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— pantech elearning —
Advance Certification Program in Industry
Artificial Intelligence
This type of AI is called “carrier-based” because it is built on a carrier, which is essentially a framework that provides a high-level representation of knowledge and reasoning.
45 Hours Total Length
Starts On May, 26th
Lifetime Access
everything you need to
Become a Successful AI Engineer ?
11+ Core Conepts
30+ Projects
Live & Recorded
Lifetime Access
Community Suported
PPTS & Downloadables
Becoming an AI Engineer.......
Step by Step
Step by Step Learning Process
Pre-Process & Understanding Data & Image
Programming
✓ Perform OOPS Concepts in Python
✓ Carry out cluster and factor analysis
✓ Machine Learning algorithms in Python, using NumPy, stats models, and sci-kit-learn
✓ Apply your skills to real-life cases & examples
Data Processing
✓ Fill up your resume data science tools & skills: Statistical analysis, image Pocessing
✓ Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau,
✓ Machine Learning with stats models and scikit-learn, Deep Learning with TensorFlow
✓ Learn the mathematics behind Machine Learning
✓ Start coding and learn statistical analysis & Image processing
Image Processing
✓ Read, write, and color conversion of images
✓ Apply Smoothing techniques for images
✓ Detecting edges from images
✓ Purpose of Morphology techniques
✓ Different Thresholding techniques
✓ Contour Detection Technique
✓ Apply color masking to different images
✓ What is Otsu thresholding?
✓ Inserting shapes and texts to images
✓ How to play video In Reverse mode?
✓ Optical character recognition (OCR)
✓ Histogram equalization using OpenCV
✓ Multiple color detection using HSV
Data Execution
✓ Deep Learning frameworks : Google’s TensorFlow & Keras
✓ Develop coding and solving tasks with Algorithms
✓ Unfold the power of deep neural networks
✓ Improve studying underfitting, overfitting, training, validation, n-fold cross-validation, & testing,
✓ Apply everything you have learned here to more and more real-life situations
Carrier Based Learning Process
Course Curriculum (45 Hrs)
- Python Basics
- Python Data Structures
- Python Fundamentals
- Advance Python (oops)
- Pandas for Machine Learning
- NumPy for Machine Learning
- Matplotlib
- Seaborn
- Scikit-Learn
- NLTK
- Keras
- Google Colab Notebook
- Python – Data collection, Data wrangling
- Python – Data Aggregation
- Python – Word Tokenization, Stemming, and Lemmatization
- Python – EDA and data visualization
- Python – Statistical Analysis
- Python – Types Of Distribution
- Python – Correlation, Chi-Square Test, Linear Regression
- Introduction of machine learning
- Pre-processing data for machine learning
- Handling missing value and outliers
- Label encoding the categorical variableFeature selection machine learning
- Supervised Learning – Classification and Regression
- Liver disease Prediction – (Logistic Regression)
- Covid 19 prediction
- Classification model selection For Breast Cancer – (Classification)
- Car price prediction
- Medical insurance price prediction
- Unsupervised Learning – Clustering
- Customer Segmentation
- Image segmentation
- Introduction of deep learning |How to install DL libraries
- Designing your first Neural network.
- Object recognition from pretrained model
- Image classification using CNN
- Hand written recognition
- Covid 19 prediction
- Breast cancer prediction
- Leaf disease detection using DL
- Drowsiness detection using DL
- Vehicle detection and counting
Image Pre- Processing
- Introduction of Computer Vision
- How to install Computer Vision Libraries
- Read, write and colour conversion of images
- Apply smoothing Techniques for Images
- Detecting Edges from images
- Purpose of Morphology Techniques
- Different thresholding techniques
- Contour Detection Technique
- Apply colour masking to different images
- What is Otsu thresholding?
- Histogram equalization using OpenCV
Image Processing Concepts
- Inserting shapes and texts to images
- How to play video In reverse mode?
- Optical character recognition
- Multiple colour detection using HSV
- Detection of lines using Hough lines
- Detection of multiple shapes using edge detection
- How to blend images using image pyramids
- Multiple filters used in image processing
- Background subtraction using Threshold
- Implementation of template matching
- Working with Scalar Invariant Feature Transform (SIFT)
- Working with PILLOW package
Image Processing Projects
- Object tracking based on color in opencv
- Face counting system using haar cascade
- Face recognition
- Age & Gender Detection
- Hand Gesture Detection
- Cartoonify an Image using OpenCV
- QR-code Recognition
- Face Mask Detection by using Deep Learning & Computer Vision
Want to Become a
AI Engineer ?
The course provides the entire Knowledge you need to become a data scientist Fill up your resume with in-demand data science tools & skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and sci-kit-learn, Deep Learning with TensorFlow
LEARNING ESSENTIALS
Benefits of Learning Course
> Essential Python concepts for Data science
> Data types, variables, loops, and functions
> Data manipulation Llibraries NumPy and Pandas
> Visualize Data Llibraries: Matplotlib and Seaborn
> Visualize Data using Tools Tableau and Power bi
> Machine learning with Python Supervised, Unsupervised Reinforcement Learning
> Techniques and Data analysis and Image Processing
Numbers of trust
Pantech E-Learning
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Expierience
Leaners From Pantech
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Students from all over india
Core Techologies
0
Software - Electrical - Electronics -Automations
Advance course completion
Samle Certificate
Meet your Mentor
philip Bedit
The course provides the entire Knowledge you need to become a data scientist Fill up your resume with in-demand data science tools & skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and sci-kit-learn, Deep Learning with TensorFlow
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Grab the Discount!
- 13 + Core Concepts (45 Hours total)
- Available from May, 26th
- Lifetime Access
- 1 Hrs Weekly Mentor Sessions
- Language: English
- Live Sessions with Mentor
Why | How | What?
Frequently Asked Questions
Artificial intelligence courses are educational programs that teach individuals about the concepts, techniques, and applications of artificial intelligence (AI) and machine learning (ML). These courses cover a variety of topics, including algorithms, data analysis, natural language processing, computer vision, and robotics.
Anyone with an interest in artificial intelligence can take these courses, including students, professionals, and hobbyists. Some courses may require previous knowledge of programming or computer science, while others may be designed for beginners.
By taking artificial intelligence courses, you can learn how to develop AI and ML applications, implement algorithms, analyze data, and design intelligent systems. You can also learn about the ethical and societal implications of AI, as well as how to integrate AI into various industries and fields.
The prerequisites for taking AI courses may vary depending on the course and the level of difficulty. However, some courses may require knowledge of programming languages such as Python, calculus, linear algebra, and statistics.
he length of time it takes to complete an AI course depends on the course’s level of difficulty and the amount of time you can dedicate to the course. Some courses may take a few weeks to complete, while others may take several months.
The cost of taking AI courses varies depending on the course and the platform. Some courses are free, while others may cost several hundred or thousand dollars. Some platforms offer financial aid and scholarships to eligible students.
Yes, many courses offer certificates of completion that you can use to demonstrate your skills and knowledge to potential employers or for personal satisfaction. Some courses may also offer industry-recognized certifications.
es, many employers recognize the value of artificial intelligence courses and consider them a valuable addition to a candidate’s resume. Completing an artificial intelligence course can demonstrate your commitment to learning and developing new skills, which can help you stand out in a competitive job market.
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