Best AI and Deep Learning Training In Pune With Placements
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AI and Deep Learning Training in Pune

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Upcoming Batches

14-Oct-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

09-Oct-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

12-Oct-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

12-Oct-2024
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

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    Most Job Oriented Tools Covered in AI and Deep Learning Course

    An Exploration Into Deep Learning and Artificial Intelligence

    • It offers a comprehensive overview of AI and deep learning concepts, equipping learners with a strong foundation in the subject.
    • Learners have access to a supportive community of peers, enabling collaboration, idea-sharing, and feedback throughout the learning journey.
    • The course focuses on practical application, ensuring that learners gain hands-on experience with real-world projects, making it suitable for both beginners and experience.
    • Instructors in the Artificial Intelligence and Deep Learning are industry experts with extensive experience in AI and deep learning, providing valuable insights and guidance to learners.
    • The course emphasizes real-world applications of AI and deep learning, allowing learners to work on cutting-edge technologies and algorithms to showcase their skills effectively.
    • The course recognizes the importance of quality assurance and includes an overview of manual testing, teaching learners how to ensure the accuracy and reliability of AI and deep learning models.
    • Classroom Batch Training
    • One To One Training
    • Online Training
    • Customized Training
    • Enroll Now

    Course Objectives

    • Automation
    • Innovation
    • Pattern Recognition
    • Predictive Analysis
    • Enhanced Efficiency
    • Programming
    • Data Handling
    • Neural Networks
    • Problem Solving
    • Machine Learning
    • Innovation: Contribute to innovations across a range of sectors.
    • Career Advancement: Enhance your opportunities and gain access to positions in high-demand.
    • Solve Complex Issues: Obtain the tools necessary to address challenging data-driven issues.
    • Skill Development: Develop your skills by becoming knowledgeable about cutting-edge technologies.
    • AI Researchers
    • Data Scientists
    • Robotics Engineers
    • Computer Vision Engineers
    • Machine Learning Engineers
    • Natural Language Processing Specialists

    In order to put knowledge into practice, many AI and Deep Learning courses contain exercises and projects. Students frequently use real-world datasets and apply AI algorithms in their work. These activities help students retain information and develop a portfolio of useful work.

    • NumPy
    • Pandas
    • OpenCV
    • PyTorch
    • TensorFlow
    • Scikit-learn

    Depending on the course and the organization providing it, the precise criteria may change. But a typical AI and Deep Learning course could demand that students have a solid educational foundation in a related subject, such computer science, mathematics, or engineering. Some courses might additionally demand a fundamental knowledge of programming and elementary statistics.

    Is AI and Deep Learning training a good choice for career?

    Given the rising demand for experts in these domains, obtaining training in AI and deep learning might be a great career move. The advantages include career advancement opportunities, competitive salaries, and the chance to work on cutting-edge technologies.

    Who needs to study AI and Deep Learning?

    • Researchers in domains connected to AI.
    • Anyone with a love for innovation and technology.
    • Professionals seeking to change careers and work with AI.
    • Data analysts and scientists are working to improve their abilities.

    Is there an essential need for training in AI and Deep Learning?

    While self-study and online resources can be used to master AI and Deep Learning, formal training programs have a number of benefits. These programs offer a structured curriculum, practical experience, professional direction, and chances for networking and collaboration.

    Mention some learning materials in AI and Deep Learning training

    • Presentations and lecture notes.
    • Literature and scholarly sources.
    • Exercises and projects that are useful.
    • Assignments and quizzes for assessment.
    • Access to AI technologies and frameworks.
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    Understanding AI's Power With Deep Learning Course

    The ability of AI and Deep Learning to process and examine enormous amounts of data is one of its main advantages. Big data has made a wealth of information available that can be tapped into to create intelligent systems. In Our Deep Learning Course we instructs algorithms are capable of sorting through enormous datasets, finding patterns, and gleaning important insights. Businesses stand to benefit greatly from this since it gives them the ability to make data-driven decisions, enhance consumer experiences, and gain a competitive edge.

     

    Additional Info

    Benefits of Pursuing AI and Deep Learning

    • High Demand and Career Opportunities: Professionals with expertise in AI and deep learning are in high demand across numerous industries. Following these careers can result in attractive job prospects with market-rate pay.
    • Innovation and Cutting-Edge Technology: Artificial Intelligence (AI) and deep learning are at the forefront of cutting-edge technology. You can work on cutting-edge initiatives and take part in ground-breaking developments by getting involved in these sectors.
    • Problem-Solving Skills: AI and deep learning involve complicated problem-solving, which improves your analytical thinking and problem-solving abilities and makes you a great asset in many fields.
    • Versatility: AI and deep learning expertise is inter-sectoral. Applying your expertise in the healthcare, financial, automotive, entertainment, and other fields will enable you to explore a variety of career options.
    • Efficiency and Automation: AI can automate monotonous operations, increasing productivity and freeing up human resources for more imaginative and strategic responsibilities.
    • Personal and Professional Growth: Deep learning and AI activities provide chances for ongoing learning that keep your mind active and promote both personal and professional development.
    • Global Recognition: Deep learning and AI talents are regarded and acknowledged internationally, enabling you to engage and interact with experts from all over the world.
    • Solving Real-World Issues: Using these technologies, you may take on issues like healthcare diagnostics, climate modeling, and autonomous systems and improve society.
    • Interdisciplinary Collaboration: Collaboration with professionals from different domains is common in AI and deep learning, which promotes interdisciplinary knowledge and teamwork.
    • Career Future-Proofing: As AI and deep learning develop, gaining knowledge in these fields can help you secure your professional future and ensure that you are relevant and competitive in the labor market.

    Future Scope of AI and Deep Learning

    • Rising Adoption Across Industries: Healthcare, finance, manufacturing, agriculture, and retail are just a few of the industries that are increasingly utilizing AI and Deep Learning. The demand for AI professionals will increase as more companies realize their potential.
    • AI in Healthcare: AI-powered systems will be essential in the diagnosis of diseases, the development of new drugs, the practice of personalized treatment, and the remote monitoring of patients. Improved patient care, better therapies, and more accurate diagnoses will result from this.
    • AI in Autonomous Systems: Self-driving cars, drones, and robots will proliferate and revolutionize delivery, logistics, and transportation services thanks to AI in autonomous systems. System safety and effectiveness will increase as a result.
    • AI in Finance: AI will be utilized for customer service, algorithmic trading, fraud detection, and risk assessment. By automating financial procedures, it will improve decision-making.
    • AI in Natural Language Processing: AI-driven language models will enhance virtual assistants, content creation, and translation services. They will make it possible for people to interact with technology in more purely human ways.
    • AI for Climate Science: AI will support environmental monitoring, weather forecasting, and climate modeling. It will help ensure sustainability and lessen the consequences of climate change.
    • AI in Education: Personalized learning systems powered by AI will transform education by adapting to each student's demands and enhancing academic results.
    • AI ethics: As AI systems proliferate, ethical issues including privacy, fairness, and openness will receive more attention. The rules and regulations governing ethical AI will keep changing.

    Tools Used in AI and Deep Learning

    • TensorFlow: TensorFlow is a deep learning framework that is open-source and commonly used to construct and train neural networks. It was created by Google. TensorFlow provides a vast ecosystem of tools and frameworks for the development of machine learning and artificial intelligence.
    • PyTorch: Created by Facebook's AI Research lab (FAIR), PyTorch is another well-liked deep learning framework. It is distinguished by its dynamic computational graph, which makes it more user-friendly for academics and developers. For jobs involving natural language processing (NLP), it is frequently employed.
    • Keras: An interface for TensorFlow and Theano is provided by the open-source deep learning framework known as Keras. It is a great option for those just getting started with deep learning because of its popularity for being user-friendly and simple to use.
    • OpenCV: Computer vision tasks are performed using OpenCV, the Open Source Computer Vision Library. It is crucial for AI applications handling visual data since it provides a variety of tools and functionalities for picture and video analysis.
    • Pandas: Pandas is a Python library for analyzing and manipulating data. When preparing and studying datasets prior to training machine learning models, it is especially helpful.
    • Numpy: Python's Numpy package is the foundational tool for numerical computation. It offers support for multi-dimensional arrays and matrices, which are necessary for deep learning and artificial intelligence (AI) mathematical operations.
    • Jupyter Notebooks: Jupyter Notebooks are web-based interactive environments that let you write and run code, view results, and record your progress. They are frequently employed for testing machine learning models and data visualization.
    • Caffe: The Berkeley Vision and Learning Center (BVLC) created the Caffe deep learning framework. It is popular for computer vision jobs because of its effectiveness.
    • MXNet: MXNet is a deep learning framework that supports both imperative and symbolic programming. It is free and open-source. Because of its efficiency and scalability, it is appropriate for large-scale applications.
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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.
     

    Curriculum

    Syllabus of AI and Deep Learning Training in Pune
    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
    Recommendation System

    Develop a recommendation system using collaborative filtering or content-based methods.

    Project 2
    Anomaly Detection

    Develop an anomaly detection system to identify outliers in data, which can be useful for fraud detection or fault monitoring.

    Our Deep Learning and AI Job Opportunities Will Boost Your Career

    In order to help students to find Job Opportunities for internships after completing the course, ACTE offers our Advanced Placement Assistance programme.

    • Companies are willing to offer competitive compensation packages due to high demand, making it a financially rewarding career choice.
    • AI and deep learning demand continuous learning to stay at the forefront of innovation, providing opportunities to master new techniques and technologies.
    • We have more than 100 programming associations registered. HCL, Wipro, Dell, Accenture, Google, CTS, TCS, and IBM are just a few examples, but not all of them.
    • For technology enthusiasts aiming to make a meaningful impact, AI and deep learning offer an unmatched opportunity to excel in a dynamic and ever-evolving field.
    • Deep Learning and AI Job offers vast career possibilities in industries like healthcare, finance, and entertainment, driven by the high demand for skilled professionals.
    • These roles enable professionals to work on groundbreaking projects, like predicting customer behavior or developing autonomous vehicles, with the potential to revolutionize industries.

    Get an Impactful Deep Learning and AI Certification

    One of the most exciting aspects of Deep Learning and AI Certification is the hands-on experience it offers. Through practical projects and assignments, You'll be able to put everything you've learnt into practice in a practical context. This not only helps solidify your understanding of the concepts but also gives you the opportunity to showcase your skills to potential employers. Imagine being able to say that you've successfully built a deep learning model that can accurately identify objects in images or understand human speech. The possibilities are endless.

    • Competitive Edge
    • Skill Validation
    • Global Recognition
    • Hands-On Experience
    • Networking Opportunities
    • Short online courses that teach the basics could last a few weeks.
    • Depending on the course type and your prior expertise, the duration can vary greatly.
    • It could take several months to complete comprehensive certification programs with more in-depth material.
    • Academic
    • Professional
    • Vendor-Specific

    Yes, AI and Deep Learning Certification enhances your job prospects. It makes you a more appealing prospect by showcasing your abilities to potential employers. However, securing a job also depends on factors like job market conditions, your interview performance, and relevant work experience.

    Qualifications required to enroll in a professional AI and Deep Learning course can vary depending on the specific program and institution offering the course. usually has a bachelor's degree in a relevant subject, such as computer science, mathematics, engineering, or a closely related discipline, is often preferred or even required for admission to professional AI and Deep Learning courses.


    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

    Get Trained With Our Effective Deep Learning and AI Trainers

    • These trainers excel in communication, breaking down complex concepts into easily understandable terms, making AI and deep learning accessible to a wider audience.
    • Deep Learning and AI Trainers possess exceptional expertise in artificial intelligence and deep learning, backed by extensive knowledge and research in these fields.
    • They take advantage of neural network capability to build intelligent systems that can learn and adapt on their own, which is a hallmark of deep learning and AI technology.
    • They are passionate pioneers, constantly exploring new possibilities and pushing the boundaries of what AI and deep learning can achieve, driving innovation in various industries.
    • The trainers are at the forefront of cutting-edge research and development, applying their expertise to create innovative solutions in healthcare, finance, self-driving cars, and more.
    • AI and Deep Learning Training in Pune is fortunate to have trainers akin to rock stars in the tech world, driving the revolution with their passion, knowledge, and dedication to advancing the field.

    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
    ACTE
      • Gives
    Certificate
      • 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 ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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    Request for Class Room & Online Training Quotation

        Job Opportunities in Artificial Intelligence

        More Than 35% Prefer Artificial Intelligence for Automating Tasks. Artificial Intelligence is One of the Most Popular and In-Demand Technologies in the Automated World.

        You can Work as a
        AI Engineer Machine Learning Engineer Data Scientist AI Research Scientist Natural Language Processing (NLP) Engineer Computer Vision Engineer AI Ethicist
        Upcoming In-Demand Jobs
        AI Business Strategist AI Solutions Architect AI Project Manager AI Product Manager AI Consultant
        Salary In Artificial Intelligence
        Reach Our Placement Officer

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