Ihifix Digital Academy

Become an Expert in AI and Machine Learning in 12 weeks

Master Artificial Intelligence and machine learning with Python in 12 weeks. Gain hands-on experience with expert mentors, build real-world projects, and acquire in-demand skills to fast-track your AI and machine learning career.

Course Overview

Ever wondered how AI powers solutions for complex challenges like predicting financial trends or diagnosing medical conditions? Machine learning is at the heart of these breakthroughs, enabling systems to learn and adapt without human intervention. This 12-week live, interactive course equips you with the skills to not only solve these problems but also positions you for a successful career in AI and machine learning. From hands-on projects to career mentorship, you’ll gain the tools needed to thrive in today’s AI-driven world.

Why Choose This Course?

  • Live, interactive classes: Participate in real-time, 100% live sessions with instructors—no pre-recorded videos—ensuring personalized, hands-on learning.

  • Hands-on projects & portfolio building: Build real-world projects that showcase your skills and enhance your professional portfolio.

  • Real-World Case Studies: Apply machine learning techniques in industries like finance, healthcare, and more.

  • Certificate of Completion: Earn a globally recognized certificate that showcases your job-ready credentials.

  • Lifetime Access: Revisit course materials anytime, anywhere, at your own pace.

  • Career support & mentorship: Get expert guidance and personalized mentorship to help you navigate your career path.

  • Flexible payment plans available: Spread your course fees over time with flexible payment options

What You Will Learn

  • Python programming, data manipulation, and visualization
  • Machine learning models for classification and regression
  • Deep learning, neural networks, and CNNs
  • Natural Language Processing (NLP) and sentiment analysis
  • Model deployment on cloud platforms like AWS

Curriculum Overview

Each module contains a breakdown of topics to guide learners through practical skills with real-world examples.

  1. Python Foundations for Machine Learning
    Master the basics of Python programming, libraries such as NumPy, Pandas, and Matplotlib. Learn how to clean, manipulate, and visualize data effectively.
  2. Introduction to AI and Machine Learning Concepts
    Understand key machine learning concepts like supervised and unsupervised learning. Start working with foundational algorithms such as Linear Regression, k-Nearest Neighbors, and Decision Trees.
  3. Supervised Learning in Depth
    Dive deeper into advanced supervised learning algorithms like Random Forest, XGBoost, and SVM. Explore model evaluation techniques, cross-validation, and hyperparameter tuning.
  4. Unsupervised Learning Techniques
    Learn clustering techniques like K-means and DBSCAN. Understand dimensionality reduction with PCA and apply them to explore and visualize data patterns.
  5. Deep Learning with TensorFlow and Keras
    Explore neural networks using TensorFlow and Keras. Build CNNs for image classification and RNNs for sequence prediction.
  6. Natural Language Processing (NLP)
    Learn text processing techniques, from tokenization to sentiment analysis. Work with word embeddings like Word2Vec and apply NLP in chatbots and text classifiers.
  7. Model Deployment
    Learn how to deploy machine learning models using Flask or Django. Containerize your models using Docker and deploy them on cloud platforms like AWS or Google Cloud.
  8. Capstone Project
    Work on a real-world problem, applying your skills to build an end-to-end machine-learning solution. Example projects include predictive models in finance, image classification in healthcare, or NLP-driven recommendation systems for retail.

Job Roles You Can Pursue After Completing This Course:

  • Machine Learning Engineer
  • Data Scientist
  • AI Developer
  • Business Analyst (with ML focus)
  • And more… The demand for these skills is skyrocketing!

Where is the Skill in Demand?

Globally: Tech giants, startups, and every industry in between are seeking machine learning talent.

Nigeria: From fintech to healthcare to agriculture, Nigerian companies are embracing AI to solve local challenges and drive innovation

Tuition Fee

Tuition Fee= ₦121,000

Our Flexible Payment Plan. No hidden cost.

Pay in 2 installments

₦60,500 X2

Pay upfront and save 10%

₦110,000

Duration

3 Months

FAQs

What prior experience do I need to enroll in this course?

No prior experience in AI or machine learning is needed. Basic knowledge of Python programming is recommended, but we provide foundational support to help you succeed.

Are the classes live or pre-recorded?

All classes are 100% live and interactive with mentors. No pre-recorded videos, ensuring real-time engagement.

What kind of projects will I work on?

You’ll work on real-world projects in fields like finance, healthcare, and e-commerce to build your portfolio.

How does the payment plan work?

We offer two payment options: upfront or in 2 installments. Pay upfront and get 10% off the course fee.

What career support will I receive?

You’ll receive personalized career mentorship, resume reviews, and guidance on building a strong portfolio to stand out in the job market.

What is the course duration?

12 weeks of intensive learning.

What are the tools needed?

A computer with Python installed; setup guidance will be provided.