About fundae Software: fundae Software Inc. is a leading enterprise technology provider specializing in artificial intelligence and analytics solutions. We help businesses optimize operations, improve decision-making, and drive innovation through advanced AI-driven technologies.

About fundae's Advisory Practice: fundae Software's Advisory Practice specializes in guiding enterprises through AI-driven transformation journeys. Leveraging deep expertise in Enterprise AI, our advisory team partners closely with businesses to develop strategic AI solutions aligned with operational objectives, market demands, and growth targets. Our experienced professionals provide comprehensive support from opportunity identification to deploying analytics frameworks and AI-driven processes, ensuring measurable business outcomes.

About the Role:

We are hiring motivated individuals for our Advisory Practice from Business, Marketing, Economics, Business Analytics and Finance backgrounds who want to build a full-time career in Enterprise Artificial Intelligence (AI). After an initial comprehensive training period, participants will be placed directly into full-time projects, working with internal strategic teams or external client initiatives, including opportunities with Fortune 500 companies.

Why This Skill Set Matters:
In today's business environment, familiarity with Enterprise AI is increasingly important. Organizations use AI to understand customer behavior, anticipate market shifts, and manage finances effectively. Professionals who understand and apply these AI tools can better support strategic business outcomes and maintain relevance in their industries.

Your Accelerated Career Path:

Initial Training (Month 1):
The first month provides virtual instructor-led training in foundational and advanced concepts of AI tailored specifically for business use. Participants will explore AI fundamentals, market intelligence techniques using NLP, and effective AI communication strategies. They will also learn strategic data analytics methodologies crucial for financial forecasting, consumer analysis, and decision-making processes.

Practical Training (Months 2 to 4):
In the following months, trainees engage in hands-on projects under professional mentorship, directly applying AI solutions to real-world business scenarios. Participants gain practical experience in creating automated business agents, deploying digital twins for simulation, and addressing genuine market and financial challenges.

Placement:
Upon successful completion, candidates will transition into permanent roles, contributing actively to strategic business initiatives, marketing strategies, and financial analysis projects at prominent companies.

Enterprise AI Bootcamp Curriculum (Business Track):
The comprehensive curriculum introduces AI concepts relevant to business analytics, consumer insights, and financial strategy:

• AI 101: Introduction to AI in Business: Understand foundational AI principles and their significance in enhancing business strategy and operations. Learn to identify potential AI applications within diverse business contexts, examining real-world examples. Explore ethical considerations and best practices in integrating AI into business workflows. Gain practical insights into successful AI-driven business transformations.

• AI 201: NLP and Market Intelligence: Discover the power of natural language processing (NLP) for uncovering market intelligence and consumer sentiment. Learn techniques for analyzing textual data, extracting meaningful insights, and predicting consumer trends. Apply NLP tools in case studies focused on marketing analytics and competitor analysis. Develop capabilities to leverage market intelligence strategically to inform decision-making.

• AI 210: Business Communication with AI: Master effective interaction with AI systems to optimize business communications. Learn prompt engineering techniques to ensure AI-generated content is precise, clear, and contextually relevant. Apply these skills in scenarios including customer interactions, internal communications, and strategic messaging. Enhance your ability to use AI as a tool to improve business communication efficiency.

• AI 220: Strategic Data Analytics: Explore strategic data analytics tools crucial for accurate financial forecasting and comprehensive market trend analysis. Understand methodologies for analyzing large data sets to support business decision-making processes. Gain practical experience applying analytics tools to address real-world financial and marketing scenarios. Develop the ability to effectively interpret and communicate analytical results for strategic insights.

• AI 301: AI Agents for Market and Financial Tasks: Learn to design and deploy AI-driven agents tailored for specific market and financial applications. Explore automation techniques to handle routine tasks, such as market research, financial reporting, and compliance monitoring. Gain insights into best practices for deploying AI agents effectively in diverse business environments. Acquire hands-on experience developing agents to enhance operational efficiency and accuracy.

• AI 302: Digital Twins in Consumer and Financial Modeling: Delve into digital twin technology for simulating and analyzing consumer behavior and financial scenarios. Learn to create detailed, accurate models that inform strategic decision-making processes in marketing and finance. Understand how digital twins can predict outcomes, optimize resource allocation, and mitigate risk. Apply these skills through practical projects focused on real-world business problems.

• AI 310: Capstone Practicum in Business AI: Undertake a comprehensive, hands-on project integrating all learned AI concepts into a real-world business challenge. Collaborate closely with industry mentors, receiving professional guidance and feedback. Demonstrate your capability to implement strategic AI-driven solutions effectively. Develop a robust project that showcases your readiness for professional deployment in business, marketing, or financial environments.

Upon successful completion, participants receive a Certificate in Enterprise AI for Business, recognizing specialized strategic skills valuable for career advancement.

Total Credits: 21 (Equivalent to one full semester of U.S. university coursework)

Candidate Requirements:

• Bachelor's or Master's degree (or current enrollment) in Business, Marketing, Finance, Economics, Business Analytics, or related fields

• Basic proficiency in SQL or Python or Excel or any Similar Analytics Tool or Platform

• Familiarity with cloud platforms preferred (AWS, Azure, or GCP)

• Strong analytical reasoning and communication skills

• Comfortable attending virtual weekend training sessions

Cloud Infrastructure Requirement:
Candidates must have access to their own enterprise-grade cloud environment (Azure or AWS) for training and practice purposes.

Alternative (fundae Environment with Deposit): Candidates without personal cloud infrastructure can utilize fundae's environment by placing a refundable security deposit of USD 999. The deposit is fully refundable 6 months after completion of training.

Compensation and Benefits:

• Initial placement stipend starting at USD 2,500 per month upon project placement (3 to 6 months)

• Transition to competitive market salary post-placement stipend period

• Comprehensive health insurance, paid vacation, and additional benefits upon permanent conversion

The training period spans up to 4 months but may conclude earlier based on individual readiness for professional deployment.