CONTACT
ALL COURSES
CATEGORIES

Certification Courses

Artificial Intelligence Certification

4.6 (2012 ratings) 18805 learners [Rate this training]

Master Essential Skills in Artificial Intelligence and Prepare for High-Growth AI Careers

  • Learn through instructor-led Live Virtual Classes with interactive, real-time learning.
  • Benefit from an industry-aligned curriculum covering Artificial Intelligence, Machine Learning, Deep Learning, NLP, TensorFlow, and Python.
  • Build practical AI expertise through hands-on learning, case studies, and real-world projects. 
  • Build the knowledge and practical skills needed to successfully earn an industry-recognized Artificial Intelligence certification.
  • Complete 30 hours of instructor-led training designed to help you build practical skills for AI, Machine Learning, and Data Science roles.
  • Access high-quality Artificial Intelligence training at a competitive price.

Enroll Today and Take the Next Step Towards a Successful Career in Artificial Intelligence.

Artificial Intelligence

Artificial Intelligence Training Options

Live-Virtual Class
  • Attend from the Comfort of Your Home: Join our Live Virtual Classes (LVC) delivered entirely online with no travel required.
  • 30 Hours of Expert-Led Training: Gain deep knowledge through interactive sessions conducted by experienced industry professionals on a live virtual platform.
  • Flexible Scheduling Options: Choose between 10 sessions of 3 hours each or 15 sessions of 2 hours each to suit your availability.
  • Real-World Case Studies & Practical Labs: Learn through hands-on practice using Python (Jupyter Notebook / Google Colab) and real-life AI scenarios.
  • Project-Based Learning: Gain practical experience with projects focused on Natural Language Processing (NLP) and Deep Learning.
  • Certification Based on Project Completion: Earn the Artificial Intelligence Engineer Certification upon successful completion of the final capstone project.
  • 24x7 Lifetime Support: Access the dedicated ticket-based support system anytime, even after course completion.
Date : Jul 17 Aug 15 (Weekend)
Time : 08:30 PM to 11:30 PM (CDT)
USD 499 399
Jul 17Fri Jul 18Sat Jul 24Fri Jul 25Sat Jul 31Fri Aug 01Sat Aug 07Fri Aug 08Sat Aug 14Fri Aug 15Sat
Class Timings :
Class Date (UTC): Saturday, 18th July 2026 - Sunday, 16th August 2026
01:30 AM - 04:30 AM
(UTC)
Class Date (Local time): Friday, 17th July 2026 - Saturday, 15th August 2026
08:30 PM - 11:30 PM (CDT)
Time zone: (UTC -05:00) Central Daylight Time

Artificial Intelligence Course Overview

Artificial Intelligence (AI) is changing the way businesses work, solve problems, and make decisions using data. Organizations across many industries are using AI to automate tasks, improve processes, enhance customer experiences, analyze large amounts of data, and drive innovation. As the use of AI continues to grow, there is an increasing demand for professionals with practical AI skills. Building these skills and earning an industry-recognized Artificial Intelligence certification can strengthen your professional profile and demonstrate your commitment to developing the AI knowledge and skills that employers value.

Our Artificial Intelligence Certification Training is one of our popular Live Virtual Class (LVC) programs designed to help you master essential skills required to build intelligent AI solutions through instructor-led training. The training combines theoretical concepts with practical implementation through hands-on learning, case studies, and real-world projects. You will gain practical knowledge and learn how to apply AI techniques to solve real business problems.

Recognized among the top-rated courses, this training helps you get in-demand AI skills across a wide range of industries. It helps you strengthen your technical expertise while building practical knowledge that can be applied across multiple business domains. Whether you want to improve your existing skills, or move into an AI-related role, this training gives you the practical knowledge to achieve your career goals.

Take the next step in your AI journey. Whether you are just getting started or looking to deepen your expertise, this training can help you build practical Artificial Intelligence skills and prepare for new career opportunities in the growing field of AI.

Course Outcomes

By the end of this Artificial Intelligence Certification Training, you will be able to:

  • Understand the core concepts and applications of Artificial Intelligence and Machine Learning.
  • Apply Natural Language Processing (NLP) techniques to process and analyze text data.
  • Perform Text Mining and Text Classification using industry-relevant methods.
  • Build and evaluate Deep Learning models using Neural Networks.
  • Develop Computer Vision and Image Processing applications for image classification and object detection.
  • Use TensorFlow and Python to build Artificial Intelligence solutions.
  • Apply AI techniques to solve practical business problems through hands-on implementation.
  • Gain practical experience by working on real-world projects and case studies.
  • Build the knowledge and confidence needed to pursue Artificial Intelligence careers and industry-recognized certifications.

What You'll Learn

During this Live Virtual Class (LVC), you will learn how to:

  • Understand the fundamentals of Artificial Intelligence and Machine Learning.
  • Build Artificial Intelligence applications using Python.
  • Apply Text Mining techniques to extract meaningful information from text data.
  • Use Natural Language Processing (NLP) for language-based AI applications, including Sentiment Analysis, Language Translation, and Text Summarization.
  • Build Deep Learning models using Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Autoencoders.
  • Work with TensorFlow and OpenCV to develop Artificial Intelligence and Computer Vision applications.
  • Understand image processing techniques, including Object Detection, Image Segmentation, and Image Classification.
  • Implement AI solutions through hands-on learning, case studies, and real-world projects.
  • Understand how Artificial Intelligence is applied across different industries.

Why Choose Our Course

Choose our Artificial Intelligence Certification Training to:

  • Master essential skills in Artificial Intelligence through instructor-led Live Virtual Classes.
  • Learn from experienced instructors with practical industry knowledge.
  • Build practical AI solutions through hands-on learning, case studies, and real-world projects.
  • Gain experience with Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, TensorFlow, and Python.
  • Develop practical skills that can be applied across different industries.
  • Strengthen your preparation for industry-recognized Artificial Intelligence certifications.
  • Build the knowledge and confidence to work on AI-driven business solutions.

Who Should Attend

This Artificial Intelligence Certification Training is suitable for:

  • Freshers
  • Python Developers
  • Researchers
  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers
  • NLP Engineers
  • Software Testers
  • Software Developers
  • AI Enthusiasts
  • Software Engineers
  • Professionals looking to build AI skills

Prerequisites

Prior knowledge of Python and Machine Learning can be helpful, but is not mandatory for attending this Artificial Intelligence Certification Training. To help you prepare for the training, free self-paced prerequisite videos on Python and Machine Learning are available through the Learning Management System (LMS).

Career Opportunities & Outcomes

Artificial Intelligence is creating exciting career opportunities across industries such as technology, healthcare, banking and financial services, retail, manufacturing, telecommunications, and many others. Organizations are looking for professionals who can apply AI technologies to improve business processes, solve complex problems, and support data-driven decision-making.

After completing this Artificial Intelligence Certification Training, you may be well-positioned to pursue roles such as:

  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • NLP Engineer
  • Deep Learning Engineer
  • Data Scientist

The practical knowledge and hands-on experience gained through this training can help you build the skills needed to contribute to AI initiatives and support your long-term career growth.

The Next Steps

Artificial Intelligence is shaping the future of businesses across the world. Building practical AI skills today can help you stay relevant, solve real business challenges, and prepare for opportunities in one of the fastest-growing technology fields.

Take the next step towards achieving your Artificial Intelligence career goals. Join our Artificial Intelligence Certification Training Live Virtual Class to Master essential skills, work on real-world projects, and gain practical experience in AI, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and TensorFlow.

Start your Artificial Intelligence learning journey with one of our popular Live Virtual Class programs. Learn from experienced instructors, strengthen your practical AI skills through hands-on learning and real-world projects, and prepare yourself for success in the rapidly growing field of AI.

Enroll Today and Build In-Demand Artificial Intelligence Skills.

Show Classes
Want to check out the Artificial Intelligence classes?
Query
Do you have any query for us?

Artificial intelligence forms the basis for all computer learning, allows organizations to improve core business processes and is the future of all complex decision making. The best way to land you a good job with a handsome salary in this domain is to get Artificial intelligence (AI) Certification. AI certification is becoming increasingly valuable in today's job market, as businesses across all industries are seeking to integrate AI technology into their operations. Obtaining an AI certification can demonstrate to potential employers that you possess the skills and knowledge necessary to work with AI and can help you stand out from other candidates.

Following are some potential benefits of obtaining an AI certification: 

Demonstrates expertise: An AI certification helps to demonstrate your proficiency in a specific area of AI technology, such as machine learning or natural language processing. 

Increased job opportunities: Having an AI certification can offer job opportunities that require knowledge of AI technology. This can include jobs in data analysis, software development, and other technical roles. 

Higher salary potential: In general, individuals with specialized technical skills, such as AI, can command higher salaries than those without such skills. An AI certification can help increase your earning potential. 

Competitive advantage: An AI certification can help you stand out from other candidates when applying for jobs or pursuing business opportunities. 

Professional development: Pursuing an AI certification can help you continue to learn and grow in your field, keeping you up-to-date with the latest technology and trends. 

Overall, obtaining an AI certification will be a valuable investment in your career and help you stay competitive in the rapidly evolving job market.

The Artificial Intelligence certification course is suitable for anyone who wants to stay up-to-date with the latest advances in AI and wants to build the skills needed to develop and deploy intelligent systems.

This course will be ideal for the following professionals.

  • Freshers
  • Python Developers
  • Researchers
  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers
  • NLP Engineers
  • Software Testers
  • Software Developers
  • AI Enthusiasts
  • Software Engineers
  • Professionals looking to build AI skills

It will be helpful to have prior knowledge of Python and Machine Learning (ML); however, it is not at all mandatory. To enable you to refresh your skills in Python and ML, we will provide self-paced videos free as prerequisites in your LMS.

The course focuses on providing hands-on experience to make you ready for any AI related opportunity. Further, you will learn the fundamentals of Natural Language Processing (NLP), sentiment analysis, language translation, text summarization, deep learning, convolutional neural networks, recurrent neural networks, and autoencoders. You will also work with the OpenCV library, object detection, image segmentation, and image classification along with various real-life projects.

Following are the system requirements needed for taking the course:

  • A system with an Intel i3 processor or above
  • A minimum of 4GB RAM (8GB or above is recommended for faster processing)
  • 50 GB HDD Storage
  • Operating system: 32-bit or 64-bit

You will complete your Assignments/Case Studies using Python Jupyter Notebook/Google Colab. Detailed step-by-step installation guides are made available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.
 

Artificial Intelligence Certification Course Topics

  • Overview of Text Mining
  • Need of Text Mining
  • Natural Language Processing (NLP) in Text Mining
  • Applications of Text Mining
  • OS Module
  • Reading, Writing to text and word files
  • Setting the NLTK Environment
  • Accessing the NLTK Corpora
  • Tokenization
  • Frequency Distribution
  • Different Types of Tokenizers
  • Bigrams, Trigrams & Ngrams
  • Stemming
  • Lemmatization
  • Stopwords
  • POS Tagging
  • Named Entity Recognition
  • Syntax Trees
  • Chunking
  • Chinking
  • Context Free Grammars (CFG)
  • Automating Text Paraphrasing
  • Machine Learning: Brush Up
  • Bag of Words
  • Count Vectorizer
  • Term Frequency (TF)
  • Inverse Document Frequency (IDF)
  • What is Deep Learning?
  • Curse of Dimensionality
  • Machine Learning vs. Deep Learning
  • Use cases of Deep Learning
  • Human Brain vs. Neural Network
  • What is Perceptron?
  • Learning Rate
  • Epoch
  • Batch Size
  • Activation Function
  • Single Layer Perceptron
  • Introduction to TensorFlow 2.x
  • Installing TensorFlow 2.x
  • Defining Sequence model layers
  • Activation Function
  • Layer Types
  • Model Compilation
  • Model Optimizer
  • Model Loss Function
  • Model Training
  • Digit Classification using Simple Neural Network in TensorFlow 2.x
  • Improving the model
  • Adding Hidden Layer
  • Adding Dropout
  • Using Adam Optimizer
  • Image Classification Example
  • What is Convolution
  • Convolutional Layer Network
  • Convolutional Layer
  • Filtering
  • ReLU Layer
  • Pooling
  • Data Flattening
  • Fully Connected Layer
  • Predicting a cat or a dog
  • Saving and Loading a Model
  • Face Detection using OpenCV
  • Regional-CNN
  • Selective Search Algorithm
  • Bounding Box Regression
  • SVM in RCNN
  • Pre-trained Model
  • Model Accuracy
  • Model Inference Time
  • Model Size Comparison
  • Transfer Learning
  • Object Detection – Evaluation
  • mAP
  • IoU
  • RCNN – Speed Bottleneck
  • Fast R-CNN
  • RoI Pooling
  • Fast R-CNN – Speed Bottleneck
  • Faster R-CNN
  • Feature Pyramid Network (FPN)
  • Regional Proposal Network (RPN)
  • Mask R-CNN
  • What is Boltzmann Machine (BM)?
  • Identify the issues with BM
  • Why did RBM come into the picture?
  • Step-by-step implementation of RBM
  • Distribution of Boltzmann Machine
  • Understanding Autoencoders
  • Architecture of Autoencoders
  • Brief on types of Autoencoders
  • Applications of Autoencoders
  • Which Face is Fake?
  • Understanding GAN
  • What is Generative Adversarial Network?
  • How does GAN work?
  • Step by step Generative Adversarial Network implementation
  • Types of GAN
  • Recent Advances: GAN
  • Where do we use Emotion and Gender Detection?
  • How does it work?
  • Emotion Detection architecture
  • Face/Emotion detection using Haar Cascade
  • Implementation on Colab
  • Issues with Feed Forward Network
  • Recurrent Neural Network (RNN)
  • Architecture of RNN
  • Calculation in RNN
  • Backpropagation and Loss calculation
  • Applications of RNN
  • Vanishing Gradient
  • Exploding Gradient
  • What is GRU?
  • Components of GRU
  • Update gate
  • Reset gate
  • Current memory content
  • Final memory at current time step
  • What is LSTM?
  • Structure of LSTM
  • Forget Gate
  • Input Gate
  • Output Gate
  • LSTM architecture
  • Types of Sequence-Based Model
  • Sequence Prediction
  • Sequence Classification
  • Sequence Generation
  • Types of LSTM
  • Vanilla LSTM
  • Stacked LSTM
  • CNN LSTM
  • Bidirectional LSTM
  • How to increase the efficiency of the model?
  • Backpropagation through time
  • Workflow of BPTT
  • Auto Image Captioning
  • COCO dataset
  • Pre-trained model
  • Inception V3 model
  • The architecture of Inception V3
  • Modify the last layer of a pre-trained model
  • Freeze model
  • CNN for image processing
  • LSTM or text processing
  • Why is OpenCV used?
  • What is OpenCV
  • Applications
  • Demo: Build a Criminal Identification and Detection App
  • Use Case: Amazon’s Virtual Try-Out Room.
  • Why Deploy models?
  • Model Deployment: Intuit AI models
  • Model Deployment: Instagram’s Image Classification Models
  • What is Model Deployment
  • Types of Model Deployment Techniques
  • TensorFlow Serving
  • Browser-based Models
  • What is TensorFlow Serving?
  • What are Servables?
  • Demo: Deploy the Model in Practice using TensorFlow Serving
  • Introduction to Browser based Models
  • Demo: Deploy a Deep Learning Model in your Browser.
  • Converting text to features and labels
  • Multinomial Naive Bayes Classifier
  • Leveraging Confusion Matrix
  • Sentiment Classification on Movie Rating Dataset

Artificial Intelligence Certification & Exam

To earn the certification, you must attend all Live Virtual Class sessions, complete all course modules, and successfully finish the quizzes and hands-on projects. You will also be required to submit a final capstone project, which will be reviewed by our expert panel.

Upon successful approval of your capstone project, you will be awarded the industry-recognized Artificial Intelligence Engineer certification. It validates your ability to build real-world AI solutions using Natural Language Processing, Deep Learning, and widely used Python frameworks.

Why choose our Artificial Intelligence Course?

Most Popular

A top choice for professionals aspiring to become Artificial Intelligence Engineers.

Convenient Schedule

We offer flexible scheduling options, including both weekday and weekend classes to suit the needs of working professionals.

Competitive Pricing

Without compromising on quality, we have priced our Artificial Intelligence Training courses very competitively. We guarantee that you will find us more economical than any other training provider.

 

Unmatched Quality

We, along with our affiliate partners, are dedicated to creating high-quality study materials and delivering an exceptional learner experience. All content adheres to strict quality standards to ensure accuracy and reliability.


 

Course Design

Backed by years of experience in professional training, our courses are designed not only to help you prepare to be an Artificial Intelligence Engineer, but also to equip you with real-world best practices.

Trainers

All our trainers are certified professionals with deep expertise in various industry-standard frameworks. They bring over a decade of experience in both consulting and training, and are passionate about sharing their knowledge to help professionals advance their careers.

Customer Satisfaction

We’re here 24/7 to ensure you’re heard and supported, no matter what questions or doubts you may have. Our team is committed to delivering exceptional customer service to every individual and organization we serve.

Artificial Intelligence Training Frequently Asked Questions

Getting certified as an Artificial Intelligence (AI) Engineer is a strategic move for anyone looking to thrive in today’s technology-driven world. Here's why it’s worth considering:

1. Validate Your Skills with Industry-Recognized Certification: Certification acts as formal proof of your AI expertise. It shows employers and peers that you have mastered key AI concepts and tools, and that you are ready to contribute meaningfully to AI-driven projects.

2. Boost Your Career Prospects: With AI adoption rapidly expanding across sectors, certified professionals enjoy better job prospects, higher salary potential, and faster career advancement. Certification helps you stand out in a crowded job market.

3. Master Essential Skills in AI: A certification program helps you gain deep, structured knowledge in areas like:

  • Machine learning & deep learning
  • Natural Language Processing (NLP)
  • Neural networks (CNN, RNN, LSTM)
  • Python and TensorFlow
  • Real-world problem solving

These are essential skills for any AI Engineer working in real-world environments.

4. Open Doors Across Industries: AI Engineers are in demand across diverse industries: healthcare, finance, retail, logistics, education, and tech. A certification broadens your opportunities, making you job-ready across domains.

5. Build Confidence Through Real-World Projects: Hands-on training and practical case studies included in most certification programs help bridge the gap between theory and application, thus making you confident to handle AI challenges in the workplace.

6. Join a Growing Global Community: By earning a recognized certification, you join a global network of AI professionals, experts, and hiring managers. This increases your visibility and opportunities for collaboration, mentoring, and job referrals.

7. Future-Proof Your Career: AI is reshaping how businesses operate. Certification ensures you’re not left behind and gives you the tools to adapt and grow with evolving technologies.

Ready to unlock top career opportunities in AI? Get certified, master essential AI skills, and become a part of the next generation of AI innovators. Enroll now and take the first step toward your future!

Becoming an Artificial Intelligence (AI) Engineer can significantly boost your career by opening doors to some of the most exciting and in-demand roles in the tech industry. Here's how:

1. Get in-demand skills for high-growth roles: AI Engineers are among the most sought-after professionals today, with job openings across industries like finance, healthcare, retail, automotive, and tech. As businesses increasingly adopt AI, demand for skilled talent continues to surge.

2. Unlock lucrative career opportunities: AI Engineering roles consistently rank among the top-paying jobs in technology. With the right skills, you can pursue roles like:

  • AI/ML Engineer
  • Data Scientist
  • NLP Specialist
  • Computer Vision Engineer
  • AI Researcher

3. Accelerate your career trajectory: Whether you're a fresher or an experienced professional, moving into AI helps you future-proof your career. The AI field offers immense growth potential, from hands-on technical roles to strategic leadership positions.

4. Master essential skills to stay ahead: Becoming an AI Engineer means developing expertise in machine learning, deep learning, natural language processing, Python programming, and frameworks like TensorFlow, all of which are essential for leading real-world AI initiatives.

5. Gain industry-recognized certifications: Holding a certification from a reputed training provider like Encertify gives you a competitive edge. It validates your skills and demonstrates your commitment to professional growth.

6. Work on real-world projects that matter: AI Engineers often work on impactful, cutting-edge projects such as predictive analytics, autonomous systems, chatbots, facial recognition, and recommendation engines. These projects not only enhance your skills but also build a strong portfolio.

7. Expand into multiple domains: AI skills are transferable across industries. With experience, you can shift domains without starting from scratch, thereby opening up flexibility in your career path.

Want to fast-track your journey? Master essential AI skills, get certified, and build real-world expertise. Start your AI career transformation today.

Yes, we do offer additional discounts to group and corporate training customers. Please email us at [email protected] to find out more about our group discount offerings.

The Artificial Intelligence Engineer certification is an industry-recognized credential that validates your ability to design, build, and deploy AI-driven applications. It confirms your expertise in areas like machine learning, deep learning, natural language processing, and computer vision using modern AI tools and frameworks.

This certification emphasizes hands-on, project-based learning and is aligned with the latest industry trends. It is considered one of the top-rated and most popular certifications for professionals aiming to master essential AI skills and stay competitive in the tech-driven job market.

Artificial Intelligence (AI) is a broad field with many subfields, and the skills required for an AI engineer can vary depending on the specific area of expertise. However, there are some basic skills that most AI engineers should possess:

  • Strong Programming Skills: AI engineers need to have a strong foundation in programming languages such as Python, C++, Java, or R. This includes knowledge of data structures, algorithms, and object-oriented programming.
  • Machine Learning: AI engineers must have a solid understanding of the concepts and algorithms of machine learning. This includes knowledge of supervised and unsupervised learning, deep learning, and natural language processing (NLP).
  • Data Structures and Algorithms: A deep understanding of data structures and algorithms is essential for designing and implementing efficient algorithms for large data sets. This also includes knowledge of big data technologies and distributed computing.
  • Statistics and Probability: Knowledge of statistics and probability is essential for understanding and designing machine learning algorithms. AI engineers need to know concepts like hypothesis testing, regression analysis, and Bayesian networks.
  • Problem Solving: AI engineers must have strong problem-solving skills to design and implement complex AI systems. They must be able to identify problems, break them down into smaller components, and develop solutions.
  • Creativity: AI engineers must be creative thinkers to develop novel solutions to complex problems. They should be able to think outside the box and come up with innovative ideas.
  • Ethics and Accountability: AI engineers must understand the ethical implications of their work and the impact it has on society. They must ensure their AI systems are transparent, explainable, and accountable.

Yes. This is an industry-accepted credential valued by employers worldwide. It assures recruiters that you possess hands-on experience with current AI tools and techniques aligned with professional standards.

There is no separate fee for the Artificial Intelligence Engineer certification exam. The certification is awarded upon the successful review of the final project submitted at the end of the training program. As such, the course fee includes the certification evaluation, making it a cost-effective way to earn an industry-recognized credential.

Absolutely. Whether you're a beginner aiming to break into the field or an experienced professional looking to upskill, this certification helps you build in-demand capabilities and gain recognition for your AI proficiency.

The certification typically does not expire, but it's recommended to stay updated with evolving technologies by taking up advanced or specialty AI certifications as your career progresses.

Use the "Submit your query"section in this page or check "Contact Us" section. Alternatively, please send an email to [email protected] to find out more about our course offerings.

If you're unemployed right now, or you're a student taking this course for career growth, we do provide additional discounts for you on selected courses. Please email [email protected] to avail this benefit and discount coupon.

Note: These discounts are available on selected courses only.

We do not offer placement or placement assistance services at this time. However, our training is designed to equip you with in-demand skills, hands-on experience, and certification readiness to help you confidently pursue new career opportunities. Many of our learners have successfully transitioned into new roles or advanced in their careers based on the knowledge and certifications gained through our programs

Explore More Certification Courses

Machine Learning with Mahout

Machine Learning with Mahout

4.2 (2136 Ratings) 19411 Learners
Graphical Models

Graphical Models

4.4 (238 Ratings) 12116 Learners
Reinforcement Learning

Reinforcement Learning

4.5 (1041 Ratings) 12526 Learners
Big Data Hadoop

Big Data Hadoop

4.6 (4368 Ratings) 24450 Learners
MLOps Certification

MLOps Certification

4.3 (2200 Ratings) 7553 Learners
Lean Six Sigma Green Belt (LSSGB)

Lean Six Sigma Green Belt (LSSGB)

4.6 (9625 Ratings) 57145 Learners
Six Sigma Green Belt (SSGB)

Six Sigma Green Belt (SSGB)

4.6 (12264 Ratings) 74278 Learners

Popular Courses

Certified Scrum Product Owner (CSPO)

Certified Scrum Product Owner (CSPO)

4.8 (3806 Ratings) 20155 Learners
Lean Six Sigma Black Belt (LSSBB)

Lean Six Sigma Black Belt (LSSBB)

4.4 (6482 Ratings) 34739 Learners
Lean Six Sigma Green Belt (LSSGB)

Lean Six Sigma Green Belt (LSSGB)

4.6 (9625 Ratings) 57145 Learners
Certified ScrumMaster (CSM)

Certified ScrumMaster (CSM)

4.9 (5106 Ratings) 26569 Learners
MLOps Certification

MLOps Certification

4.3 (2200 Ratings) 7553 Learners
Professional Scrum Product Owner (PSPO)

Professional Scrum Product Owner (PSPO)

4.8 (24658 Ratings) 33752 Learners
Agentic AI Certification Course

Agentic AI Certification Course

4.8 (3442 Ratings) 14472 Learners
Scrum Master Certified (SMC)

Scrum Master Certified (SMC)

4.9 (34125 Ratings) 220728 Learners
Scrum Product Owner Certified (SPOC)

Scrum Product Owner Certified (SPOC)

4.7 (26752 Ratings) 161268 Learners

Artificial Intelligence Certification Course in other cities :

Encertify Rating
4.6 out of 5 (593906 ratings)