Deeptech Guide

Content Summary

1.0 Program Overview

1.1 Specialization Tracks Overview

1.1.1 Long Sprint Specialization Track (6 Months)

1.1.2 Short Sprint Specialization Track (3 Months)

1.1.3 Long Sprint Specialization Courses

1.1.4 Short Sprint Specialization Courses

1.0 Program Overview

The DeepTech_Ready Upskilling Program is a national capacity development initiative

aimed at empowering young Nigerians with the technical skills and job-ready

capabilities to thrive in the digital economy. With a strong focus on Data Science,

Artificial Intelligence. This program is designed to prepare you for high-impact careers

in a fast-evolving tech world. The program is delivered through a localized learning curriculum, combining self-paced modules, hub-supported sessions, real-world projects, career mentorship and a job-matching network to help you transition from learning to earning

1.1 Specialization Tracks Overview

The program has two specialization paths tailored to your availability and career goals:

1. Long Sprint Specialization Tracks – 6 Months

Designed for deep technical mastery and career transformation

2. Short Sprint Specialization Tracks – 3 Months

Built for accelerated upskilling in fast-growing tech domains

Features:

● Weekly assignments with feedback

● Hybrid dial-in sessions for complex topics

● Expert-led masterclasses

● Capstone project-based learning

● Flexible scheduling (weekdays/weekends)

1.1.1 Long Sprint Specialization Track (6 Months)

Each 6-month specialization is structured into four phases:

● Weeks 1–4: Foundational Phase

You will begin with a deep, hands-on introduction to key tech disciplines. This

phase is designed to stir your interest, build confidence, and prepare you for

your chosen specialization. You will explore basic tools, algorithms, and real-life

use cases that spark curiosity and skill development.

● Weeks 5–16: Specialization Phase

You’ll dive into your selected track, focusing on practical application through

industry-relevant tools, datasets, and projects. Expect guided walkthroughs,

peer collaboration, and flexible learning paths with personalized support.

● Weeks 17–20: Project Mentorship

In this project phase, you’ll work independently or in small teams to build a

robust real-world solution. You'll solve a defined problem statement using the

skills acquired — from ideation to final deployment — with expert feedback.

● Weeks 21–24: Career Development & Job Readiness

You’ll receive comprehensive support to prepare for job placement: resume

revamps, mock interviews, LinkedIn polishing, personal branding, and access to

a growing network of hiring partners.

1.1.2 Short Sprint Specialization Track (3 Months)

If you're looking to gain high-impact skills in record time, the 3-month sprint track is

built for you.

This fast-paced program includes:

● 8 weeks of applied, tool-based learning

● 4 weeks of capstone project execution and job-prep

You will complete focused hands-on labs, explore production-ready use cases, and

design intelligent solutions with industry relevance.

1.1.3 Long Sprint Specialization Courses:

1. Advanced Data Analysis and Visualization In this course, you will deepen your

skills in advanced SQL queries, Python data visualization, and business intelligence reporting using Power BI. You will become proficient in creating dashboards and visual reports that support informed decision-making.

Career Path: Data Analyst, BI Analyst 

What You Need to Get Started: Python basics, SQL familiarity, interest in analytics

2. Data Science / Machine Learning This specialization builds your end-to-end

skills in predictive modelling using Python, SQL, and cloud-based tools like Azure ML. You’ll explore ML and DL principles, then deploy your models in real-world settings using modern MLOps practices. Career Path: Data Scientist, ML Engineer

What You Need to Get Started: Python, SQL, basic statistics, interest in AI/ML, Billing card for Access to Azure cloud platform.

To gain access and practice effectively on Microsoft Azure, ensure you have one of the following payment methods available. This will ease setup strain. Remember to disconnect your card after use to avoid unwanted debits.

3. Data Architecture In this course, you’ll learn how to build scalable data pipelinesusing modern architecture tools. You’ll gain expertise in data ingestion,transformation, cloud/on-prem migration, and real-time data streaming acrosssystems.Career Path: Data Architect, Cloud Data EngineerWhat You Need to Get Started: SQL, Python, basic cloud exposure and access.4. Geospatial Data Science You will explore spatial data analysis using tools likeQGIS, ArcGIS, and Python libraries such as GeoPandas and Rasterio. You’ll learn how to generate insights from location-based data for practical use cases.Career Path: GIS Analyst, Geospatial Data ScientistWhat You Need to Get Started: Python, basic GIS concepts, Billing Card for Carto Platform access

1.1.5 Short Sprint Specialization Courses:1. No-Code Machine Learning and Automation2. Generative AI No-Code Machine Learning and Automation In this course, you are introduced to the world of machine learning without writing code. You will use Weka or Azure no-code machine learning platforms to process data, train models, and automate end-to-end ML workflows. You will begin by understanding the foundational concepts behind no-code ML tools —their features, interfaces, and value — and gradually build expertise in data pre-processing, supervised and unsupervised modelling, clustering, and ensemble methods. You will also automate your machine learning experiments, integrate workflows with Python/R, and scale to handle large and streaming datasets. The course ends with responsible AI practices — helping you build explainable models and communicate insights with business stakeholders.

Career Path:

● No-Code Data Analyst

● ML Workflow Automator

● Citizen Data Scientist What You Need to Get Started:

● No prior coding experiences

● Basic Knowledge of Data Science and Machine Learning

● Interest in data, automation, or intelligent tools

● Comfort with Excel or data platforms is an advantage Generative AI In this course, you will explore the frontier of artificial intelligence — where machines generate text, images, code, and more. You’ll start with the basics of generative AI: what it is, how it works, and how it differs from traditional AI. You’ll experiment with tools like ChatGPT, DALL·E, and Hugging Face, build prompts, design outputs, and explore creative and business use cases. You’ll dive into the building blocks of models like LLMs, GANs, and Diffusion Models, and learn how to design your own workflows using prompt engineering, fine-tuning, or retrieval-augmented generation (RAG).You will also explore how AI agents work — including how to build them using frameworks like LangChain, SmolAgents, or LlamaIndex — and apply them to real-world tasks like research, automation, or content creation.

Career Path:

● Generative AI Specialist

● AI Agent Developer

● Creative AI Designer

● Prompt Engineer 

What You Need to Get Started:

● Curiosity and creativity

● No programming required (basic tech literacy helps)

● Ideal for developers, business analysts, content creators, and anyone eager to explore generative technologies.