Machine Learning for the GenAI Era

Machine Learning for the GenAI Era

Master the tools of the GenAI era. Build and fine-tune LLMs, engineer prompts, and deploy real AI agents using Python, Hugging Face, LangChain, and TRL. Complete 10 hands-on projects with FAANG mentorship and GPU-backed infrastructure.

Michael Barnathan - FAANG Machine Learning Engineer with 15+ years of experience

Advanced

Featured

Requirements

• A computer or laptop with internet access
• Understanding of Python
• Willingness to learn by doing — this is a project-first program

What to expect from this course

AI is transforming every industry — and employers want talent that can build with it.

Inference.ai’s Machine Learning Mentorship Program is designed for students and early-career engineers who want to move beyond theory and start building real-world AI systems.

You'll gain hands-on skills in generative AI, machine learning engineering, prompt engineering, data pipelines, and agent workflows — all taught by experienced FAANG engineers. Through 10 intensive projects, live mentorship, and career coaching, you’ll leave with portfolio-ready work, stronger technical confidence, and the practical know-how companies demand today.

The Curriculum

Module 1: Introduction to Large Language Models (LLMs) and Prompt Engineering

Module 2: LLM Training Phases and Data Requirements

Module 3: Pre-training Data Collection and Extraction

Module 4: Retrieval-Augmented Generation (RAG)

Module 5: Supervised Fine-Tuning (SFT) - Part I

Module 6: Supervised Fine-Tuning (SFT) - Part II

Module 7: Alignment Techniques for LLMs

Module 8: Hallucination, Jailbreak, and Ethical Considerations

Module 9 : Voice Agents & Multimodal Interfaces

Module 10 : AI Agent: Agentic Systems & Workflow Automation

Module 1: Introduction to Large Language Models (LLMs) and Prompt Engineering

Module 2: LLM Training Phases and Data Requirements

Module 3: Pre-training Data Collection and Extraction

Module 4: Retrieval-Augmented Generation (RAG)

Module 5: Supervised Fine-Tuning (SFT) - Part I

Module 6: Supervised Fine-Tuning (SFT) - Part II

Module 7: Alignment Techniques for LLMs

Module 8: Hallucination, Jailbreak, and Ethical Considerations

Module 9 : Voice Agents & Multimodal Interfaces

Module 10 : AI Agent: Agentic Systems & Workflow Automation

Module 1: Introduction to Large Language Models (LLMs) and Prompt Engineering

Module 2: LLM Training Phases and Data Requirements

Module 3: Pre-training Data Collection and Extraction

Module 4: Retrieval-Augmented Generation (RAG)

Module 5: Supervised Fine-Tuning (SFT) - Part I

Module 6: Supervised Fine-Tuning (SFT) - Part II

Module 7: Alignment Techniques for LLMs

Module 8: Hallucination, Jailbreak, and Ethical Considerations

Module 9 : Voice Agents & Multimodal Interfaces

Module 10 : AI Agent: Agentic Systems & Workflow Automation

Launch Your ML Career —

with Generative AI Projects That Get You Hired

The next wave of AI jobs isn’t just about knowing the theory — it’s about building agents, pipelines, and systems that work in production. This program gets you there

$

4999

This Course Includes:

  • 10 Hands-On MLE Lessons

  • 20+ Hours of AI Course Content

  • 40+ Hours of Career-focused Mentorship

  • 10 Real-World AI Exercises & Projects

  • Dozens of Direct Referral opportunities

  • 500+ Hand-Picked AI/MLE Jobs Posted Daily

  • Certificate of Completion for Your Resume

Featured Topics

Courses Topics

Explore the key topics covered in our courses, designed to equip you with the skills needed for real-world success.

Artifical Intelligence

Prompt Engineering

Machine Learning

Featured Topics

Courses Topics

Explore the key topics covered in our courses, designed to equip you with the skills needed for real-world success.

Artifical Intelligence

Prompt Engineering

Machine Learning

Featured Topics

Courses Topics

Explore the key topics covered in our courses, designed to equip you with the skills needed for real-world success.

Artifical Intelligence

Prompt Engineering

Machine Learning