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PHONE HOTLINE: +60162605929E-MAIL: c.krueger@dtelligent.comn
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PHONE HOTLINE: +60162605929E-MAIL: c.krueger@dtelligent.comn
Book Discovery Call
The Data & AI Academy

The Data & AI Academy

Uzbekistan plans to train one million AI specialists. Almost none of that training currently ends in a job. Ours does — every track has a placement route attached before the first cohort starts.

Apply to a cohort
Hire our graduates
Training and Enablement for Key Data Personas for every Organisation

Enablement by Persona

Data Analyst

10 weeks · Entry track

SQL, dimensional modelling, warehousing, BI and governance, taught across Microsoft Fabric, AWS Redshift and Databricks SQL.

Where graduates go: internal analytics teams at banks, telcos and retailers.

Who it’s for: analysts, finance and operations people who already work with data and want to build it properly.

Data Analyst track illustration

Data Engineer

16 weeks · Core track

Lakehouse architecture, batch and streaming pipelines, orchestration and cost tuning on Azure, AWS and Databricks, on open-source Spark and open table formats.

Where graduates go: our own delivery bench, certified integration partners, and European contract placement. Highest-volume track.

Who it’s for: software engineers and IT staff moving into data platform work.

Data Engineer track illustration

Data Scientist / ML Engineer

20 weeks · Advanced track

Feature engineering, model training and serving, forecasting and risk modelling, applied GenAI with Anthropic and OpenAI alongside open-weight models.

Where graduates go: forecasting, pricing and risk functions, and the highest-value international placements. Smallest cohorts, best outcomes.

Who it’s for: analysts and engineers with a quantitative background.

Data Scientist & ML Engineer track illustration
Intro Title

How the academy is built

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Blended learning
Blended

Self-paced online modules, live virtual labs and on-site cohorts. Reaches Tashkent, the regions and remote learners without becoming three separate products.

Multi-vendor tech
Multi-vendor by design

Taught and certified across Microsoft, AWS, Databricks, Anthropic and OpenAI on open-source foundations. A graduate is employable on whatever stack the employer already runs.

Productised curriculum
Productised

Curriculum, assessment and certification are standardised, so cohort volume grows without adding faculty one for one.

Intro Title

From application to employment

We train above our own absorption rate deliberately. The bench takes what it needs; the surplus becomes placement revenue and, over time, the diaspora network that brings contracts back.

  • Stage 1 - Intake and screening

    Applications come through university partners, IT Park programmes and open enrolment. We screen for aptitude and commitment, not for an existing CV.

  • Stage 2 - Cohort training

    Ten to twenty weeks depending on track. Live instruction, labs, and project work on real datasets rather than tutorial data.

  • Stage 3 - Certification

    A portable, vendor-neutral standard. Employers can verify what a graduate can actually do, which is the part general training programmes never solve.

  • Stage 4 - Live project work

    Graduates join the delivery bench on real customer engagements under senior architects. This is where training becomes experience.

  • Stage 5 - Placement

    Four routes, all paid: permanent placement with end customers, contracted delivery with consultancies, international contract work at export rates, and relocation support for engineers moving to Europe.
Intro Title

Who hires our graduates

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Banks and payment institutions  
Telecom operators  
Retail and e-commerce  
Industrial and state enterprises  
Regional consultancies and system integrators  
European clients contracting remote delivery  
PARTNERS

Certified & Multivendor by Design

Our curriculum, labs, and certification tracks are built and taught across the industry's leading Data and AI platforms.

For employers

Hire on the open market
Hire a certified graduate
RECOMMENDED
Time to fill
4–9 months, often unfilled
Weeks, from a known cohort
Skill verification
CV and interview
Assessed against a published standard
Stack coverage
Whatever the last job used
Certified across Azure, AWS, Databricks, Snowflake and open source
Ramp time
Months on your architecture
Trained on the reference architecture we deploy
Retention risk
High — competitive poaching
Continued access to training keeps engineers current
Talk to us about hiring
Intro Title

FAQ

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Do I need a computer science degree?

No. The Analyst track assumes numeracy and comfort with data, not a degree. The Engineer and ML tracks assume programming experience.
What language is instruction in?

English, with Uzbek and Russian support in labs. Technical English is part of the curriculum, because it is part of the job.
Is there a job guarantee?

No, and be sceptical of anyone offering one. What we guarantee is that every track has defined placement routes and that we place from our own cohorts first.
Can my employer sponsor me?

Yes. Employer-sponsored seats and full cohort programmes run onsite for banks and enterprise teams.
What does it cost?

Pricing varies by track and by whether you’re sponsored. [Confirm before publishing.]