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Advanced Artificial Intelligence Certification

4.6 (2012 ratings) 18805 learners [Rate this training]
  • Become a Certified Artificial Intelligence Engineer – Learn from Anywhere via Live Virtual Classes
  • Master In-Demand AI Skills & Accelerate Your Career in the Artificial Intelligence Domain
  • Industry-Aligned Curriculum – Designed by Experts to Match Current AI Job Market Demands
  • 30 Hours of Instructor-Led Advanced AI Training – Real-Time Interactive Learning Experience
  • Build Real-World AI Skills & Get Industry-Ready for Top Roles in AI, ML & Data Science
  • Get the Best Value – Advanced AI Certification at a Competitive Price

Enroll Now & Start Your Journey Toward a Future-Ready AI Career!

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 ā€” no travel required.
  • 30 Hours of Instructor-Led Training: Learn through expert-led sessions conducted over an interactive online training 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.
  • Lifetime Access to Learning Resources: Get unrestricted access to our Learning Management System (LMS) including class recordings, presentations, and course materials.
  • 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 : Oct 18 Nov 16 (Weekend)
Time : 08:30 PM to 11:30 PM (IST)
USD 499 399
Oct 18Sat Oct 19Sun Oct 25Sat Oct 26Sun Nov 01Sat Nov 02Sun Nov 08Sat Nov 09Sun Nov 15Sat Nov 16Sun
Class Timings :
Class Date (UTC): Saturday, 18th October 2025 - Sunday, 16th November 2025
03:00 PM - 06:00 PM
(UTC)
Class Date (Local time): Saturday, 18th October 2025 - Sunday, 16th November 2025
08:30 PM - 11:30 PM (IST)
Time zone: (UTC 05:30) India Standard Time

Advanced Artificial Intelligence Course Overview

Artificial Intelligence (AI) certification is becoming increasingly valuable in today's job market, as businesses across industries seek to integrate AI technologies into their operations. By obtaining an industry-recognized certification in Artificial Intelligence, you demonstrate to potential employers that you possess in-demand skills and the expertise required to work effectively with AI—helping you stand out from other candidates.

Our Advanced Artificial Intelligence Certification Course is one of the most popular, top-rated AI courses available today. It is designed to help you master essential skills in text processing and classification. The course covers core concepts such as Tokenization, POS tagging, Stemming, Lemmatization, and more. Developed through extensive research, it combines Natural Language Processing (NLP) and Deep Learning to meet modern industry standards—making it suitable for both professionals and beginners.

This advanced, hands-on training provides a deep understanding of key AI concepts including Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, and Syntax Tree Parsing using Python’s NLTK package. You’ll also explore RCNN, RNN, LSTM, CNN, RBM, and implement these using the latest TensorFlow 2.0 package. The course further empowers you to work with real-world projects, focusing on image pre-processing, classification, transfer learning, object detection, and computer vision—equipping you with practical skills and confidence.

The primary goal of Encertify's Advanced Artificial Intelligence Certification Course is to assist you advance your career by mastering the fundamentals of AI, earning an industry-recognized certification, and gaining exposure through real-world, project-based learning. Whether you're a newcomer or an experienced professional, this course is designed to help you get in-demand skills that align with the future of work.

Take the next step in your AI journey — whether you're just getting started or looking to deepen your expertise.

Join our Advanced Artificial Intelligence Certification Training, delivered entirely through Live Virtual Classes led by industry experts. Build real-world AI skills with hands-on projects and practical guidance in machine learning, deep learning, NLP, and more. This course is designed to help both aspiring professionals and experienced tech learners gain the in-demand knowledge needed to grow in the evolving AI landscape.

Enroll now to master essential AI concepts and tools — with flexible, instructor-led online training that accelerates your career goals.

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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 Advanced 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

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.
 

Advanced 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

Advanced Artificial Intelligence Certification & Exam

To earn the certification, you must attend all live sessions, complete the full course modules, and successfully finish all quizzes, hands-on projects, and lab exercises. You’ll also be required to submit a final project, which will be reviewed by our expert panel. Upon approval, you will be awarded an industry-recognized certification that validates your ability to build real-world AI solutions using Natural Language Processing, Deep Learning, and widely used Python frameworks — officially certifying you as an Artificial Intelligence Engineer.

Why choose our Advanced 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.

Low Cost

Without compromising on quality, we have priced our Advanced 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.

Lifetime Access

Enjoy lifetime access to our Learning Management System (LMS), where you can revisit class recordings and presentations anytime online.

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.

Advanced Artificial Intelligence Training Frequently Asked Questions

Yes, we do offer additional discounts to group and corporate training customers. Please email us at support@encertify.com 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.

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—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!

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.

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 building expertise in machine learning, deep learning, natural language processing, Python programming, and frameworks like TensorFlow—core skills needed to lead 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—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. 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 support@encertify.com 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 support@encertify.com 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 throughĀ ourĀ programs

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