Rationale
The AI track gives you the modeling depth to build systems that perceive, reason, and act. It covers the major modern paradigms: large language models and agents, temporal and sequential decision-making, computer vision, scalable big-data learning, generative models, and embodied AI for robotics, all grounded in the engineering needed to deploy them in production.
Core courses · Semester 1 A1 to A4
A1
Language AI: LLMs and Agentic Systemsבינת שפה: מודלי שפה גדולים ומערכות סוכניותBuild applications on large language models and autonomous agents, covering prompting, tool use, retrieval, and orchestration of multi-step reasoning.
AI1
A2
Temporal AI: Time Series & Sequential Decision MakingAI טמפורלי: סדרות עתיות וקבלת החלטות רציפהModel data that unfolds over time and learn to make sequential decisions under uncertainty.
AI2
A3
Vision AI: Deep Learning for Computer Visionבינת ראייה: למידה עמוקה לראייה ממוחשבתApply deep learning to images and video for recognition, detection, and segmentation tasks.
AI3
A4
Scalable AI: Big-Data AlgorithmsAI בקנה מידה: אלגוריתמים לנתוני עתקLearn algorithms and systems for machine learning at scale, where datasets and models exceed a single machine.
AI4
Core courses · Semester 2 B1 to B4
B1
Engineering of AI Systemsהנדסת מערכות בינה מלאכותיתApply DevOps discipline to machine-learning and LLM systems, automating training, deployment, monitoring, and continuous delivery of models in production.
SE5
B2
Design of AI-based & Data-Intensive Systemsתכן מערכות מבוססות-AI ועתירות-נתוניםArchitect large systems whose core is data and machine learning, balancing throughput, latency, consistency, and the demands of AI workloads.
SE7
B3
Generative AI: Deep Generative ModelsAI יוצר: מודלים גנרטיביים עמוקיםStudy the models that generate images, text, and audio, from diffusion models to GANs and autoregressive generators.
AI5
B4
Embodied AI: Robotics & Autonomous Systemsבינה מלאכותית פיזית: רובוטיקה ומערכות אוטונומיותBring AI into the physical world through perception, planning, and control for robots and autonomous systems.
AI6
Careers & outcomes
This concentration prepares you for these roles. Open the careers page for full profiles, responsibilities, and required skills.
ML / AI Engineerמהנדס למידת מכונה ובינה מלאכותיתFull profile →MLOps Engineerמהנדס MLOpsFull profile →Algorithm Engineerמהנדס אלגוריתמיםFull profile →Data Scientistמדען נתוניםFull profile →NLP Engineerמהנדס עיבוד שפה טבעיתFull profile →Computer Vision Engineerמהנדס ראייה ממוחשבתFull profile →
Example employers
NvidiaGoogleMicrosoftIntelMobileyeLightricksAmazonAI21 LabsAmazon Web ServicesJFrogNVIDIAQualcomm