)
3K+
See why over 25,000+ Students choose ACTE
Curriculam Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculam
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
-
30+ Case Studies & Projects
-
9+ Engaging Projects
-
10+ Years Of Experience
Artificial Intelligence Training Projects
Become a Artificial Intelligence Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Chatbot with Basic Responses
Create a simple rule-based chatbot using Python and libraries like NLTK or ChatterBot. It can respond to basic user inputs.
Image Classification MNIST
Use TensorFlow or PyTorch to build a neural network that classifies handwritten digits from the MNIST dataset.
Sentiment Analysis on Tweets
Gather tweets using the Twitter API and perform sentiment analysis using a pre-trained model like VADER or TextBlob.
Image Style Transfer
Implement a neural network that applies the artistic style of one image to another, using techniques like CNNs.
Voice Recognition Assistant
Build a voice-controlled assistant using Python and libraries like SpeechRecognition and pyttsx3.
Facial Recognition System
Create a facial recognition system using OpenCV and Dlib, capable of recognizing faces in images or video streams.
Generative Adversarial Network (GAN)
Develop a GAN to generate realistic images (e.g., faces or landscapes) using TensorFlow or PyTorch.
Self-Driving Car Simulation
Implement AI for autonomous navigation using reinforcement learning using a simulator like CARLA or Udacity’s Self-Driving Car Simulator.
Natural Language Processing with Transformers
Build a text summarization tool or a chatbot using transformer models like BERT or GPT, fine-tuning on a specific dataset.
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Batch Schedule
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
-
20-Jan-2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
-
22-Jan-2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
-
18-Jan-2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
-
19-Jan-2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Enquiry Form
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
Artificial Intelligence Training Overview
Artificial Intelligence Programmer’s Potential Career Paths
You can investigate several fascinating career opportunities as an AI programmer. Making algorithms and models for automation and predictive analytics is what a machine learning engineer might do. Instead, you may examine intricate information as a Data Scientist to gain knowledge and guide business choices. Another option is to work on building AI technology and join a research scientist team where you can publish your discoveries. While working on cutting-edge applications may be part of a robotics or natural language processing profession, an AI product manager role would involve overseeing the development of AI-driven products.
What Are the Requirements for an Artificial Intelligence Training?
- Basic Programming Skills: Proficiency in a programming language (Python is highly recommended for AI).
- Foundational Knowledge in Computer Science: Familiarity with data structures, algorithms, and basic software development concepts.
- Understanding of Machine Learning: Knowledge of core machine learning concepts and algorithms is often gained through a prerequisite course or self-study.
- Familiarity with Tools and Libraries: Experience with AI/ML libraries such as TensorFlow, PyTorch, or Scikit-Learn can be beneficial.
Reasons to Consider Enrolling in Artificial Intelligence Training
Gaining highly sought-after skills in demand across various businesses is one of the many advantages of pursuing an artificial intelligence degree. Knowing the foundations of artificial intelligence (AI), revolutionizing the technology, healthcare, and finance industries, can help you advance your career and open interesting work chances. The course's hands-on application of cutting-edge tools and techniques promotes a deeper understanding of data analysis, problem-solving, and machine learning.
Techniques and Trends in Artificial Intelligence Development
- Machine Learning: Supervised, unsupervised, and reinforcement learning methods are widely used for tasks ranging from classification to prediction.
- Deep Learning: Utilizes neural networks with many layers to process large amounts of data, particularly effective in image and speech recognition.
- Explainable AI (XAI): Increasing demand for transparency in AI decision-making processes to build trust and ensure accountability.
- Ethical AI: Growing focus on responsible AI development to address biases, privacy concerns, and ethical implications of AI technologies.
The Most Recent Artificial Intelligence Tools
The emergence of potent technologies that boost creativity and productivity results from recent advances in artificial intelligence. OpenAI's ChatGPT stands out because of its exceptional natural language generation and understanding capabilities, making it perfect for teaching, content development, and customer service applications. AI's creative field potential is further demonstrated by DALL-E, an additional tool that creates visuals from textual descriptions. Hugging Face is a well-liked platform that makes it easier to apply AI solutions by providing access to and refinement of pre-trained models in computer vision and NLP.
Career Opportunities After Artificial Intelligence
Machine Learning Engineer
Machine learning engineers create models and algorithms to enable computers to learn from data. They concentrate on developing and refining predictive models.
Data Scientist
Data scientists examine and evaluate large, complicated databases to derive valuable insights that guide business decisions. They use data visualization and machine learning.
AI Research Scientist
An AI research scientist carries out innovative research to further the field of artificial intelligence. Their research focuses on creative algorithms, frameworks, and techniques.
Computer Vision Engineer
A computer vision engineer focuses on enabling machines to read and comprehend visual data. They provide models and algorithms for object detection, video analysis, and picture recognition.
Natural Language Processing (NLP) Engineer
The primary goal of an NLP engineer is to create systems that let computers comprehend and process human language. They use parsing, tokenization, and machine translation.
AI Product Manager
An AI product manager is in charge of developing AI-driven products from concept to launch. They serve as a conduit between technical teams and business stakeholders, articulating the strategy and vision for the product.
Skill to Master
Machine Learning
Data Analysis
Programming Proficiency
Statistical Knowledge
Deep Learning
Natural Language Processing (NLP)
Computer Vision
AI Ethics
Problem-Solving Skills
Model Evaluation and Optimization
Data Visualization
Collaboration and Communication
Tools to Master
TensorFlow
PyTorch
Scikit-learn
Keras
Apache Spark
Microsoft Azure Machine Learning
Google Cloud AI Platform
IBM Watson
H2O.ai
RapidMiner
OpenAI Gym
Tableau
Learn from certified professionals who are currently working.
Training by
Ananya , having 12 yrs of experience
Specialized in: Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning.
Note: Ananya is a leading AI researcher with numerous publications in top-tier journals. She has developed various machine learning models for industry applications and is passionate about mentoring students in practical AI implementations using Python and TensorFlow.
We are proud to have participated in more than 40,000 career transfers globally.
Artificial Intelligence Certification
Even though it can improve your chances of landing a job and show prospective employers what you can do, an AI certification does not ensure employment. Hiring decisions in the competitive job market are based on several criteria, such as your experience, portfolio, networking, and the particular requirements of potential employers.
You may obtain credentials in numerous artificial intelligence training. Obtaining several certifications is a popular choice among professionals who wish to expand their knowledge and proficiency in multiple AI fields, including computer vision, natural language processing, and machine learning.
Indeed, many companies provide online versions of their certification tests in artificial intelligence. Most of these tests may be performed online, so you can conveniently do them from your home or business.
Acquiring a certification does not usually require real-world expertise with artificial intelligence; however, it can be helpful. Many certification programs are created for people with different skill levels, including beginners.
If you want to improve your abilities and professional chances in artificial intelligence, getting an ACTE certification may be well worth your time and financial investment.
Frequently Asked Questions
- Classroom Training
- Online Live Training
- Self-Paced eLearning
- Blended Learning
- On-Demand Training
- Corporate Training
- It is imperative to make up lost material if you are absent from class. You can better grasp the information using the lecture notes, videos, or additional resources many instructors give. Seeking comments from fellow students or discussing important ideas can also be helpful. Informing your instructor of your absence and asking for special instructions on what to concentrate should also be done.
- It is preferable to contact your instructor or course organizer directly through the course platform or by email if you have any more questions. Ensure your queries are precise and concise to receive the most beneficial answers. Additionally, because classmates might have similar questions or insights, think about joining any forums or discussion groups related to the course.
- Visit the ACTE Website
- Search for the Course
- Select the Course
- Register Online
- Contact ACTE
- Receive Confirmation
- Generally, the institution's learning management system or course platform allows you to access course materials online. Most programs offer everything in one convenient area, including reading lists, lecture slides, recorded sessions, and assignments. To access these items, you must log in using your student credentials.