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Intensive Training

10 Academy's Intensive Training is a full-time, high-impact program designed to launch early-career professionals into global AI and data careers. Below is a breakdown of what makes this program uniquely powerful.

10 Academy's Intensive Training is a full-time, high-impact program designed to launch early-career professionals into global AI and data careers. Below is a breakdown of what makes this program uniquely powerful.

Overview

What is 10 Academy's Intensive Training?

This is a six-month, project-based program designed to get ambitious people into global AI and data roles fast. Trainees build real-world experience, working on challenges from industry while being supported by expert mentors. With a 95% job placement success rate, it's one of the most effective ways to transition into high-paying, high-impact tech jobs.

Program Duration & Intensity

  • 6 months full-time (60+ hours/week)
  • Immersive, community-driven learning environment
  • Real-world challenges from start to finish

Skills & Tools

Technology Areas Covered

  • Generative AI Engineer: Build and deploy LLM/GPT-based systems
  • Machine Learning Engineer: Create end-to-end ML systems and algorithms
  • Data Engineer: Develop data pipelines, warehouses, and infrastructure

Key Tools, Platforms & Frameworks

Area

Tools

Platforms

Frameworks

Machine Learning

Python, Scikit-learn, PyTorch

AWS, GCP, Azure

TensorFlow, Keras

Data Engineering

SQL, Python, Apache Spark

Redshift, Snowflake, BigQuery

Airflow, dbt, Kafka

GenAI

Python, MCP, JS

OpenAI, Anthropic, Google, Meta, DeepSeek

Langchain, LlamaIndex

Competencies

Career Competencies

  • Cross-cultural communication
  • Team collaboration in remote environments
  • Resume building, interviewing, job readiness

Technical Competencies

  • Generative AI & Prompt Engineering
  • Deep Learning & ML model development
  • Data analytics, MLOps & AutoML
  • Python & SQL programming
  • Software Dev practices (CI/CD, DevOps, Docker)

Domains Explored

  • Artificial Intelligence : Fundamentals, neural networks, intelligent systems
  • Machine Learning : Data prep, model evaluation, feature engineering
  • Data Engineering : ETL, big data tools, database management

Prerequisites

Skill Level

Description

Python (Recommended)

Variables, control flow, functions, OOP, file handling

Python (Advanced)

*args/**kwargs, async IO, generators, RegEx

SQL (Recommended)

Joins, where clauses, table creation

SQL (Advanced)

Indexes, subqueries, constraints, CTEs, views, transactions

Project-Based Learning

Work on end-to-end projects that mimic professional challenges. Each project builds technical skills, communication, problem-solving, and includes:

  • Coding & documentation
  • Self-directed learning
  • Portfolio-ready results

Supported Job Phase

After training, we support your job hunt with:

  • AI-generated CVs & cover letters
  • Smart job matching
  • Mock interviews & skill tracking
  • Group accountability sessions (35 hrs/week)

Career Outcomes

Typical roles:

  • Generative AI Engineer
  • ML Engineer
  • Data Engineer

Results:

  • 95% placement rate
  • 5x salary growth in 3 years

Pricing

Included in Training

  • 12+ industry-style technical challenges with feedback
  • 24+ career challenges
  • 200+ hours tutor support
  • 720+ hours global-level project work
  • 120–180 hours with real OpenAI tools
  • 18 guest talks, 60 daily standups & community events
  • 12-week job search phase (600+ job applications)
  • Certificate of graduation

Additional Costs: Trainees should budget for internet, laptop, workspace, and living expenses.

Contact

For any questions or inquiries, please contact the cohort manager via email at rodas@10academy.com.

Payment Options

Option 1: Deferred Tuition

  • $500 deposit
  • Pay-It-Forward (PIF) obligation after employment
  • Includes quiz, week 0 simulation, interview as part of the assessment process

Option 2: Full Tuition (Upfront)

  • $2000 total; $1800 if paid upfront
  • Secure your spot with $500 or 25% deposit (considering you’re a fit for the program, check prerequisites below)
  • Bonus lecture for parents/financial supporters

Country

Total Fee

Upfront (Discounted)

Deferred Deposit

PIF Contribution

All

$2000

$1800

$500

$1500

Program Content

Challenge Breakdown (Each = 6 days / 60+ hours)

Content Area

Number of Challenges

Career Skills

10 - 12

Generative AI

3 - 4

Machine Learning

2 - 3

Data Engineering

2

Sample Challenges

Career Readiness

  • Improve communication, decision-making, adaptability
  • Use design thinking and solve real workplace scenarios

Machine Learning

  • Analyze telecom data (Jupyter, slides)
  • Run A/B tests using ML
  • Predict sales & build a web interface

Generative AI

  • Use LLMs to analyze job descriptions
  • Compare prompt engineering vs embedding-based ML pipelines

Data Engineering

  • Build a full-stack data warehouse with MySQL, DBT, Airflow, Spark
  • Speech-to-text pipeline using Kafka, Spark, and S3

FAQ

Basic understanding of statistics.

Basic understanding of statistics is important for data science because it provides the tools and methods to clean, analyze, and interpret data to extract valuable insights. Data scientists use statistics to build predictive models, test hypotheses, and communicate findings.

Learning the basics of Python and SQL is crucial for your success in this training. Python concepts, such as variables, loops, conditionals, and functions, will enable you to write efficient code.

Similarly, understanding SQL concepts like table creation, querying, and filtering is essential for working with databases effectively. Mastering these fundamental concepts will lay a strong foundation for your learning journey.

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