• Vephla
  • AI

Artificial Intelligence & Machine Learning

The Vephla Artificial Intelligence & ML Nanodegree is a hands-on, industry-aligned program designed to transform learners into competent AI practitioners capable of deploying machine learning models and intelligent systems across sectors. The curriculum spans from foundational AI concepts to advanced applications in deep learning, NLP, and ethical AI


Learn: Introduction | Machine Learning Principles | ML Implementation | Advanced AI - Deep Learning | NLP | Responsible & Ethical AI | Tools, Languages & Environment | Projects

  • 4.9

  • 100% Live Lessons

  • 1,000+ Students

  • 12 months

Mentor: Dr Richards Michael

40% OFF

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  • Overview
  • Instructor

What you'll learn

    MODULE 1: FOUNDATIONS OF ARTIFICIAL INTELLIGENCE

    Objective: Build a strong understanding of what AI is, its historical context, and foundational theories.

  • What is Artificial Intelligence?
  • History and Evolution of AI
  • Philosophical and Scientific Roots of AI
  • Understanding Machine Intelligence vs Human Intelligence
  • The Hype and Reality of AI Today
  • Overview of AI Use Cases in Business and Society

    • MODULE 2: MACHINE LEARNING PRINCIPLES & STRATEGY

    Objective: Understand how machines learn, types of machine learning, and the complete ML pipeline.

  • Supervised, Unsupervised and Reinforcement Learning
  • Regression, Classification, and Clustering Models
  • Data Collection, Cleaning and Preprocessing
  • Exploratory Data Analysis (EDA)
  • Feature Engineering and Feature Selection
  • Model Building, Evaluation, and Hyperparameter Tuning
  • Deployment and Lifecycle Management of ML Models

    • MODULE 3: PRACTICAL ML IMPLEMENTATION

    Objective: Apply ML techniques on real datasets.

  • Predicting customer churn using logistic regression
  • Credit scoring with random forests
  • Sales forecasting with linear regression and time series
  • Anomaly detection using clustering techniques
  • Inventory optimization using decision trees
  • Sentiment analysis from social media feeds

    • MODULE 4: ADVANCED AI – DEEP LEARNING

    Objective: Learn about neural networks, backpropagation, and use deep learning for image, speech, and signal processing.

  • Understanding Perceptrons and Feedforward Networks
  • Activation Functions and Loss Functions
  • CNNs for Computer Vision Tasks
  • RNNs and LSTMs for Time Series and Text
  • GANs for Data Generation
  • Transfer Learning in Production Settings
  • Using TensorFlow and PyTorch

    • MODULE 5: NATURAL LANGUAGE PROCESSING (NLP)

    Objective: Explore how machines understand and generate human language.

  • Text Cleaning and Tokenization
  • Word Embeddings and Contextual Vectors
  • Named Entity Recognition
  • Topic Modeling
  • Sentiment Analysis
  • Building Chatbots
  • Using Transformers and LLMs (e.g., BERT, GPT)

    MODULE 6: AI IN THE ENTERPRISE

    Objective: Connect AI to business outcomes and career trajectories.

  • Business Applications of AI (Finance, Healthcare, Edtech, Agriculture, etc.)
  • Building Data Pipelines in an Enterprise Setting
  • AI Product Development Lifecycle
  • Data Engineering vs Machine Learning Engineering
  • AI Roles: Analyst, Engineer, Scientist, Ethicist, Product Owner
  • Economics of AI: ROI, Scalability, and Value Chain Integration

    • MODULE 7: RESPONSIBLE & ETHICAL AI

    Objective: Understand the risks, bias, and governance associated with intelligent systems.

  • Fairness, Accountability, and Transparency in AI
  • Bias Detection and Mitigation Techniques
  • Inclusive Dataset Creation
  • Regulatory and Compliance Issues in AI
  • Case Studies on AI Failures
  • Designing Explainable AI Systems (XAI)

    • MODULE 8: TOOLS, LANGUAGES & ENVIRONMENTS

    Objective: Gain proficiency in the most-used tools and libraries in the industry.

  • Python (pandas, scikit-learn, matplotlib, seaborn)
  • TensorFlow, PyTorch
  • Jupyter Notebooks
  • Google Colab
  • SQL for Data Manipulation
  • Git and GitHub
  • Streamlit and Flask for AI App Prototyping

    • MODULE 9: CAPSTONE PROJECT

    Objective: Solve a complex, real-world problem using AI from end to end.

  • Define the Problem Statement and Scope
  • Collect and Prepare the Data
  • Select and Justify the Model(s)
  • Train, Evaluate, and Interpret Model
  • Present Results with Visualizations and Dashboard
  • Submit Video Demonstration and Report

Requirements

  • No prior AI/ML knowledge required
  • Strong interest in programming, logic, or data
  • Access to a computer and stable internet
  • Willingness to complete projects and submit demos

About This Course

This course provides a comprehensive introduction to the fundamental concepts, techniques, and applications of artificial intelligence and machine learning. Students will explore how computers can be programmed to simulate human intelligence and learn from data to make predictions and decisions.


Upon completion, students will be able to design and implement machine learning solutions, critically evaluate AI systems, and understand both the potential and limitations of artificial intelligence in various domains including healthcare, finance, robotics, and social media

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Instructor

Artificial Intelligence & ML Expert

  • 4.9
  • 1,000+ Students

Mentor Richards is a skilled Data Analytics professional with a Master's in Big Data Analytics from the University of Derby, UK. He has expertise in various Engineering Tech Stacks, contributing to process optimization and market enhancement for organizations. His strategic approach focuses on promoting business growth and efficiency. Additionally, Richards is committed to knowledge-sharing and continuous learning within the tech community, advancing data analytics and technology.

Review
Adenike Idowu
4.9

Empowering and Educative!

I am grateful for the invaluable resources that Vephla University provided throughout my studies. The platform’s comprehensive curriculum was a perfect fit for my diploma program, offering both essential knowledge and specialized skills needed in my field. The self-paced learning format was incredibly beneficial, especially during my hectic finals season— I could manage my time while diving deep into complex topics.

  • Helpful
  • Not helpful
Wivina Omolemen
4.9

Life-Changing Educational Journey!

As a recent graduate, I can confidently say that Vephla University played an instrumental role in my academic success. The platform offered a diverse range of courses that not only enriched my knowledge but also developed my practical skills. The interactive learning modules made difficult concepts easier to grasp, and I loved how I could learn at my own pace.

  • Helpful
  • Not helpful
Apply Now

Don't miss out! Apply now and kickstart your journey!

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This course includes:

  • Live Sessions with AI Experts

  • Weekly Labs & Assignments

  • Peer Code Reviews and Feedback

  • Career Coaching and Mock Interviews

  • Portfolio Building for GitHub and LinkedIn

  • Internship Pathways and Industry Challenges

Certification

Graduates will earn the Vephla Nanodegree in Artificial Intelligence and Machine Learning, demonstrating job-ready competency for roles such as:

  • AI/ML Engineer
  • Data Scientist
  • AI Product Analyst
  • NLP Developer
  • AI Research Intern
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