Students & Career Starters
Build a strong foundation, complete guided projects, and create a portfolio that shows applied AI engineering skills.
AI Engineering Courses & Training
Instructor-led AI engineering programs in Boston and live online. Learn Machine Learning, Deep Learning, LLMs, Generative AI, and Agentic AI through hands-on, real-world projects.
Codeliq Academy offers AI engineering courses covering data science, machine learning, deep learning, large language models, and generative AI.
AI Engineering Courses
Instructor-led AI engineering programs with practical, real-world projects.
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.
agent/ai_coder.py
python
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.
Learning Experience & Certificate
Learn live, build practical skills, and earn a certificate.
01
Live Classes & Recordings
Join 60-minute instructor-led classes through Google Meet. Each session is recorded and shared privately with enrolled students for review.
02
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.
03
Practice & Time Commitment
Plan for approximately 4–6 hours per week, including live classes, hands-on exercises, assignments, and practical project work.
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. Prerequisites vary by course and are listed in the course details.