How are classes delivered?

Classes are delivered live through Google Meet, and some cohorts also meet in person in Boston. Each session is 60 minutes and includes instructor guidance, practical demonstrations, hands-on exercises, and time for questions.

How large are the classes?

Classes are limited to 5 students, so every student gets personal attention, direct feedback, and time to ask questions.

What happens if I miss a class?

Each class is recorded and shared privately with enrolled students. You can review the recording, course materials, and announcements in our Google Chat student space.

Do you offer payment plans or financial assistance?

A limited number of reduced-price or sponsored seats may be offered to eligible applicants. To be considered, choose “Yes, I would like to request assistance” on the application form and briefly describe your situation. Requesting assistance will not affect your application decision. For questions about payment plans, email hello@codeliq.com.

What is your refund policy?

If you decide the course isn’t right for you after your first lesson, we’ll refund your full tuition. Just email hello@codeliq.com before your second lesson.

What is the founding-cohort price for the LLM course?

The Large Language Models (LLMs) course has an introductory price of $550 (regular tuition $1,900) for its first cohort. This offer applies to the standalone LLM course only.

What happens after I apply?

We review every application and contact you by email within 1–2 business days with next steps. Please check your inbox and spam folder for messages from Codeliq.

Do you offer training for companies and teams?

Yes. We offer practical AI engineering training for teams. Email hello@codeliq.com with your team’s goals and size, and we’ll follow up with a tailored training plan.

AI Engineering Courses & Training

Live, instructor-led AI courses in Boston and online. Explore machine learning, deep learning, LLMs, generative AI, and agentic AI, then compare program topics, tuition, and duration.

Explore Courses

Codeliq Academy • AI Engineering • Machine Learning • Deep Learning • Large Language Models • Generative AI •Codeliq Academy • AI Engineering • Machine Learning • Deep Learning • Large Language Models • Generative AI •Codeliq Academy • AI Engineering • Machine Learning • Deep Learning • Large Language Models • Generative AI •Codeliq Academy • AI Engineering • Machine Learning • Deep Learning • Large Language Models • Generative AI •

University students exploring real-world AI applications

Free AI Event

AI: From Theory
to Real World

Explore how AI concepts become practical applications through real-world examples. We’ll look at how AI systems are designed and used, connect core ideas to everyday technology, and discuss how these tools are shaping the way people work and solve problems.

Free to attend. Registration required. No advanced AI experience needed. Led by Rufat Isayev, founder of Codeliq and an AI and software engineer with 14+ years of software engineering experience.

Date: Saturday, November 21, 2026
Time: 2:00–4:00 PM ET; Doors open 15 minutes early
Location: Boston Public Library; Mezzanine Conference Room 2 · 700 Boylston Street, Boston
Audience: University Students; No AI experience required

Event Details

Reserve Your Free Seat

AI Engineering Courses

Instructor-led AI engineering programs with practical, real-world projects.

Data Science Fundamentals (NumPy, Pandas, Matplotlib)

Build a strong foundation in data analysis and visualization using industry-standard Python tools.

8 weeks (16 classes)

Tuition: $2,200

Machine Learning

Learn to design, train, and evaluate machine learning models for real-world applications.

7 weeks (14 classes)

Tuition: $2,000

Deep Learning

Explore neural networks and deep learning architectures powering modern AI systems.

4 weeks (8 classes)

Tuition: $1,500

Large Language Models (LLMs)

Founding Cohort

Understand and build applications powered by modern large language models.

8 weeks (16 classes)

Founding Cohort Offer

~~Regular tuition: $1,900~~Founding-cohort tuition: $550

Generative AI

Create AI systems that generate original content across text, images, and media.

4 weeks (8 classes)

Tuition: $1,500

Agentic AI

Build autonomous AI agents that reason, plan, and execute complex tasks.

5 weeks (10 classes)

Tuition: $1,800

Core AI Engineering Program

Structured Path

A 6-month program combining Data Science Fundamentals, Machine Learning, Deep Learning, and Large Language Models into one structured path.

6 months (54 classes)

Tuition: $7,500

Advanced AI Engineering Program

Flagship Program

A 9-month program covering all six courses: Data Science Fundamentals, Machine Learning, Deep Learning, Large Language Models, Generative AI, and Agentic AI.

9 months (72 classes)

Tuition: $9,000

Learning Experience & Certificate

Learn live, build practical skills, and earn a certificate.

Codeliq Academy Certificate of Completion

Live Classes & Recordings

Join 60-minute instructor-led classes through Google Meet. Each session is recorded and shared privately with enrolled students for review. Some cohorts also meet in person in Boston.

Tools & Ongoing Support

Access course resources, announcements, and instructor support through Google Chat. Technical tools are selected based on each course and its learning objectives.

Practice & Time Commitment

Plan for approximately 4–6 hours per week, including live classes, hands-on exercises, assignments, and practical project work.

Certificate of Completion

Students who meet the attendance requirements and successfully complete the required assignments and final project receive a Codeliq Academy Certificate of Completion.

AI Engineering Programs for Students, Developers & Teams

Build Production-Ready AI Systems

Instructor-led AI engineering programs designed for real-world work—not demos. Learn machine learning fundamentals, deep learning, LLM applications, RAG, evaluation, and agentic workflows through production-style projects you can showcase. Offered live online or in Boston with small groups and practical guidance from start to deployment.

123456789101112131415161718192021222324252627282930313233343536373839404142434445from __future__ import annotations import jsonimport osimport subprocessfrom dataclasses import dataclassfrom typing import Dict, List, Tuple import requests OPENAI_URL = "https://api.openai.com/v1/responses"  @dataclassclass Task:    repo_root: str    feature_request: str    constraints: List[str]  def sh(cmd: List[str], cwd: str) -> Tuple[int, str]:    p = subprocess.run(cmd, cwd=cwd, capture_output=True, text=True)    out = (p.stdout or "") + (p.stderr or "")    return p.returncode, out.strip()  def llm_json(model: str, instructions: str, payload: Dict) -> Dict:    api_key = os.environ["OPENAI_API_KEY"]    r = requests.post(        OPENAI_URL,        headers={"Authorization": f"Bearer {api_key}"},        json={            "model": model,            "instructions": instructions,            "input": json.dumps(payload),            "text": {"format": {"type": "json_object"}},        },        timeout=60,    )    r.raise_for_status()    return json.loads(r.json().get("output_text", "{}"))  if __name__ == "__main__":    print("AI Coding Agent Ready 🚀")

Students & Career Starters

Build a strong foundation, complete guided projects, and create a portfolio that shows applied AI engineering skills.

Software Engineers

Move beyond tutorials into production patterns: data pipelines, model evaluation, LLM apps, RAG, and deployment workflows.

Companies & Teams

Upskill teams with practical training aligned to delivery: secure implementation, scalable architecture, and measurable outcomes.

Request team training

Frequently Asked Questions

Everything you need to know before joining.

Our courses are designed for students, software developers, professionals, and teams who want to build practical AI skills. Requirements vary by course. Not sure which course fits your background? Email hello@codeliq.com and we’ll help you choose.

AI Engineering Courses & Training

AI: From Theoryto Real World

AI Engineering Courses

Data Science Fundamentals (NumPy, Pandas, Matplotlib)

Machine Learning

Deep Learning

Large Language Models (LLMs)

Generative AI

Agentic AI

Core AI Engineering Program

Advanced AI Engineering Program

Learning Experience & Certificate

Live Classes & Recordings

Tools & Ongoing Support

Practice & Time Commitment

Certificate of Completion

AI Engineering Programs for Students, Developers & Teams

Students & Career Starters

Software Engineers

Companies & Teams

Frequently Asked Questions

01Who can join Codeliq Academy?

02How are classes delivered?

03How large are the classes?

04What happens if I miss a class?

05How much time should I plan each week?

06Will I receive a certificate?

07Do you offer payment plans or financial assistance?

08What is your refund policy?

09What is the founding-cohort price for the LLM course?

10What happens after I apply?

11Do you offer training for companies and teams?

AI: From Theory
to Real World