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AI and Deep Learning Training in Hyderabad

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Learn from Certified Experts

  • Hands-On Learning in AI Deep learning.
  • Suitable for Beginners and Advanced Learners.
  • 11412+ Students Trained, and 322+ Employing Clients.
  • Delivered by 12+ Years of AI Deep learning Certified Expert.
  • Lifetime Access for Student’s Portal, Study Materials, Videos.
  • Next AI Deep learning Batch to Begin This Week – Enroll Your Name Now!



INR 14000


INR 20000

INR 16000

Have Queries? Ask our Experts

+91-7669 100 251

Available 24x7 for your queries

Upcoming Batches


Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session


Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session


Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session


Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

Hear it from our Graduate

Have Cracked Their Dream Job in Top MNC Companies

Artificial Intelligence Demystified: A Journey into the World of AI

  • Comprehensive AI Deep Learning Training, Learn the fundamentals and advanced concepts of AI and deep learning.
  • Through Hands-On Projects Gain practical experience by working on real-world projects using deep learning techniques.
  • Expert Instructors, Learn from seasoned professionals with extensive expertise in AI and deep learning.
  • Keep up to date on the latest advances in artificial intelligence and deep learning technology.
  • Receive individual attention and support to enhance your understanding and skills.
  • Acquire skills that are in high demand across various industries, such as healthcare, finance, and more.
  • Investigate the applications of AI and deep learning in domains such as image recognition, and natural language processing.
  • Improve your career prospects by learning AI and deep learning, two of the most in-demand skills in the computer business.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

Course Objectives

  • Basic Programming Knowledge
  • Mathematics Fundamentals
  • Machine Learning Basics
  • Computer Science Background
  • Familiarity with Neural Networks

The duration of an AI and Deep Learning course can vary significantly depending on several factors, including the level of the course, the depth of the content, the training provider, and whether it's an in-person, online, or self-paced course.

  • Textbooks and Reference Materials
  • Assignments and Projects
  • Code Samples
  • Jupyter Notebooks
  • Research Papers

Our AI Deep Learning courses offer job placement assistance, connecting graduates with industry opportunities and providing career support.

  • Introduction to Artificial Intelligence and Machine Learning
  • Basics of Neural Networks and Deep Learning
  • Feedforward Neural Networks
  • Backpropagation and Gradient Descent
  • Activation Functions and Loss Functions
  • Convolutional Neural Networks (CNNs) for Computer Vision
  • Recurrent Neural Networks (RNNs) for Natural Language Processing

Yes, hands-on laboratories and practical exercises are typically included in AI Deep Learning courses. These hands-on components help students to apply theoretical principles learned in class to real-world settings.

  • High-Demand Skill
  • Career Opportunities
  • Cutting-Edge Technology
  • Problem-Solving Skills
  • Versatility
  • Hands-On Experience

Mention the benefits of AI Deep learning Training?

  • High Demand
  • Career Advancement
  • Cutting-Edge Technology
  • Problem-Solving Abilities
  • Research Opportunities
  • Personal Growth

Which kind of tools will I learn throughout the AI Deep learning training?

  • Python
  • Jupyter Notebooks
  • TensorFlow
  • Keras
  • PyTorch
  • NumPy
  • Pandas

What are the career prospects after completing the AI Deep Learning course?

  • Machine Learning Engineer
  • Deep Learning Engineer
  • Data Scientist
  • Computer Vision Engineer
  • Natural Language Processing (NLP) Engineer
  • Robotics Engineer

How are practical projects integrated into the training?

Training programs often include hands-on projects that allow participants to apply deep learning concepts to real-world scenarios.

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Deep Learning Course: Mastering the Power of AI

Join our AI and Deep Learning Course in Hyderabad to dive into the fascinating world of artificial intelligence and cutting-edge deep learning technologies. Led by seasoned AI professionals with extensive industry experience, the training offers hands-on projects that enable you to tackle real-world learn AI challenges confidently. Our personalized mentorship ensures that you receive the guidance you need to tailor the learning experience to your specific goals. Covering a comprehensive curriculum, including neural networks, machine learning, natural language processing, and computer vision, you'll stay up-to-date with the latest trends and best practices in this rapidly evolving field.

Additional Info

Introduction of AI Deep Learning

AI Deep Learning is an Artificial Intelligence (AI) subject that focuses on teaching artificial neural networks to accomplish complex tasks. It entails employing algorithms inspired by the structure and functions of the human brain to process massive datasets and learn from patterns. Machines can recognize patterns, understand plain language, make judgments, and solve problems thanks to deep learning. It has transformed several industries, including healthcare, finance, robotics, and self-driving cars. AI Deep Learning continues to drive developments in AI applications, revolutionizing the way people interact with technology and With its ability to handle massive volumes of data and learn complex representations, it is shaping the future of intelligent systems.

Artificial Intelligence Deep Learning is a subset of Machine Learning, which uses artificial neural networks with multiple layers to process data hierarchically. These networks, often called deep neural networks or DNNs, can automatically learn to extract features and patterns from raw data without explicit programming.

The availability of massive datasets is credited with Deep Learning's success and significant computing power, which enables the training complex models efficiently. Convolutional Neural Networks (CNNs) excel in image recognition tasks, while Recurrent Neural Networks (RNNs) are adept at sequential data processing, making them ideal for natural language processing and time series analysis.

Top 20 Reasons to Learn AI and Deep learning

  • High Demand: AI Deep Learning skills are in great demand across industries, leading to numerous job opportunities.
  • Future Technology: AI Deep Learning is at the forefront of technological advancements, shaping the future of AI applications.
  • Versatility: AI Deep Learning has diverse applications, from computer vision to natural language processing and beyond.
  • Career Growth: Learning AI Deep Learning can accelerate your career growth and open doors to higher-level roles.
  • Solving Complex Problems: Deep Learning empowers you to tackle complex challenges with intelligent solutions.
  • Personal Interest: If you have a passion for technology and AI, Deep Learning allows you to explore cutting-edge concepts.
  • Innovate & Research: AI Deep Learning lets you contribute to research and innovation in AI and Machine Learning

  • Improve Decision-Making: AI Deep Learning enables data-driven decision-making for businesses and organizations.
  • Understand AI Concepts: Learning Deep Learning provides a deeper understanding of AI algorithms and architectures.
  • Competitive Advantage: AI Deep Learning skills give you a competitive edge in the job market.
  • Explore Emerging Industries: Deep Learning applications extend to emerging industries like autonomous vehicles and healthcare.
  • Creativity & Art: Deep Learning can be used in creative fields like art generation and music composition.
  • Enhance Existing Skills: AI Deep Learning complements skills in data science, programming, and statistics.
  • AI Ethics: Learning AI Deep Learning allows you to understand AI ethics and responsible AI development.
  • Problem-Solving Impact: Applying AI Deep Learning can have a significant impact on real-world problems.
  • Continuous Learning: The field is ever-evolving, encouraging continuous learning and staying updated.
  • Global Opportunities: AI Deep Learning skills are sought after worldwide, offering global job prospects.
  • Shape the Future: Be part of the technological revolution and shape the future of AI.
  • Interdisciplinary Applications: Deep Learning is applicable in fields like healthcare, finance, gaming, and more.
  • In-Demand Skillset: AI Deep Learning is a valuable skillset for organizations adopting AI technologies

The future scope of AI Deep Learning

    The future scope of AI Deep Learning is exceptionally promising, with continuous advancements and new applications emerging in various domains. Here are some key aspects that highlight the bright future of AI Deep Learning:

  • Breakthroughs and Innovations: Researchers and developers are continuously pushing the boundaries of AI Deep Learning, leading to breakthroughs in model architectures, training techniques, and optimization algorithms.
  • Expansion to New Industries: AI Deep Learning is finding applications in industries beyond tech, such as agriculture, manufacturing, energy, and more, creating new opportunities for AI-driven solutions.
  • Improved Healthcare: Deep Learning is expected to revolutionize healthcare with personalized treatment plans, early disease detection, and AI-assisted diagnostics.
  • Enhanced Natural Language Processing: AI Deep Learning will continue to improve natural language understanding, leading to more sophisticated chatbots, voice assistants, and language translation services.
  • Autonomous Systems: The future will witness more sophisticated autonomous systems powered by Deep Learning, including self-driving cars, drones, and robots.
  • AI for Creativity: Deep Learning will contribute to creative fields, like generating art, music, and even creative writing, blurring the lines between human and AI-generated content.
  • Responsible AI: The focus on ethical AI development and fairness in AI algorithms will shape the future to ensure responsible and unbiased AI applications.
  • Democratization of AI: As tools and libraries become more user-friendly, AI Deep Learning will become more accessible to non-experts, leading to widespread adoption.
  • Hybrid Approaches: Integrating Deep Learning with other AI techniques like symbolic AI and reinforcement learning will create hybrid models for solving complex problems.
  • Edge Computing and IoT: AI Deep Learning models will be optimized for edge devices and IoT applications, enabling real-time processing and reducing dependence on cloud resources.
  • AI in Education: Deep Learning will transform education by personalizing learning paths and improving educational outcomes through adaptive learning systems.
  • Energy Efficiency: Research inefficient model architecture and hardware will drive energy-efficient AI Deep Learning, reducing the environmental impact.
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Key Features

ACTE Bangalore offers AI and Deep Learning Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of AI and Deep Learning Training in Hyderabad
Module 1: Introduction to Artificial Intelligence
  • Overview of Artificial Intelligence (AI) and its applications
  • History and evolution of AI
  • Types of AI: Narrow AI vs. General AI
  • Ethical considerations and challenges in AI
Module 2: Introduction to Machine Learning
  • Understanding Machine Learning (ML) and its key concepts
  • Supervised, Unsupervised, and Reinforcement Learning
  • Machine Learning algorithms and models
  • Evaluating ML model performance
Module 3: Neural Networks and Deep Learning
  • Introduction to Neural Networks and their architecture
  • Activation functions and backpropagation
  • Building a simple neural network using Python and a deep learning framework
  • Model training and optimization techniques
Module 4: Convolutional Neural Networks (CNNs)
  • Understanding CNNs and their applications in image recognition tasks
  • Implementing a CNN for image classification
  • Transfer learning and fine-tuning pre-trained models
Module 5: Recurrent Neural Networks (RNNs)
  • Introduction to RNNs and their applications in sequential data analysis
  • Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU)
  • Building an RNN for sequence generation or sentiment analysis
Module 6: Generative Adversarial Networks (GANs)
  • Introduction to GANs and their role in generating realistic data
  • Implementing a basic GAN for image generation
  • GAN applications in image-to-image translation and data augmentation
Module 7: Natural Language Processing (NLP)
  • Basics of NLP and its challenges
  • Text preprocessing and feature extraction for NLP tasks
  • Building an NLP model for sentiment analysis or text generation
Module 8: Reinforcement Learning
  • Understanding Reinforcement Learning and its components
  • Q-Learning and Deep Q-Network (DQN)
  • Implementing a reinforcement learning agent in a simple environment
Module 9: Deploying Deep Learning Models
  • Techniques for model deployment and serving
  • Web-based APIs for model integration
  • Introduction to cloud-based AI services
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Need customized curriculum?

Hands-on Real Time AI and Deep Learning Projects

Project 1
Retail Project

This project is use to store and analyse the online information acquired from various Stores, online Website and Social media domains.

Project 2
Bookings Project

This Project is use to prediction of Railway tickets getting confirmed.

AI Job Success: Unlocking Opportunities with Deep Learning

Unlock exciting career opportunities with our comprehensive training. Gain hands-on experience and be AI Job -ready for high-demand roles in AI and Deep Learning.
  • AI Deep Learning placement opens doors to high-demand roles in industries like tech, healthcare, finance, and more.
  • Build a solid portfolio to display your abilities to future employers by gaining practical experience through real-world projects.
  • Benefit from networking opportunities with hiring companies and industry experts during the placement program.
  • Receive personalized assistance, resume reviews, and interview preparation to enhance your employability.
  • Our training equips you with cutting-edge AI Deep Learning skills, making you a sought-after candidate in the job market.
  • IBM, Accenture, Deloitte, Capgemini, Cognizant, and Wipro are some multinational corporations (MNCs) that leverage AI and Deep Learning technology for their business operations.

AI Certification: Empowering Your AI Journey

An AI Certification provides formal recognition of your expertise in cutting-edge AI technologies and advanced neural networks. With this certification, you demonstrate your proficiency in designing, building, and deploying AI solutions for real-world challenges. The certification showcases your commitment to continuous learning and identifies you as a knowledgeable professional in the rapidly evolving field of AI and Deep Learning. Employers recognize the value of certified AI specialists, making this credential a significant boost to your career opportunities and growth.

  • Industry Relevance
  • Career Opportunities
  • Skill Validation
  • Hands-On Experience
  • Competitive Advantage
  • Career Advancement
  • Increased Employability
  • Diverse Job Opportunities
  • Skill Validation
  • Competitive Edge
  • Industry Recognition
  • Deep Learning Specialization
  • Mathematics for Machine Learning Specialization
  • Machine Learning Specialization
  • Machine Learning Engineering for Production (MLOps) Specialization
  • Natural Language Processing (NLP) Specialization
  • IBM Machine Learning Professional Certificate

The validity of an AI Deep Learning certification varies based on the organization or institution issuing it. In general, certifications offered by reputable organizations or professional bodies tend to have a defined validity period, typically ranging from one to three years.

While obtaining a certification in AI deep learning can certainly enhance your knowledge and skills in the field.The job market is influenced by various factors, including your skills, experience, the demand for AI professionals, the specific job market conditions, and more.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

AI Trainers: Guiding You to AI Excellence

  • AI Deep Learning trainers possess in-depth knowledge and expertise in advanced AI technologies, neural networks, and deep learning algorithms.
  • Trainers often have hands-on experience working on real-world AI projects, providing valuable insights and industry-relevant examples.
  • Effective AI Trainers have strong teaching skills, using various pedagogical methods to explain complex concepts and engage learners.
  • They design comprehensive course content, including hands-on projects, to provide a well-rounded learning experience.
  • AI and Deep Learning Training in Hyderabad, Our Trainers offer personalized assistance and mentorship to learners, supporting their individual learning goals and challenges.
  • Our Experienced trainers stay updated with the latest AI advancements, sharing industry insights and trends to prepare learners for real-world applications.

AI and Deep Learning Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    • Gives
    • For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire AI and Deep Learning training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn AI and Deep Learning Course At ACTE?

  • AI and Deep Learning Course in ACTE is designed & conducted by AI and Deep Learning experts with 10+ years of experience in the AI and Deep Learning domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each AI and Deep Learning batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in AI and Deep Learning. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996/ Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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