# Application & Onboarding # Eligibility Requirements The THiNK Reseller Program is open to individuals and organizations with an interest in deploying AI-powered solutions using THiNK technologies. While prior experience in artificial intelligence or software development is beneficial, the program also welcomes motivated professionals who demonstrate a willingness to learn and apply new technologies responsibly. The eligibility requirements are designed to ensure that participants possess the foundational skills, professionalism, and commitment necessary to successfully complete the training program and deliver high-quality client projects. ## Technical Requirements Applicants should have experience in one or more of the following areas: - Software development - Web development - Mobile application development - AI and Machine Learning - API development and integration - Cloud platforms - Data engineering - Chatbot or conversational AI development Knowledge of programming languages such as Python, JavaScript, or Java is highly recommended but not mandatory for all partnership tracks. ## Professional Qualities Successful resellers are expected to demonstrate: - Professional integrity - Strong problem-solving skills - Customer-focused communication - Willingness to collaborate with clients and technical teams - Commitment to continuous learning - Respect for data privacy and ethical AI principles Meeting the minimum eligibility requirements does not guarantee acceptance into the program, as all applications undergo a competitive review process. # Application Process The application process is designed to identify qualified candidates who have the technical capability, professional mindset, and commitment required to represent THiNK and deliver AI solutions successfully. The process consists of the following stages: ## Step 1: Submit an Online Application Applicants complete the official THiNK Reseller Program Application Form, providing personal details, technical background, work experience, and relevant portfolio information. ## Step 2: Application Review The Partnerships Team reviews each application to assess technical readiness, professional experience, and alignment with the goals of the program. ## Step 3: Technical Evaluation (Optional) Depending on the applicant's background and intended specialization, THiNK may conduct a technical interview, portfolio review, or practical assessment to evaluate competency. ## Step 4: Selection Decision Applicants are evaluated against the program's selection criteria. Successful candidates receive an official acceptance notification. ## Step 5: Enrollment Accepted applicants complete enrollment by confirming participation, reviewing program policies, and obtaining access to THiNK Academy. The application process typically takes between one and three weeks, depending on application volume and the selected cohort. # Selection Criteria The THiNK Reseller Program uses a structured evaluation framework to ensure fairness, transparency, and consistency during partner selection. Applications are assessed across several key areas. ## Technical Capability Applicants should demonstrate experience or foundational knowledge in software development, AI, APIs, automation, cloud technologies, or related technical disciplines. ## Professional Experience Relevant work experience, internships, freelance engagements, or personal projects are considered during evaluation. Practical implementation experience is highly valued. ## Portfolio Quality Applicants are encouraged to submit GitHub repositories, project demonstrations, websites, or case studies that showcase their technical capabilities and problem-solving skills. ## Communication Skills Successful partners should be able to communicate effectively with clients, collaborate with teams, and present technical information clearly. ## Learning Mindset THiNK values individuals who demonstrate curiosity, adaptability, and a commitment to continuous professional development. ## Alignment with THiNK Values Applicants are expected to embrace responsible AI practices, professionalism, ethical conduct, and a commitment to delivering high-quality solutions. Selection decisions are based on the overall strength of an application rather than any single criterion. # Application Form Requirements The application form collects information that enables the Partnerships Team to understand each applicant's background, experience, and suitability for the program. Applicants should prepare the following information before beginning the application. ## Personal Information - Full Name - Email Address - Phone Number - Country of Residence - LinkedIn Profile - Personal Website or Portfolio (optional) ## Professional Background Applicants should provide details on: - Current occupation - Primary area of expertise - Years of professional experience - Previous AI or software development projects ## Technical Experience Applicants are asked to describe: - Programming languages - AI frameworks - Cloud platforms - APIs - Bot development experience - Deployment experience ## Portfolio Applicants should provide links to: - GitHub repositories - Live applications - Technical blogs - Research projects - Previous client implementations ## Motivation Statement Applicants are required to explain: - Why they wish to join the THiNK Reseller Program - Their career goals - How they plan to contribute to the THiNK ecosystem Providing complete and accurate information improves the quality and speed of the review process. # Acceptance Process Applicants who successfully meet the selection criteria receive an official acceptance into the THiNK Reseller Program. The acceptance process ensures that all participants understand the program requirements before beginning their learning journey. The process includes the following steps: ## Acceptance Notification Successful applicants receive an email confirming their admission into the selected cohort. ## Participation Confirmation Applicants confirm their intention to participate by responding within the specified acceptance period. ## Program Documentation Participants receive: - Welcome Letter - Program Handbook - Code of Conduct - Responsible AI Guidelines - Training Schedule - Communication Guidelines ## Account Creation Participants are issued accounts for: - THiNK Academy - GitLab - Documentation Platform - Communication Channels - Technical Support Portal ## Orientation Before training begins, participants attend an onboarding session introducing: - Program expectations - Learning pathway - Communication procedures - Technical support resources - Assessment process Following orientation, participants officially become members of the THiNK Reseller Program. # Onboarding Checklist The onboarding process ensures that every participant is fully prepared before beginning training and project work. Each reseller should complete the following checklist. ### Administrative Tasks - Complete enrollment confirmation. - Review and accept the Code of Conduct. - Read the Responsible AI Guidelines. - Join official communication channels. - Update personal profile information. ### Technical Setup - Install Visual Studio Code. - Install Git. - Install Docker Desktop. - Install Python. - Configure GitLab access. - Verify internet connectivity. - Test development environment. ### Platform Access - Log into THiNK Academy. - Access GitLab repositories. - Access technical documentation. - Join scheduled Google Meet sessions. - Verify communication platform access. ### Learning Preparation - Review the training calendar. - Download learning resources. - Complete orientation modules. - Introduce yourself in the community forum. - Schedule onboarding support if required. Completion of the onboarding checklist ensures that participants can fully engage in training without technical or administrative delays. # Access to THiNK Academy
THiNK Academy serves as the primary learning platform for all reseller training and professional development activities. It provides structured learning pathways, technical resources, assessments, and certification opportunities designed to prepare partners for successful AI solution delivery. Upon acceptance into the program, each reseller receives secure login credentials to access the Academy. Partners are encouraged to complete their profile, review the learning calendar, and familiarize themselves with the platform before beginning their coursework. ## Learning Resources THiNK Academy provides access to a range of learning materials, including:
- Video lectures and recorded webinars - Reading materials and technical guides - Practical coding exercises and labs - Project templates and sample implementations - Quizzes and knowledge assessments - Discussion forums and community spaces
## Learning Path The standard reseller learning path includes:
1. Program Orientation 2. AI Fundamentals 3. Responsible AI and Ethics 4. Bot Development and Integration 5. Retrieval-Augmented Generation (RAG) 6. API Integration and Deployment 7. Capstone Project 8. Final Assessment and Certification
## Progress Tracking Partners can monitor their learning progress through personalized dashboards that display completed modules, assessment scores, and certification status. Automated reminders help participants stay on schedule, while instructors and mentors provide support through discussion forums and scheduled live sessions. ## Certification Eligibility Completion of all mandatory modules, practical assignments, and final assessments is required before certification. Certified partners gain access to client project opportunities and ongoing professional development resources within the THiNK ecosystem. THiNK Academy is more than a learning platform—it is the foundation for continuous growth, ensuring that every reseller remains up to date with emerging AI technologies, best practices, and THiNK implementation standards.