Artificial Intelligence Course

Our Artificial Intelligence Course is designed to give you a strong foundation in building smart, automated, and human-like systems. You’ll learn essential AI concepts including search algorithms, knowledge representation, expert systems, natural language processing, computer vision, and neural networks. The course focuses on practical, real-world applications using Python-based AI frameworks. Through hands-on projects and case studies, you’ll gain the skills needed to design, develop, and deploy AI-driven solutions for business, automation, and advanced technology domains.

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Artificial Intelligence (AI) Certification Training Course

Our Artificial Intelligence Course is a comprehensive program designed to teach the intelligence behind modern smart systems. This course covers the full spectrum of AI — from fundamental concepts and problem-solving techniques to machine learning, deep learning, natural language processing (NLP), computer vision, and neural networks. Whether you're a beginner, student, software developer, engineer, or someone building a career in automation and intelligent systems, this course offers hands-on experience with real-world AI applications. You will learn how AI powers systems like self-driving cars, voice assistants, chatbots, face recognition systems, recommendation engines, and many more.

  • Introduction & Foundations
  • Mathematical & Logical Foundations
  • Machine Learning (ML) for AI
  • Deep Learning (DL)
  • Computer Vision
  • Natural Language Processing (NLP)
  • AI Tools & Technologies
  • Advanced AI Topics

Artificial Intelligence is transforming industries such as healthcare, finance, manufacturing, education, entertainment, robotics, and cybersecurity. This course enables learners to understand AI architecture, implement various AI models, and build intelligent systems using Python, TensorFlow, Keras, OpenCV, NLTK, Scikit-Learn, and other advanced tools. Through real-world case studies and projects, you will gain experience in building AI applications for voice recognition, image classification, predictive analytics, recommendation systems, NLP-based chatbots, and automated decision-making systems. By the end of the program, you will be well-equipped to take on AI engineering roles, research opportunities, and advanced ML/AI development projects Enroll now to become a Certified AI Professional and build intelligent systems using Machine Learning, Deep Learning, NLP, and Computer Vision!

What will I learn?

  • Complete understanding of Artificial Intelligence concepts
  • Ability to build ML & DL models from scratch
  • Skills to design and develop AI-driven systems
  • Hands-on experience with NLP, computer vision, and neural networks
  • Expertise with industry tools like TensorFlow, Keras, and OpenCV
  • Practical knowledge to pursue careers in AI engineering, ML development & automation

Requirements

  • Basic computer knowledge
  • Python programming basics (recommended)
  • Laptop/PC capable of running AI libraries and tools
  • Curiosity to learn, explore, and build real intelligent systems

Artificial Intelligence Course Content

Natural Language Process
NLTK
  • What is NLP?
  • Typical NLP Tasks
  • Morphology
  • Sentence Segmentation & Tokenization
  • Pattern Matching with Regular Expression
  • Stemming, Lemmatization
  • Stop Words Removal (English)
  • Corpora/Corpus
  • Context Window – Bigram, Ngram
  • Applications of NLP
  • Introduction to the NLTK Library
  • Processing Raw Text
  • Regular Expression
  • Normalising Text
  • Processing Raw Text – Tokenise Sentences
  • String Processing with Regular Expression, Normalising Text
  • Extracting Features from Text
  • Bag-of-Words(BoW), TF-IDF
  • Similarity score Cosine similarity
Advance NLP
  • Use Logistic Regression,
  • Naive Bayes and Word vectors to implement Sentiment Analysis
  • R-CNN
  • RNN
  • Encoder-Decoder
  • Transformer
  • Reformer
  • Embeddings
  • Information Extraction
  • LSTM
  • Attention
  • Named Entity Recognition
  • Transformers
  • HuggingFace
  • BERT
  • Text Generation
  • Named Entity Recognition
  • GRU
  • Siamese Network in TensorFlow
  • Self Attention Model
  • Advanced Machine Translation of Complete Sentences
  • Text Summarization
Prompt Engineering
  • Why Prompt Engineering?
  • ChatGPT
  • Few Standard Definitions:
  • Label, Logic
  • Model Parameters (LLM Parameters)
  • Basic Prompts and Prompt Formatting
  • Elements of a Prompt, Context
  • Task Specification
  • Constraints
  • General Tips for Designing Prompts:
  • Be Specific ,Keep it Concise
  • Be Contextually Aware
  • Test and Iterate
  • Prompt Engineering Use Cases
  • Information Extraction
  • Text Summarization
  • Question Answering
  • Code Generation
  • Text Classification
  • Prompt Engineering Techniques
  • N-shot Prompting
  • Zero-shot Prompting
  • Chain-of-Thought (CoT) Prompting
  • Generated Knowledge Prompting

Start Your Enrollment

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Why Choose Us ?

Our Artificial Intelligence (AI) Course is designed to help learners understand and build intelligent systems that think, learn, and make decisions. This course covers the full foundation of AI concepts, real-world applications, and hands-on model development used in industries like automation, robotics, healthcare, finance, and smart technologies. Whether you are a student, professional, or tech enthusiast, this program provides the essential knowledge and practical experience required to become an AI developer.

Diverse Career Opportunities in Artificial Intelligence: Exploring Transformative Roles in India’s Future-Ready Tech Industry

In India, proficiency in Artificial Intelligence unlocks some of the most innovative and future-focused career opportunities across sectors such as IT, healthcare, robotics, finance, automobile, education, and e-commerce. Global tech leaders like Google, Amazon, Microsoft, Meta, Intel, IBM, and OpenAI actively hire AI professionals to develop intelligent systems, automate processes, analyze large datasets, and create next-generation AI-driven products. AI specialists are highly valued for their ability to design algorithms, build intelligent models, develop autonomous solutions, and integrate machine learning, deep learning, and natural language processing into real-world applications. Their work powers advancements such as self-driving cars, smart assistants, generative AI models, robotics, cybersecurity systems, and personalized recommendation engines. Salary packages vary based on skill level and experience, but the average annual salary for an AI Engineer in India ranges from 1,000,000 to 1,600,000 INR, while in the USA it averages approximately $140,000 per year, reflecting strong global demand, competitiveness, and exceptional earning potential in the AI domain.

Get Artificial Intelligence Certification

Three easy steps will unlock your Artificial Intelligence Certification

  • Complete the online/offline Artificial Intelligence Course along with all required assignments.
  • Work on and successfully complete multiple industry-based AI, Machine Learning, and Automation projects.
  • Pass the Artificial Intelligence Certification Exam to earn your industry-recognized AI certificate.

The certificate for this Artificial Intelligence course will be delivered through our learning management system (LMS). You can download it anytime and add the certificate link to your CV, resume, or LinkedIn profile to showcase your AI skills and expertise.

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