POST-TEENS (AGES 20 - 22)
AI for professional development.
Why Register?
Gain the necessary Job-ready skills in AI
01
Industry Readiness: Follow a rigorous curriculum designed to prepare you directly for the global tech job market.
02
High Earning Potential: Target entry-level tech opportunities with starting potentials of ~$50,000/year.
03
Professional Networking: Build relationships with global instructors and mentors through a volunteer-based staffing model.
04
Pathways to Specialization: Seamlessly transition into the Advanced 1-Year Program for Cybersecurity and Cloud Management.
PROGRAM COST
Two-Week Summer Incubator
- Fee: $499 per participant.
- Certification: Certificate of Completion from ELF Foundation.
- Batches:
- Batch 1: June 22 – July 3, 2026
- Batch 2: July 6 - July 17, 2026
- Batch 3:July 27 - Aug 7, 2026
- Batch 4: Aug 10 - Aug 21, 2026
What You Will Need (Requirements)
- Hardware: A functional laptop or desktop computer (Windows, macOS, or ChromeOS) equipped with a working webcam and microphone.
- Security: A webcam cover is highly recommended for secure digital learning protocols.
- Connectivity: A reliable, high-speed, stable internet connection capable of supporting daily live, synchronous interactive sessions with international instructors and industry mentors.
- Web Browser: Access to an internet-connected browser (Google Chrome or Mozilla Firefox recommended) to run cloud-based enterprise AI tools, Large Language Models (LLMs), and professional project collaboration platforms.
E-learning Suites: Access to professional digital workspaces, portfolio builders, and gamified AI exploration suites tailored for professional development.
WEEK 1: ENTERPRISE AI DEPLOYMENT & GLOBAL MONETIZATION FRAMEWORKS
Day 1: AI for Corporate Infrastructure
Core Objective:
Train fellows to audit legacy business operations and spot clear automation opportunities using AI.
Key AI Tools & Environments:
Enterprise workflow maps, operational auditing frameworks.
Step-by-Step Classroom Activity:
Activity: "The Corporate Efficiency Audit"
Fellows analyze a real-world case study of a struggling logistics firm. They isolate manual operational bottlenecks and design a strategic AI integration proposal to cut overhead costs.
Checkpoint: Every fellow can systematically calculate operational ROI on an AI tool deployment.
Day 2: Mastering Data Annotation Architectures
Core Objective:
Train fellows on advanced reinforcement learning mechanics (RLHF), data labeling standards, and managing cross-border annotation projects.
Key AI Tools & Environments:
JMDL Consulting enterprise infrastructure, corporate translation and semantic labeling tools.
Step-by-Step Classroom Activity:
Activity: "The Quality Assurance (QA) Manager Challenge"
Fellows act as high-tier Data Annotators and QA Managers, auditing large text and image training datasets to eliminate biases, errors, and hallucinations before model fine-tuning.
Day 3: Advanced Multi-Agent Workflows
Core Objective:
Teach fellows how to design, build, and deploy multi-agent AI ecosystems that communicate autonomously to complete corporate goals.
Key AI Tools & Environments:
Advanced API sandboxes, multi-agent frameworks (e.g., CrewAI, LangChain configurations, or complex Make.com routing).
Step-by-Step Classroom Activity:
Activity: "The Autonomous Marketing Agency"
Fellows build a multi-agent system where Agent A performs market research, Agent B writes copy based on that data, and Agent C cross-checks the copy against brand guidelines—all running automated in the background.
Checkpoint: Groups successfully deploy a multi-tiered, self-correcting automation loop.
Day 4: Custom Knowledge Retrieval (RAG)
Core Objective:
Teach the logic behind Retrieval-Augmented Generation (RAG) and connecting AI models safely to private corporate databases.
Key AI Tools & Environments:
Enterprise vector databases, custom GPT/Assistant playground backends.
Step-by-Step Classroom Activity:
Activity: "The Private Knowledge Base Setup"
Fellows ingest a massive, 200-page fictitious corporate policy manual into a secure vector environment and construct a tailored internal HR assistant that pulls data strictly from that source.
Day 5: Consulting Cohort Setup & Enterprise Briefing
Core Objective:
Formalize the advanced Consulting Cohorts and distribute project ownership for the Corporate Digital Transformation Capstone.
Key AI Tools & Environments:
Enterprise project management frameworks (Jira, Asana, enterprise Notion workspaces).
Step-by-Step Classroom Activity:
Activity: "The Transformation Charter"
Cohorts of 10 select an active industry vertical (e.g., healthcare admin or fintech customer service). They build a full consulting scope of work to implement custom AI solutions.
WEEK 2: INCUBATION, BOARDROOM DEFENSES, & GLOBAL CAREER PLACEMENT
Day 6: Full Stack App Wrappers & Deployment
Core Objective:
Teach fellows how to wrap their custom backends, APIs, and databases into professional, client-facing web application interfaces.
Key AI Tools & Environments:
Full-stack low-code engines (Bubble, Webflow Enterprise), advanced API connection suites.
Step-by-Step Classroom Activity:
Activity: "The Client-Facing Dashboard Build"
Teams design a sleek, secure corporate dashboard where a client can securely log in, query their automated multi-agent databases, and download generated data summaries.
Day 7: AI Ethics, Compliance, & Risk Audits
Core Objective:
Teach international compliance frameworks (like GDPR, AI Act foundations, and corporate data governance protocols).
Key AI Tools & Environments:
Governance frameworks, security testing models.
Step-by-Step Classroom Activity:
Activity: "The Tech Vulnerability Hackathon"
Cohorts switch project prototypes and deliberately attempt to 'prompt inject' or bypass the security rules of the opposite team's AI agent to uncover logic flaws and patch security vulnerabilities.
Day 8: Executive Boardroom Training
Core Objective:
Train fellows in elite high-stakes communication, professional objection handling, and enterprise sales pitching.
Key AI Tools & Environments:
Executive presentation suites, live digital whiteboard studios.
Step-by-Step Classroom Activity:
Activity: "The Executive Mock Defense"
Cohorts present their transformation decks to the instructor. The instructor acts as a cynical, cost-conscious Chief Technology Officer (CTO), intentionally throwing difficult budget and security questions at them.
Day 9: THE EXECUTIVE DEFENSE (Friday)
Core Objective:
Capstone Project Evaluation Day.
Key AI Tools & Environments:
High-definition live virtual streaming boardrooms, live technical system inputs.
Step-by-Step Classroom Activity:
Activity: "TTI Global Professional Fellowship Showcase"
Each of the 5 cohorts delivers an intensive 12-minute boardroom pitch and live software demo to an international panel of tech executives, industry mentors, and corporate foundation leaders.
Day 10: 🎓 RECOGNITION & MID-TERM RESUME COCKTAIL (Saturday)
Core Objective:
Execute the formal certification ceremony, launch professional digital footprints, and lock in the 6-month outcome evaluation pipeline.
Key AI Tools & Environments:
Professional business ecosystems (LinkedIn), global credential engines, resume Builders.
Step-by-Step Classroom Activity:
Activity: "The Executive Brand Activation"
Fellows participate in live, professional headshot photo sessions. Instructors run an interactive workshop to optimize their professional LinkedIn profiles, build advanced technical resumes, and introduce them to international tech recruitment networks.
Checkpoint: Verify that all fellows have correctly added their verified TTI credential badges to their professional profiles and joined the global alumni directory.