to use them.
  • Dive into deep learning, its applications and composite AI systems, including generative AI, AI BI and agentic AI.
Your team

Training team

Gain access to and learn from Bulgaria’s most experienced data experts.

Lead
trainer

Svetla Yankova
Svetla Yankova
Data and Analytics Leader
Contributed to the success of:
KPMG, Telerik, Progress
Svetla is finalizing her Executive Diploma in AI for Business from Said Business School, University of Oxford and is pursuing a MSc in Artificial Intelligence from the University of Bath. She combines a strong background in computer science, economics, and AI with extensive experience in data and analytics. Starting as a Financial Auditor at KPMG, she later joined Telerik (now Progress Software). She has driven enterprise-wide data strategy, redesigned data platforms for AI and self-service, and established a hub-and-spoke data model, impacting 2000+ internal users and supporting over $600M in revenue.  

 

Guest
lecturers

Ivan Ivanov
Ivan Ivanov
Head of Controlling Analytics & BI Solutions, DSK Bank
Contributed to the success of:
Progress Software, S Management, Siemens, Lufthansa Technik
Ivan is a business intelligence and data professional with over 7 years of experience in the field. In his current role he oversees financial and regulatory reporting, with a strong focus on data quality and integrity, and strategic decision-making support. As a data leader, Ivan is passionate about building and nurturing high-performing teams that consistently deliver value through impactful BI solutions.
Maria Tileva
Maria Tileva, PhD
Senior Manager Business Intelligence, Progress Software
Contributed to the success of:
Progress, Danone, IBM
Maria Tileva is a data analytics leader with over 10 years of experience in the data domain. She specializes in bridging the gap between technical data teams and business stakeholders, transforming complex data insights into actionable business strategies. Her expertise lies in facilitating data-driven decision-making by effectively translating stakeholder requirements into analytical solutions while ensuring alignment between business objectives and data capabilities.
Vasil Petkov
Vasil Petkov
Director, BI & Revenue Systems, Payhawk
Vasil is a data and business process specialist with over a decade of experience in the field. He is currently responsible for Payhawk's business intelligence and revenue systems. He previously had experience at companies such as Telerik & Progress.
Ivan Danielov
Ivan Danielov
CTO, Ethermind
Contributed to the success of:
Ethermind, SoftServe, Progress
Data scientist with over nine years of professional experience. Delivered machine learning projects across education, manufacturing, and retail. Currently leading the development of the Ethermind platform, which provides AI agents for education. Previously gained experience at SoftServe and Progress.
Paulina Tsolova
Paulina Tsolova
VP of Demand Generation, Progress
Paulina Tsolova is a senior marketing leader at Progress, passionate about building and delivering on a marketing strategy that finds the right prospects, at the right time, with the right message. Her expertise is in the B2B software industry, covering inbound, outbound and product-lead go-to-market motions.
Aleksander Aleksiev
Aleksander Aleksiev
Data Platform Manager, Progress
Contributed to the success of:
Progress, Mansion LTD, DXC Technology
Aleks has a decade of experience in data engineering and data warehousing. He excels in enabling others through technology, innovation, and mentorship. Bringing a practical, hands-on approach to bridge theory with real-world application and empowering learners to build skills that drive real impact.

Got any questions about the program?





Connect to the expert trainers for insights and information about the Data & AI/BI program.

Curriculum

Carefully crafted curriculum

Drawing on the expertise of Bulgaria’s top data experts, this curriculum is designed to advance your skills in BI foundations, advanced analytics and AI/ML.

  • 01Weeks 1-3
  • 02Weeks 4-6
  • 03Weeks 7-10
  • 04Weeks 11-12
  • 05Weeks 13-14

Foundations & Data management

Introduction to business intelligence & data management

  • Introduction to Business Intelligence (BI): past, present, and future.
  • Understanding the role and required skill set for data professionals.
  • Exploring self-service BI and fostering a data-driven culture.
  • The impact of AI and automation in BI and data analytics.
  • Introduction to data management: Goals, importance, and the DMBOK framework.

Data architecture & Modeling

  • Fundamentals of data architecture and platform modules.
  • Data integrations and migrations across different environments.
  • Data modeling techniques and business analysis.
  • Understanding data structures and their application in modeling.

Data governance, quality & pipelines

Data governance & Compliance

  • Overview of data governance and its importance in analytics.
  • Security & compliance frameworks (ISO 27001, zero-trust policy, GDPR, EU AI Act).
  • Implementing policies and monitoring mechanisms.

Data Quality

  • Importance of data quality.
  • Data quality dimensions.
  • Monitoring data through DQ indicators, controls, and substantive tests.

Data platforms and pipelines

  • Data ingestion workflow for batch, streaming or micro-batch intakes.
  • Transformation, storage & processing: warehouses, data lakes, lakehouses, cloud vs on-premise.
  • Implementing semantic layers for self-service.
  • Building a data pipeline: Hands-on enterprise reporting case study.

Vacation week

  • One week free of classes for practice and reinforcement.

Business understanding, analysis & decision-making

Understanding the business

  • KPI frameworks and guest lectures from various industries:
    • Finance, GTM, DevOps, and Customer Support.
  • Decision-making workshop with business leaders:
    • Role-playing exercises to understand business needs and decision-making processes.

Descriptive analysis & data storytelling

  • Dashboard design to create user-friendly reporting assets and manage real-time performance.
  • Data storytelling to communicate insights to business stakeholders.

Diagnostic analysis & business process automation (BPA)

  • Diagnostic analytics to identify root causes, utilizing hypothesis testing while controlling bias.
  • Business process analysis (BPA) to map, analyze and improve data and business processes.

Driving action: predictive & prescriptive analytics

  • Predictive analytics:
    • Introduction to Machine Learning (ML) - algorithms and their use cases.
    • Designing data for predictions.
    • ML Ops – managing the lifecycle of predictive models.
  • Prescriptive Analytics:
    • Decision science and strategic advisory.
    • Introduction to Game Theory, economics & econometrics.
    • Causal modeling and interventions.
  • Vacation week

    • Another week free for deeper exploration and practice.

AI in Business Intelligence

AI foundations

  • The past, present, and future of AI in analytics.
  • Deep learning fundamentals: NNs, RNNs, CNNs, transformer architectures.
  • Introduction to generative AI.
  • Exploring reinforcement learning & Graph ML.

AI in Business Intelligence (AI BI)

  • Overview of AI BI and its impact.
  • Deep dive into emerging enterprise solutions for prompt dashboard generation and analytics from Snowflake, Databricks, Microsoft, Salesforce.
  • Explore upcoming technologies for AI data analysts, code generation, data workflow management and more.
  • Hands-on walkthrough of AI BI tools and techniques.

AI agents, orchestration & final project

AI agents & Orchestration

  • Understanding agentic AI – what it can achieve and what are the limitations.
  • Exploring core concepts and technologies behind AI-driven orchestration.
  • Hands-on orchestration walkthrough: implementing AI automation in analytics.

Final project

  • Apply everything learned to a real-world data analytics project.
  • End-to-end development: from data ingestion to business impact.
  • Presentation of findings to peers and instructors, simulating a realistic business scenario.

Graduation

Congratulations! You’ve successfully completed the Upskill Data & AI/BI program.

You will receive a Telerik Academy certificate – widely recognized by employers in Bulgaria.

Timeline

  • feb
  • mar
  • apr
  • may
  • Feb 5 - Feb 28 | Early bird application discount
  • Feb 5 - Apr 20 | Submit application form and CV
  • May 12 - Aug 15| Study at Telerik Academy Upskill
Important dates
  • Feb 5 - Apr 20 | Submit application form
  • Feb 5 - Feb 28 | Early bird application discount
  • May 12 - Aug 15 | Study at Telerik Academy Upskill

Tuition fees

Pay in installments*

- BGN 235

Regular price BGN 211/mo

BGN 200/mo

Early bird price by Feb 28*

Apply now

Pay over 24 months with a bank partner**

Pay in full

-235 BGN

Regular price BGN 4700

BGN 4,465

Early bird price by Feb 28*

Apply now

Terms tailored
to your needs

  • *Early Bird Price: Complete your full application by February 28 with code EB5, and you will get a special Early Bird discount (5%) from your tuition, applicable if you choose monthly payments or full upfront payment.
  • Tuition fee can be paid by either You or Your Employer upfront.
  • **Opportunity to pay in installments with a loan from a bank, partner of Telerik Academy - Allianz, ProCredit Bank or TBI Bank.
  • Deferred payment over 12-24 months’ period.
  • Candidates working in the NGO sector can apply for a 90% discount off the tuition fee (two per cohort).
  • Drop-out with no consequences up to 2 weeks of the program start.

*Illustrative installment payment method. Different terms may apply based on borrowers’ credit score and creditworthiness as well as the bank’s current offering.

Data science career path

Interested in a career in data, but feel like Upskill Data & AI/BI is a bit further down the road? No worries - here’s the perfect place to start:

FAQ

What will I learn at Telerik Academy Upskill Data & AI/BI program?

By the end of the program, you'll learn to build scalable, high-quality data ecosystems, design and manage data pipelines end-to-end, and connect business problems with analytical and technological solutions to drive significant business impact. The program also focuses on building a strong foundation in AI-powered Business Intelligence (BI) and leveraging agentic AI to automate data tasks, thereby boosting productivity and decision-making in a fast-evolving industry.

Who can apply and how?

This program is designed for professionals like business/data analysts, data scientists, and software engineers, aiming to enhance their expertise in managing data lifecycles and pipelines.

To enroll, you must be 18 years or older and have professional experience.

The admission process includes the following steps:

  • Application form submission
  • Entry test
  • Interview (upon request)
Do I need any previous experience?

We highly recommend having at least 1 year of prior experience to maximize the benefits of this program.

Can I choose between online and onsite training?

The program will be held online. Please note that attendance is key to our students’ successful graduation. Participants must attend all classes. Up to 3 days of absence are allowed, plus the program has 2 vacations (3 weeks in total).

How much does the training cost and what are the payment methods?

The tuition fee for Telerik Academy Upskill Data & AI/BI is BGN 4,700. This fee can be covered by you or your employer. Payment is due no later than one business day before the start of the program. If your employer is covering the tuition fee, payment is due within 5 business days after the contract is signed.

Alternatively, you can opt to pay in installments with a loan from a bank, partner of Telerik Academy. You can benefit from a deferred payment over a 12 - 24-month period.

What is the candidate selection process?

We use a holistic review process when evaluating applicants for admission. The final selection of candidates is not based on a simple formula of grades and test score. Instead, we consider a variety of factors: application documents, entry test results, and personal motivation for applying.

Some candidates might also be invited to attend an interview. Interviews focus on candidates’ motivation and aspirations and determine if the program is appropriate for each candidate based on their needs, expectations and experience.

What is the length/cadence of the program? Can I balance it with work?

You can certainly combine Upskill Data & AI/BI with your job. To get the most out of the program, you’ll need to immerse yourself in it for 3 months. To recharge your batteries, you’ll have 2 weeks of vacation.

What does “two-week trial period” mean?

If you drop out of the program within the trial period, which is in the first 2 weeks of the program, you won't pay any tuition fee.

Does Telerik Academy help alumni find new jobs after successful graduation?

The skills and experience you gain will help you excel in your career and/or find a new job, just like it helped our alumni reach their career goals.

How can I apply for the discounted tuition fee for candidates working in the NGO (Not- for-profit) sector? Are there any special terms that apply?

Candidates working in the NGO sector are eligible to apply for a 90% discount off the regular program pricing. There are two seats available per cohort. To apply, candidates must submit their application through our website and meet the specific requirements for selection, which may include an entrance test or an interview.

If selected, the candidate's employer will be required to sign a contract with Telerik Academy and cover 10% of the regular tuition fee. Please note that the selection process evaluates the candidate’s profile, not the NGO’s.

Have other questions?

Drop us a line and we'll get back to you shortly.

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