Enterprise AI Specialist Trainee
About the Role:
We are looking for passionate individuals aiming to build a rewarding career in Enterprise Artificial Intelligence (AI). Candidates selected for this program will undergo comprehensive training in cutting-edge AI technologies and will later be placed in significant AI projects for major global enterprises.
Your Accelerated Career Path:
Initial Training (Month 1): Virtual instructor-led training covering:
Language Models (Large and Small)
Understanding Enterprise AI
Reasoning and Prompt Engineering
Enterprise AI Applications (NLP, NER, RAG, NLP-to-SQL)
AI Agents (Digital Twins)
AI Agent Orchestration
Practical Training (Months 2 to 4):
Real-time project experience under professional mentorship
Hands-on application of your AI skills in real-world enterprise scenarios
Placement:
Candidates selected for this program will be evaluated and placed into permanent roles, either within internal product teams or external client projects for Fortune 500 companies.
Enterprise AI Bootcamp Curriculum:
AI 101: Introduction to Artificial Intelligence (3 Credits, Corresponding US Course: CS 101, Introduction to AI). Fundamental AI concepts and distinctions between general AI and enterprise-specific AI.
AI 201: Natural Language Processing and Language Models (3 Credits, Corresponding US Course: CS 220, Natural Language Processing). NLP methods and applications, skills to implement NLP-driven solutions.
AI 210: Human AI Interaction and Prompt Engineering (3 Credits, Corresponding US Course: IT 240, Human Computer Interaction). Prompt engineering techniques for optimal user-AI interactions.
AI 220: Applied Data Analytics for Enterprise (3 Credits, Corresponding US Course: DS 310, Applied Data Analytics). Analytics methods essential for enterprise AI including NLP, NER, RAG, and NLP-to-SQL.
AI 301: Intelligent Systems AI Agents (3 Credits, Corresponding US Course: CS 340, Intelligent Systems). Designing and deploying AI agents for complex enterprise tasks using frameworks like LanGraph and LangChain.
AI 302: Digital Twins (Human Digital Twins - HDTs) (3 Credits, Corresponding US Course: CS 342, Digital Twin Systems). HDT systems for modeling human behavior and improving workflows.
AI 310: Capstone Practicum in Enterprise AI (3 Credits, Corresponding US Course: CS 400, AI Capstone Project). Comprehensive development and implementation of enterprise AI projects.
Upon successful completion, participants receive a Certificate in Enterprise AI, officially recognizing specialized skills and readiness for enterprise AI roles.
Total Credits: 21 (Equivalent to one full semester of U.S. university coursework)
Candidate Requirements:
Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, or related fields
Minimum of 18 months professional experience (including internships)
Basic knowledge of SQL or Python
Familiarity with cloud platforms (AWS, Azure, or GCP)
Understanding NLP concepts
Exposure to AI Agent concepts or Digital Twins
Reasoning and effective communication in technical contexts
Comfortable with weekend virtual training sessions
Cloud Infrastructure Requirement:
Candidates are required to have their own enterprise-grade cloud environment (Azure or AWS) for training and practice.
Azure Environment Essentials:
Azure OpenAI Service, Azure Cognitive Services, Azure Functions, Azure Kubernetes Service (AKS), Azure Storage (Blob and Data Lake), Azure SQL Database or PostgreSQL, Azure Monitor and Application Insights, Azure Logic Apps.
AWS Environment Essentials:
AWS SageMaker, AWS Lambda, Amazon EKS, AWS Comprehend, Lex, Rekognition, Amazon S3, Amazon RDS (MySQL/PostgreSQL), AWS CloudWatch, AWS Step Functions.
Alternative (fundae Environment with Deposit):
Candidates without personal cloud infrastructure may use fundae's environment by paying a refundable deposit of USD 999. The deposit is fully refundable upon completion of training and after two months of active employment in a fundae internal or client project.
Compensation and Benefits:
Initial placement stipend starting at USD 2,500 per month upon being placed on a project for a minimum of 3 months and maximum of 6 months. Post-placement stipend period, candidates will transition to a competitive salary based on individual performance and market benchmarks.
Comprehensive health insurance, paid vacation, and additional perks upon permanent conversion
The training period is up to 4 months, potentially shorter if candidates master the curriculum earlier and are prepared for immediate professional deployment.