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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
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30+ Case Studies & Projects
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9+ Engaging Projects
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10+ Years Of Experience
AI and Machine Learning Training Projects
Become a AI and Machine Learning Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Sales Tracker Sheet
Create a basic spreadsheet to log daily or monthly sales data. Use SUM, AVERAGE, COUNT, and basic formatting techniques.
Employee Attendance Register
Build a simple attendance sheet with dates and checkboxes. Use COUNTIF to calculate presence and absence.
Budget Planner
Design a personal or household budget worksheet. Use basic formulas for income vs expenses and savings.
Inventory Management Sheet
Track product stock, incoming orders, and sales. Use VLOOKUP, data validation, and conditional formatting.
Student Grade Report
Calculate student grades using IF, AVERAGE, and VLOOKUP. Highlight top performers using conditional formatting.
Travel Expense Reimbursement Tracker
Manage business travel expenses for employees. Use dropdowns, custom formats, and SUMIF formulas.
Interactive Sales Dashboard
Create a dynamic dashboard using PivotTables and PivotCharts. Use slicers, timelines, and charts to analyze KPIs.
Automated Report Generator with Macros
Record and write VBA macros to automate monthly reports. Auto-format sheets, filter data, and send reports via email.
Data Cleaning & Analysis with Power Query
Import messy data from different sources using Power Query. Clean, reshape, and merge datasets using M-code logic.
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
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01 - Dec - 2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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03 - Dec - 2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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06 - Dec - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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07 - Dec - 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.
AI and Machine Learning Training Overview
Goals Accomplished by AI and ML Certification in Hebbal Layout
AI and Machine Learning training in Hebbal Layout aims to equip learners with foundational knowledge and hands-on experience in data analysis, model building, and algorithm implementation. Trainees develop proficiency in programming languages like Python, and tools such as TensorFlow and PyTorch. The courses emphasize real-world problem-solving through projects, preparing students to design, train, and deploy AI models. Additionally, participants gain a solid understanding of data preprocessing, model evaluation, and optimization techniques, enabling them to handle complex datasets and deliver actionable insights.
Future Career Opportunities Emerging from AI and ML Course in Hebbal Layout
- Machine Learning Engineer: Design and implement machine learning models to solve business problems, focusing on scalability and performance.
- Data Scientist: Analyze large datasets to extract meaningful patterns, build predictive models, and support data-driven decision-making.
- AI Research Scientist: Conduct advanced research on new algorithms and AI techniques to push the boundaries of artificial intelligence.
- Business Intelligence Analyst: Translate data insights into strategic recommendations by applying AI tools to business challenges.
- AI Product Manager: Lead AI-focused projects and product development by bridging the gap between technical teams and business stakeholders.
New Frameworks Introduced in AI and ML Training Course
Recent AI and ML Certification in Hebbal Layout have incorporated cutting-edge frameworks like TensorFlow 2.x and PyTorch, known for their flexibility and ease of use in deep learning projects. Additionally, tools such as Hugging Face’s Transformers library have been introduced to facilitate natural language processing tasks. Frameworks like Keras provide high-level APIs for rapid prototyping, while OpenCV is taught for computer vision applications. These frameworks ensure learners stay current with industry standards and can build efficient, scalable AI solutions.
Trends and Essential Skills Related to AI and ML Placement in Hebbal Layout
- Hands-On Project Experience: Employers prefer candidates who can demonstrate practical AI implementations through real-world projects and internships.
- Proficiency in Python and Libraries: Strong coding skills in Python and familiarity with libraries like NumPy, Pandas, and Scikit-learn are highly sought after.
- Understanding of Deep Learning and Neural Networks: Knowledge of architectures such as CNNs, RNNs, and Transformers is crucial for advanced AI roles.
- Data Wrangling and Preprocessing Skills: Ability to clean and prepare diverse datasets is essential for building accurate models.
- Cloud and Deployment Skills: Experience with cloud platforms (AWS, Azure, GCP) and deploying models using APIs is becoming increasingly important.
Applications and Uses of AI and ML Course in Hebbal Layout
AI and Machine Learning Training in Hebbal Layout equips individuals to develop solutions across various domains such as healthcare, finance, retail, and automotive industries. Applications include predictive analytics, image and speech recognition, natural language processing, and autonomous systems. Trained professionals can build recommendation engines, fraud detection systems, and intelligent virtual assistants, driving innovation and efficiency. These technologies not only optimize business processes but also open new avenues in research and product development, making AI and ML essential skills for the future workforce.
Career Opportunities After AI and Machine Learning
Machine Learning Engineer
Develops algorithms and models that enable machines to learn and make predictions, focusing on data preprocessing, feature engineering, and model deployment.
Data Scientist
Analyzes large datasets to extract insights, build predictive models, and support data-driven decision-making using statistical and machine learning techniques.
AI Research Scientist
Conducts advanced research on AI algorithms and models to push the boundaries of what machines can learn and perform, often publishing findings and developing prototypes.
Computer Vision Engineer
Specializes in developing AI systems that interpret and process visual data from images or videos, enabling applications like facial recognition and autonomous driving.
Natural Language Processing (NLP) Engineer
Works on algorithms that enable machines to understand, interpret, and generate human language, powering translators, and voice assistants.
AI Product Manager
Oversees the development and deployment of AI-powered products, coordinating between technical teams and business stakeholders to ensure market fit and usability.
Skill to Master
Python Programming
Statistical Analysis
Data Preprocessing and Cleaning
Supervised and Unsupervised Learning
Deep Learning Frameworks
Natural Language Processing
Computer Vision Techniques
Model Evaluation and Validation
Feature Engineering
Big Data Technologies
Charting and graphical representation
Cloud Platforms for AI
Tools to Master
TensorFlow
PyTorch
Scikit-learn
Jupyter Notebook
Keras
Apache Spark
MATLAB
IBM Watson
RapidMiner
AWS SageMaker
Microsoft Azure ML Studio
Google Colab
Learn from certified professionals who are currently working.
Training by
Saranya, having 12+ yrs of experience
Specialized in: AI and Machine Learning, AI Research Scientist.
Note: Saranya is recognized for her deep knowledge of container orchestration and her ability to bridge the gap between development and operations teams.
We are proud to have participated in more than 40,000 career transfers globally.
AI and Machine Learning Certification
Yes, there are many AI and ML Training With Certification offered by global platforms and institutes. Examples include Google’s TensorFlow Developer Certificate, IBM’s AI Engineering Professional Certificate, Microsoft’s AI Fundamentals, and various courses from Coursera, Udemy, and edX.
Yes, you can absolutely pursue multiple AI and ML certifications. In fact, doing so can help you specialize in different domains such as NLP, computer vision, or reinforcement learning. It also builds credibility and shows your commitment to staying current with evolving technologies.
Yes, AI and ML Training With Certification offer internal assessments and placement-oriented exams. While global certifications (like those from Google, Microsoft, or Coursera) are standardized and taken online, Hebbal Layout-based institutes may have their own tests or project evaluations to certify your skills and recommend you for local placements.
While real-world experience is not always a strict requirement, it significantly improves your chances of placement. Employers look for candidates who can apply theory to practice, which is why training programs include real-time projects, capstone assignments, and internships.
Frequently Asked Questions
- Yes, career counseling is provided to guide you on course suitability, job roles, and growth opportunities in AI and ML. This helps tailor your learning path to your career aspirations.
- Training includes theory lectures, hands-on coding exercises, project work, and case studies to build real-world skills.
- This ensures you not only learn concepts but also practical applications.
- Leading tech firms like Google, Microsoft, Amazon, IBM, and startups in AI-driven domains recruit AI & ML experts.
- Demand for these roles continues to grow across industries.
- Yes, AI and ML Training Course exams from recognized bodies or the institute itself are part of the curriculum to validate your skills. Certified professionals have a competitive edge in the job market.
- Yes, live projects completed during training can be included in your portfolio to showcase your practical experience. This real-world experience is highly valued by employers.