DeepTech_Ready Program

🎙 Sessions will be led by experienced professionals and industry experts across different specialization tracks Make the most of this opportunity by showing up, participating actively, and staying consistent throughout the sessions See you in class

This phase covers: ✅ Structured Query Language (SQL) ✅ Geospatial Data Science ✅ Natural Language Processing (NLP) ✅ Visualization with Python ✅ Computer Vision ✅ Data Engineering

@DeepTech_Ready Cohort 3, the Second Specialization Live Class is here Get ready for another round of engaging sessions designed to deepen your understanding and strengthen your practical skills 📅 26th May – 4th June, 2026 ⏰ 5:00 PM daily 💻 Zoom

💡 You do not need to have everything figured out before you begin. Start where you are, learn as you go, and keep building consistently. Keep showing up. Keep learning. Keep moving forward. 🚀 #datasciencenigeria #3mttdeeptechready

“The way to get started is to quit talking and begin doing.” — Walt Disney Ideas are important, but progress only happens when action begins. Whether it’s joining a live class, practicing a new skill, or working on a project, every step forward starts with doing.

The People Practice x @DeepTech_Ready While the world debates if AI is coming for jobs, we asked: How do we build the people behind the technology? We pulled the room of HR Leaders to discuss and they delivered. If you were not there this time, you need to be in the next one!

Every class attended, every assignment completed, every hour spent learning adds up over time. Growth rarely happens overnight. It comes from showing up daily, even when progress feels small. Keep learning. Keep improving. Keep going. #datasciencenigeria #3mttdeeptechready

“Success is the sum of small efforts, repeated day in and day out.” — Robert Collier In a world that celebrates big wins and quick results, this quote is a reminder that real progress is built through consistency.

Innovation happens when data, automation, and intelligence work together. This week in the @DeepTech_Ready Program, participants explored the intersection of data analysis, automation, and Generative AI through practical and concept-driven sessions. The learning experience combined SQL automation with data exploration in Python, giving participants a broader understanding of how modern data systems are structured, analyzed, and optimized. From automating database operations to uncovering patterns and insights within datasets, learners gained hands-on exposure to tools and techniques used in real-world data workflows. The session also introduced the architecture behind Generative AI, helping participants understand how modern AI systems are designed to process information, learn from data, and generate intelligent outputs. By connecting automation, analytical thinking, and AI architecture, the session provided participants with a deeper perspective on how advanced technologies work together to power today’s intelligent solutions. #DeepTech @NITDANigeria #SQL #Python #DataAnalysis #MachineLearning #AI

“The power of technology lies in its ability to turn complexity into insight.” In the @3MTTNigeria X @AirtelNigeria #NextGen Program, this week’s learning session focused on the technologies and statistical concepts driving modern data and AI solutions. On the AI/Machine Learning track, participants explored Big Data Frameworks such as Hadoop, PySpark, and Dask, gaining insight into how massive datasets are processed and managed efficiently in real-world environments. In Data Science, learners dived into Inferential Statistics, covering concepts such as data distribution, the Central Limit Theorem, hypothesis testing, and statistical methods including T-test, Chi-Square Test, and ANOVA. These concepts play a critical role in making data-driven decisions and validating analytical results. For Data Analysis & Visualization, participants strengthened their Python skills through data visualization using Seaborn and Matplotlib, learning how to present data clearly and communicate insights effectively. The session combined theory with practical application, helping participants build a deeper understanding of how data can be analyzed, interpreted, and transformed into meaningful solutions. @NITDANigeria #DataScience #3mtt #Python #MachineLearning #DataVisualization #Statistics #AI #TechSkills

Today, we recognize learners across the short and long sprint tracks who continue to stay consistent and engaged It’s not just about completing modules It’s about building real skills and showing up every day Stay focused. Stay consistent. Keep going. #datasciencenigeria #3mtt

Hello @DeepTech_Ready Cohort 2 Fellows We’re excited to present the second batch of capstone projects, showcasing the depth, innovation, and problem-solving capabilities developed throughout the program. Date: TODAY, 8th May, 2026 Time: 5 PM – 8 PM (WAT) Venue: Zoom #3mtt

That’s why it’s driving breakthroughs in fields like healthcare, finance, and computer vision. The real shift isn’t just better models—it’s a new way of learning. #datasciencenigeria #3mttdeeptechready

• Unlocks solutions to problems once considered too difficult for machines Traditional machine learning relies on human-guided feature extraction. Deep learning? It builds its own understanding.

Not all AI learns the same way—and that difference matters. Deep learning stands apart from traditional machine learning by its ability to automatically learn features directly from raw data. No manual feature engineering.

From medical imaging to facial recognition and product classification, transfer learning is a key driver behind practical, scalable AI solutions. The future of AI isn’t just about learning more—it’s about learning smarter. #datasciencenigeria #3mttdeeptechready

Instead of training from scratch, we refine existing knowledge to solve real-world problems faster and more efficiently. Why it matters: • Reduces the need for massive, labeled datasets • Speeds up development and deployment • Improves performance, even with limited data

In computer vision, progress doesn’t always come from starting over—it often comes from building on what already works. Transfer learning allows us to take models that have already learned rich visual patterns from large datasets and adapt them to new, specific tasks.

Hello,  @DeepTech_Ready  Cohort 3.0 Fellows! Your Computer Vision live class holds tomorrow with Odemakinde Elisha Jesutofunmi (@Elishatofunmi) Date: Tuesday, 5th May 2026 Time: 5:00 PM Venue: Zoom Join on time and stay engaged #datasciencenigeria #3mttdeeptechready