Enterprise Artificial Intelligence Trainee
About the Role: We are looking for passionate individuals aiming to build a rewarding career in Enterprise Artificial Intelligence (AI). Selected candidates will undergo comprehensive training in cutting-edge AI technologies and will later be placed in significant AI projects for major global enterprises.
Your Career Path:
- Initial Training (Month 1): Virtual instructor-led training covering:
- Language Models (Large & 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: Successful candidates will be evaluated and placed into permanent roles, either:
- Internal product teams
- External client projects for Fortune 500 companies
Enterprise AI Bootcamp Curriculum:
AI 101: Introduction to Artificial Intelligence (Credits: 3, Corresponding US Course: CS 101, Introduction to AI) This introductory course provides learners with fundamental AI concepts and distinctions between general AI technologies and enterprise-specific AI.
AI 201: Natural Language Processing and Language Models (Credits: 3, Corresponding US Course: CS 220, Natural Language Processing) Students engage in NLP methods and applications, gaining skills to implement NLP-driven solutions.
AI 210: Human AI Interaction and Prompt Engineering (Credits: 3, Corresponding US Course: IT 240, Human Computer Interaction) This course teaches prompt engineering for optimizing interactions between users and AI systems.
AI 220: Applied Data Analytics for Enterprise (Credits: 3, Corresponding US Course: DS 310, Applied Data Analytics) Participants learn essential analytics methods for enterprise AI applications like NLP, NER, RAG, and NLP-to-SQL.
AI 301: Intelligent Systems AI Agents (Credits: 3, Corresponding US Course: CS 340, Intelligent Systems) Students explore designing and deploying AI agents for complex enterprise tasks using frameworks like LanGraph and LangChain.
AI 302: Digital Twins (Human Digital Twins – HDTs) (Credits: 3, Corresponding US Course: CS 342, Digital Twin Systems) Detailed coverage of HDTs for modeling human behaviors and improving workflow efficiency.
AI 310: Capstone Practicum in Enterprise AI (Credits: 3, Corresponding US Course: CS 400, AI Capstone Project) Participants develop and implement comprehensive enterprise AI projects, ensuring readiness for professional roles.
Upon successful completion, participants will receive a Certificate in Enterprise AI, officially recognizing their specialized skills and readiness for real-world 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 (mapped to AI 220: Applied Data Analytics for Enterprise)
- Familiarity with cloud platforms (AWS, Azure, or GCP) (mapped to AI 301: Intelligent Systems AI Agents)
- Understanding of NLP concepts (mapped to AI 201: Natural Language Processing and Language Models)
- Exposure to AI Agent concepts or Digital Twins (mapped to AI 301 and AI 302)
- Reasoning and effective communication in technical contexts (mapped to AI 210: Human AI Interaction and Prompt Engineering)
- Comfortable with weekend virtual training sessions
Financial Commitment: fundae incurs substantial expenses in delivering this intensive training, including professional mentorship, specialized course materials, and hands-on project experience. Therefore, a refundable deposit of USD 999 is required upon acceptance. This deposit ensures candidate commitment and participation throughout the program. The deposit is fully refundable upon successful completion of training and after two months of active employment in either an internal project or external customer engagement facilitated by fundae.
Compensation and Benefits:
- Initial placement stipend starting at USD 2,500 per month
- Salary adjusted based on skills and market value after initial period
- Full health insurance, paid vacation, and additional company perks upon permanent conversion
This opportunity provides exceptional exposure and accelerated career growth in the field of Enterprise AI.