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The Artificial Intelligence Certification Online Course transforms you into a skilled AI professional, covering specializations like machine learning, deep learning, natural language processing (NLP), computer vision, neural networks, data science, and AI deployment strategies.
At our institute, we understand the rapidly evolving nature of the AI field. Our course curriculum spans a comprehensive range of topics, including the latest advancements and tools, all aligned with industry standards and recognized certifications. Whether you choose our offline or online training option, you’ll receive personalized guidance and hands-on projects to build and refine your practical AI skills.
Date:
Update Soon
Time
 10:00 AM TO 11:00 AM
60 DaysÂ
Learning Format:
Training / JOIP
Course Curriculum
India’s #1 Software Training Institute
At Quality Thought, we offer comprehensive Artificial Intelligence courses that cover the full spectrum of AI training modules and techniques. Our courses are meticulously designed to align with standard industry certifications, ensuring that our students are equipped with the most in-demand skills in the field of artificial intelligence.
Gain a strong foundation in AI concepts, algorithms, machine learning models, and industry best practices.
Apply AI techniques to real-world scenarios through hands-on exercises, coding assignments, and simulations using real datasets.
Engage in group discussions and projects to enhance teamwork and problem-solving skills.
Explore case studies from sectors like healthcare, finance, retail, and more to understand how AI addresses real business challenges and delivers solutions
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AI in Today’s World – An Overview
Significance of AI Across Industries
How AI Is Transforming Business and Society
Real-World Use Cases of AI (Healthcare, Finance, Retail, etc.)
The Future of AI – Trends and Innovations
Benefits and Risks of AI Implementation
Ethical and Social Implications of AI
Integrating AI into Business Processes
AI Adoption Challenges
Career Opportunities in AI
Foundations of Artificial Intelligence
Difference Between AI, Machine Learning, and Deep Learning
AI Development Life Cycle
Understanding AI Technologies (NLP, CV, RL, etc.)
Introduction to Data Science and Its Role in AI
Data Collection, Cleaning, and Preprocessing
Building a Strategic AI Roadmap
AI in Decision Making and Business Intelligence
Setting AI Project Objectives and KPIs
Ethical Considerations in AI Development
AI Budgeting, ROI, and Implementation Planning
Introduction to Machine Learning
Supervised, Unsupervised, and Reinforcement Learning
Regression, Classification, Clustering Algorithms
Introduction to Deep Learning and Neural Networks
Activation Functions, Backpropagation
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs), LSTM
Transfer Learning and Pre-trained Models
Hands-on Projects with Scikit-learn, TensorFlow, and Keras
Using ChatGPT and Generative AI in ML Workflows
5 Advanced Machine Learning Projects
Python Basics for AI
Data Structures, Loops, and Functions in Python
Working with Libraries: NumPy, Pandas, Matplotlib
Introduction to Jupyter Notebooks
Exploratory Data Analysis (EDA)
Data Visualization for AI Projects
Object-Oriented Programming in Python
Building and Hosting AI Projects
Version Control and Collaboration using Git
Deploying AI Models on Web with Flask/Django
Introduction to NLP and Text Mining
Tokenization, Lemmatization, Stopwords
Text Classification and Sentiment Analysis
Named Entity Recognition (NER)
Text Vectorization (TF-IDF, Word2Vec, BERT)
Chatbot Development Using NLP
NLP Tools: NLTK, SpaCy, HuggingFace Transformers
Multilingual NLP
Speech Recognition Basics
Final Project: Build an AI-Powered Chatbot
Introduction to Computer Vision
Image Classification and Object Detection
Image Preprocessing Techniques
Working with OpenCV and PIL
CNNs in Image Recognition
Facial Recognition and Image Segmentation
Applications in Healthcare, Security, and Retail
Building an Image Classifier with TensorFlow
Augmented Reality and Vision Systems
Final Project: Real-time Image Recognition System
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Quality Thought’s Artificial Intelligence Certification Process:
If the student misses out on attending any session, he or she can re-attend the session by:
1. Attending the same session in another batch if the student is attending the classroom-based session.
2. For online sessions, recording of the classes can be accessed by the student at all times to help revisit and listen the sessions missed out.
All discounts are subject to a case-to-case basis. Please feel free to meet our administration staff to have a better discussion on the same. We do offer a variety of discounts and concessions to our students coming in from different backgrounds.
For all corporate training requirements please feel free to get in touch with our administration staff managing corporate marketing and interaction. We have of the finest programs and offer to corporate with best-in-class programs.
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