SENIOR COHORT (AGES 17–19)

Accelerating Careers in Tech & Innovation

Why Register?

Connect, Collaborate, and Compete with Peers Across Continents.

Industry Readiness: Follow a rigorous curriculum designed to prepare you directly for the global tech job market.

High Earning Potential: Target entry-level tech opportunities with starting potentials of ~$50,000/year.

Professional Networking: Build relationships with global instructors and mentors through a volunteer-based staffing model.

Pathways to Specialization: Seamlessly transition into the Advanced 1-Year Program for Cybersecurity and Cloud Management.

PROGRAM COST

Two-Week Summer Incubator

Fee: $399 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 safe digital learning.
Connectivity: A reliable, high-speed, stable internet connection capable of supporting daily live, synchronous interactive sessions with international instructors.
Web Browser: Access to an internet-connected browser (Google Chrome or Mozilla Firefox recommended) to run cloud-based AI tools, Large Language Models (LLMs), and team collaboration platforms.
Specialized Software: Installation of Roblox Studio for interactive development, engagement, and team-based AI project challenges.

WEEK 1: AI CAREER PATHWAYS & DATA INFRASTRUCTURE ($15–$30/HR REMOTE PATHWAYS)

Day 1: Mapping the AI Career Landscape

Core Objective:

Map out professional career tracks: Data Annotation Specialists, Prompt Engineers, AI Product Managers, and AI Integration Developers.

Key AI Tools & Environments:

Career mapping databases, live industry role matrices.

Step-by-Step Classroom Activity:

Activity: "The AI Career Matrix"

Students take an aptitude matrix and explore 4 specialized tech career tracks. Each student chooses a professional focus area that they will anchor their capstone project around.

Checkpoint: Every student maps out a defined career track profile for the duration of the program.

Day 2: The Data Annotation Pipeline

Core Objective:

Teach the foundations of data annotation, reinforcement learning from human feedback (RLHF), and high-value remote work infrastructure.

Key AI Tools & Environments:

JMDL Consulting framework workflows, professional text/image labeling sandboxes.

Step-by-Step Classroom Activity:

Activity: "The Model Training Simulation"

Students act as data evaluators, reviewing raw AI outputs, flagging hallucinations, labeling edge-case data, and structuring feedback loops to learn how enterprise models are trained.

Checkpoint: Students successfully clean, label, and format a mock text dataset to zero-error enterprise standards.

Day 3: Enterprise Automation Pipelines

Core Objective:

Teach students how to build automated workflows that connect multiple AI tools to execute corporate tasks.

Key AI Tools & Environments:

Workflow automation platforms (e.g., Make.com, Zapier, or advanced multi-agent scripting plugins).

Step-by-Step Classroom Activity:

Activity: "The Automated Business Machine"

Students design an automated pipeline where an incoming customer trigger automatically generates a localized AI analytical summary, formats a professional response, and logs it into a database without human intervention.

Checkpoint: Every student successfully deploys a working, 3-step automated logic trigger workflow.

Day 4: Advanced API Architecture

Core Objective:

Introduce the concepts of API keys, model variables (temperature, system instructions), and cloud data handling.

Key AI Tools & Environments:

Advanced OpenAI/Anthropic developer playgrounds, API calling interfaces.

Step-by-Step Classroom Activity:

Activity: "The Custom Enterprise Assistant"

Students configure a developer backend tool, altering system weights and temperature tokens to craft a highly specific corporate customer support agent tailored to a real-world business case study.

Checkpoint: Students demonstrate an understanding of how changing model temperature affects creativity vs. factual precision.

Day 5: Cohort Initialization & Venture Briefing

Core Objective:

Form cross-border collaborative cohorts and assign responsibilities for the AI-driven Business Venture Capstone.

Key AI Tools & Environments:

Agile project spaces (Notion, Jira, or click-up), shared cloud repositories.

Step-by-Step Classroom Activity:

Activity: "The AI Startup Architecture"

Cohorts of 10 identify a specific market inefficiency (e.g., localized logistics or tech training access). They deploy a collaborative workspace to plan an AI-driven consulting or software solution company.

Checkpoint: Every cohort submits an approved project charter detailing their chosen problem, selected career roles, and individual project milestones.

WEEK 2: EXECUTION, PROFESSIONAL BRAND LAUNCH, & SHOWCASE

Day 6: Building Technical Prototypes

Core Objective:

Develop the operational frontend or technical minimum viable product (MVP) of the cohort project.

Key AI Tools & Environments:

No-code/Low-code AI application builders (e.g., Bubble, Glide, or custom web wrappers).

Step-by-Step Classroom Activity:

Activity: "The MVP Build Cycle"

Teams utilize app builders to integrate the custom AI assistants or automation pipelines they created in Week 1 into a functional, clickable web user interface.

Checkpoint: Prototypes must functionalize a live data connection (e.g., a form input successfully getting a response from an AI agent).

Day 7: Financial Architecture & Valuation

Core Objective:

Teach basic financial modeling, project costing, and pricing models using data tools.

Key AI Tools & Environments:

Advanced spreadsheet engines, financial prompt modeling templates.

Step-by-Step Classroom Activity:

Activity: "The Cost-to-Serve Calculator"

Cohorts calculate the data token costs, operational overhead, and potential profit margins of their AI startup product to determine realistic market pricing.

Checkpoint: Teams document an operational cost-per-user analysis within their pitch frameworks.

Day 8: The Technical Pitch & Presentation Skills

Core Objective:

Train students in technical storytelling, public speaking, and presentation design tailored for corporate stakes.

Key AI Tools & Environments:

Professional presentation suites, advanced screen-capture workflows.

Step-by-Step Classroom Activity:

Activity: "The Boardroom Run-Through"

Cohorts build their structured technical pitch decks. Each student practices pitching their specific career focus contribution to the project, receiving iterative public speaking feedback.

Checkpoint: Every student in the cohort of 10 is verified to speak confidently on their precise technical contribution to the venture.

Day 9: THE VENTURE DEMO (Friday)

Core Objective:

Capstone Venture Evaluation Day.

Key AI Tools & Environments:

Live virtual executive streaming setups, digital whiteboards.

Step-by-Step Classroom Activity:

Activity: "TTI Global Senior Teen Pitch Day"

Each of the 5 cohorts delivers a 10-minute live demonstration of their AI-powered prototype and business blueprint to international tech mentors, foundation leads, and potential employers.

Checkpoint: Grade cohorts based on technical feasibility, data pipeline optimization, collaborative execution, and career pathway integration.

Day 10: 🎓 GRADUATION & PROFILE LAUNCH (Saturday)

Core Objective:

Launch professional profiles, execute formal certification, and initiate long-term outcome tracking.

Key AI Tools & Environments:

Professional networking platforms (LinkedIn), global credential engines.

Step-by-Step Classroom Activity:

Activity: "The Professional Identity Launch"

Live on-site professional headshot sessions. Instructors guide students to build optimized LinkedIn profiles, upload their verified TTI credentials, and structure CVs tailored for global remote tech hubs.

Checkpoint: Confirm every student has successfully published their portfolio project and added their verified TTI Certificate to their digital credentials.