Artificial Intelligence Course in Kenya

With our Artificial Intelligence Course in Kenya, spirants can now start their rewarding career in AI. There are 6 distinct course modules in our 24-hour program. The history and applications of artificial intelligence, machine learning fundamentals, Python for deep learning, TensorFlow and Keras for neural network building, are among the topics covered by participants. The course also covers deep learning network fundamentals with activation functions and tuning, as well as mathematics for deep learning. Our course helps candidates acquire the skills necessary to fulfil the expectations of contemporary business. Participants can obtain high-paying jobs with ease after completing this course.

Accredited By

  • 24 Hours Training
  • Online / Classroom / Onsite
  • 14 Sep, 2024 / 28 Sep, 2024
  • Additional Program Dates
  • 100K+ Happy Students

(600+ Google Reviews)

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What is the Artificial Intelligence Course in Kenya All About?

Our Artificial Intelligence Course in Kenya emphasises the fundamentals of AI principles and their applications across sectors. Neural networks, machine learning and deep learning are all covered in our course. Through our real-world case studies and practical activities, participants learn how to create intelligent virtual assistants and use them in diverse scenarios.

Why is the Artificial Intelligence Course in Kenya Important?

The Artificial Intelligence Course in Kenya caters to both beginners and experienced professionals aspiring to become AI experts. With the tremendous increase in demand for AI across the globe, our training gives participants the tools they need to land well-paying jobs. They learn about the latest technological advancements and remain up to date on industry trends.

How Does an Artificial Intelligence Course in Kenya Help You Get Hired by Companies?

Employers recruit AI specialists who have finished the Artificial Intelligence Course in Kenya. Companies are realising how important AI and data skills are becoming to their operations. They are looking for experts in a variety of coding languages who are also skilled in analysis, arithmetic, and communication. That being said, there are plenty of well-paying jobs available for those with this kind of experience.

Industry Trends


The field of AI is experiencing rapid expansion globally. Projections indicate a 9% surge in demand for artificial intelligence specialists by 2028. Businesses will continue to rely on these specialists to program machines as long as they pursue AI integration.

Market trends

According to Gartner's 2019 report,  AI applications have increased 270% in just 4 years, leading to a lack of professionals. The need for AI expertise will grow dramatically as AI is predicted to make up 80% of developing technologies in the upcoming years. According to the U.S. Bureau of Labor Statistics, there will be an additional 316,000 employment by 2029 due to a 22% growth rate for software engineers with an emphasis on artificial intelligence.

Salary Trends

A career in AI is one of the most lucrative career paths globally today. The demand for AI professionals has been escalating rapidly, leading to substantial salaries being offered by companies seeking experts with advanced AI skills. Our course provides participants with the opportunity to secure these high-salary job prospects easily upon completion.

Demand & Opportunities


The Advanced AI Certification gives an assurance of the necessary competency in related roles, thus making these opportunities easier to avail.

A few of the most popular Artificial Intelligence jobs available are as follows:

  1. Software Architect
  2. Big Data Engineer
  3. Full Stack Developer
  4. Product Manager
  5. UX Developer

Course Outcome


Successful completion of the Artificial Intelligence Course in Kenya will help in the following ways:

  • Understand AI Fundamentals: Understand AI's historical development, and key domains and recognise its modern significance and its limitations in common sense reasoning and ethical concerns
  • Master Machine Learning Essentials: Grasp foundational ML concepts including objective functions, regularisation, popular metrics, optimizers and neural network principles.
  • Learn Python Essentials and Data Handling: Develop expertise in Python fundamentals, array manipulation, and efficient package management crucial for deep learning projects.
  • Explore Core Concepts and Build Neural Networks: Dive into TensorFlow's core concepts, autograph, eager execution and seamlessly integrate Keras for efficient neural network development and training.
  • Develop Mathematical Foundations for Deep Learning: Acquire proficiency in linear algebra, calculus essentials, and probability basics essential for optimising and understanding deep learning algorithms.
  • Grasp Core Concepts and Activation Functions: Master key concepts of deep learning networks alongside exploring activation functions crucial for network performance optimisation.

Course Module


  • History of Artificial Intelligence (AI)
  • Five domains of AI
  • Why AI now?
  • Limitation of AI
  • Python Programming Primer
  • Installing Python, Programming Basics, Native Data types
  • Class, Inheritance and Magic Functions
  • Python Classes, Inheritance Concepts, Magic Functions
  • Special Functions in Python
  • Overview, Array, selecting data, Slicing, Iterating, Array Manipulations, Stacking, Splitting arrays, Key Functions
  • Decorators and Special Functions
  • Decorators implementation with class
  • Context Manager ‘with’ in Python
  • Context Manager Application
  • Exception Handling
  • Try and Catch block
  • Python Package Management
  • Bundling and export Python packages
  • Linear Algebra
  • Vectors, Matrices, Linear Transformation, Eigen Vectors, Matrix Operations, Special Matrices
  • Calculus – Derivatives: Calculus essentials, Derivatives and Partial Derivatives, Chain Rule, Derivatives of special functions
  • Probability Essentials: Probability basics and notations, Conditional probability, Essential Probability theorems for Machine Learning
  • Special functions: Relu, Sigmoid, SoftMax, Popular Loss Functions – Cross-Entropy, Quadratic Loss Functions
  • Machine Learning Primer
  • Machine Learning core concepts, scalable algorithms, and project workflow.
  • Objective Functions and Regularization
  • Understanding the Objective Function of ML Algorithms
  • Metrics, Evaluation Methods and Optimizers
  • Popular Metrics in Detail: R2 Score, RMSE, Cross-Entropy, Precision, Recall, F1 Score, ROC-AUC, SGD, ADAM
  • Artificial Neural Network
  • ANN in detail, Forward Pass and Back Propagation
  • Machine Learning vs. Deep Learning
  • Core difference b/w ML and DL from an implementation perspective
  • TensorFlow 2.0 Basics
  • TensorFlow core concepts, Tensors, core APIs
  • Concrete Functions, Data Types, Control Statements
  • Polymorphic Functions, Concrete Functions, Datatypes, Control Statements, NumPy, Pandas
  • Autograph eager execution
  • tf.function autograph implementation
  • Keras (TensorFlow 2.0 Built-in API) Overview
  • Sequential Models, configuring layers, loading data, train and test, complex models, callbacks, save and restore Neural Network weights
  • Building Neural Networks in Keras
  • Building Neural networks from scratch in Keras
  • Deep Learning Network Concepts
  • Core Concepts of Deep Learning Networks
  • Deep Dive into Activation Functions
  • Building a simple Deep Learning Network
  • Tuning Deep Learning Network 

Program Dates


14 Sep
  • 10:30 AM
  • Sat
  • Classroom
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22 Sep
  • 09:00 AM
  • Sun
  • Online Live
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28 Sep
  • 11:00 AM
  • Sat
  • Classroom
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Expert Instructors & Teaching Methods


Learners Point has a reputation for high-quality training that makes a difference in people’s lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Our Trainer

Why Count on Learners Point?


Being the leading providers of the Artificial Intelligence Foundation Course in Kenya, at Learners Point we help professionals master the necessary skill sets to complete the Artificial Intelligence Foundation certification.

Following are the USPs our Artificial Intelligence Course in Kenya offers the following:

  • We look at real-world scenarios organisations face and formulate our Artificial Intelligence Foundation training course evaluating practical requirements
  • Apart from theoretical knowledge, we also focus on practical case studies to give learners a reality check and insight into what exactly will be asked of them while delivering in a demanding role
  • Our bespoke Artificial Intelligence Foundation course also equips learners with hands-on experience by offering assignments related to the actual work environment
  • Apart from organising group sessions, we also offer a guided learning experience to enhance the quality of our Artificial Intelligence Foundation training program
  • We also take a discrete approach to career guidance so that one can be successfully placed as a professional

Learners Experience


“Thanks to Learners Point, I now have the expertise to use AI in my profession. Their case study-solving classes are the best feature of the course. Overall, the course was beneficial in improving my career prospects."

Hazel Koech

UX Developer

“Investing in this course was worth it. The trainer taught me how to incorporate AI into my product management. The learning experience in this institution was extremely satisfying. "

Paul Okoth

Product Manager

“Enrolling in this AI course at Learners Point Academy was the best career decision. I can now integrate AI technologies seamlessly into web development projects, which improves the user experience and functionality.”

Rebecca Simiyu

Full Stack Developer

“Thanks to this course, I feel more confident now. My skills in Machine Learning, Python, TensorFlow, and Neural Networks have developed. Overall the course was very engaging.”

Vanessa Ngugi

Software Architect

“I had a great learning experience at Learners Point Academy. The Artificial Intelligence Course in Kenya helped me to learn the importance and basics of AI and how to integrate it into my daily work."

Samuel Wekesa

Operations Manager

Our Graduates


Our graduates are from big companies, small, companies, they are founders, career changers and life long learners. Join us and meet your tribe!

FAQs on Artificial Intelligence Course in Kenya

In the Artificial Intelligence Course in Kenya, candidates learn about the following concepts:

1)Introduction to Artificial Intelligence
2)Machine Learning Primer
3)Advanced Python For Deep Learning
4)TensorFlow 2.0 and Keras for Deep Learning
5)Mathematics for Deep Learning
6)Deep Learning Foundation

At Learners Point Academy, the training program for the Artificial Intelligence Course in Kenya is very immersive and engaging. In addition to the course materials, participants benefit from interactive elements like case studies, group discussions, Q&A sessions, and unique doubt-clearing sessions.

At Learners Point Academy, if a participant doesn’t wish to proceed with the Artificial Intelligence Course in Kenya after registration for any reason, he or she is eligible for a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the registration date. The refund will be processed within 4 weeks from the day of exit.

At Learners Point Academy, the duration of the Artificial Intelligence Course in Kenya is 24 hours.

At Learners Point Academy, participants can get online classes for the  Artificial Intelligence Course in Kenya.

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