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With
Certification & 100% Placement Assistance
10-Day Intensive | 20 Hours Total | Production-Ready PoC |
Build a production-ready AI Healthcare & Lab Assistant in 10 days using 100% free, open-source technology. This intensive program teaches you real-world AI agent development with CrewAI, RAG systems using ChromaDB, and Agentic AI orchestration. Perfect for experienced developers who want hands-on expertise in building intelligent systems with LLMs, vector databases, and multi-agent architectures.
| Next Batch Date | Mar 20, 2026 - 10:00 AM |
| Training Modes: | Online Training (Instructor-Led) |
| Course Duration: | 2-3 Months |
| Call us at: | +91 7996682999 |
| Email Us at: | trainings@innoture.co.in |
Industry-Oriented AI Curriculum
Our AI training program is designed according to current industry standards. Students learn Python, Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Prompt Engineering, Natural Language Processing (NLP), Computer Vision, and AI deployment techniques.
Real-Time AI Projects and Practical Training
Students work on real-world AI projects such as AI chatbots, recommendation systems, predictive analytics models, image recognition applications, and Generative AI solutions to gain practical experience.
Expert AI Trainers with Industry Experience
Our trainers are experienced AI professionals who bring real-world knowledge and industry best practices into the classroom, helping students understand both theory and practical implementation.
100% Placement Support
We provide dedicated placement assistance including resume building, LinkedIn profile optimization, mock interviews, aptitude preparation, soft skills training, and job referrals.
Job-Ready AI Skills Development
The course focuses on developing practical AI skills that employers seek. Students learn to build, train, evaluate, and deploy AI models for real business applications.
Hands-On Generative AI Training
Gain experience with the latest Generative AI technologies including ChatGPT, Gemini, Claude, Prompt Engineering, AI Automation, AI Agents, and LLM-powered applications.
Flexible Learning Options
We offer both online and classroom training programs, making it convenient for students, fresh graduates, and working professionals to learn AI at their own pace.
Certification After Course Completion
Students receive an AI Training Certification from Innoture Digital Edge, helping strengthen their professional profile and improve career opportunities.
Beginner-Friendly AI Training
No prior AI experience is required. The program starts with Python fundamentals and gradually progresses to advanced Machine Learning, Deep Learning, and Generative AI concepts.
Career Guidance and Mentorship
Our mentors provide career guidance, portfolio-building support, interview preparation, and personalized mentoring to help students confidently enter the AI industry.
Industry-Relevant Tools and Technologies
Students gain practical exposure to Python, TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, LangChain, Vector Databases, Hugging Face, and cloud-based AI platforms.
Growing Demand for AI Professionals
Artificial Intelligence is transforming industries worldwide. Organizations are actively hiring AI Engineers, Machine Learning Engineers, Data Scientists, AI Developers, and Generative AI Specialists.
Industry Expert AI Trainers with Real-World Experience
Live Online Instructor-Led Training
120+ Hours of Practical AI Training
Hands-on Real-Time AI and Generative AI Projects
Learn Python Programming from Scratch
Machine Learning and Deep Learning Fundamentals
Generative AI, ChatGPT, Gemini, Claude, and LLM Training
Prompt Engineering and AI Automation Techniques
Natural Language Processing (NLP) and Computer Vision
TensorFlow, PyTorch, Scikit-learn, and Hugging Face Tools
AI Chatbot and AI Application Development
OpenAI API and AI Integration Projects
Git and GitHub Version Control Training
Resume Building and LinkedIn Profile Optimization
Technical Mock Interviews and AI Career Preparation
Portfolio Development with Industry-Level Projects
Placement Assistance for Eligible Students
Lifetime Access to Class Recordings
Beginner-Friendly Training with Step-by-Step Learning
4-Month Structured AI Training Program
Begin your AI journey by learning Python programming. Understand variables, data types, functions, loops, object-oriented programming, file handling, and other essential concepts required for AI development.
Learn how to work with datasets using NumPy and Pandas. Explore data cleaning, preprocessing, visualization, and exploratory data analysis techniques that help uncover valuable insights from data.
Build a strong foundation in probability, statistics, linear algebra, and basic calculus. These concepts are essential for understanding how machine learning algorithms work.
Understand supervised and unsupervised learning techniques. Learn how machine learning models are trained, evaluated, and optimized using real-world datasets.
Master popular algorithms such as Linear Regression, Logistic Regression, Decision Trees, Random Forest, KNN, SVM, Naive Bayes, and Clustering techniques used in industry applications.
Learn Artificial Neural Networks, activation functions, backpropagation, TensorFlow, Keras, and deep learning architectures used for solving complex AI problems.
Explore how computers understand human language through text processing, sentiment analysis, text classification, entity recognition, and language models.
Learn image processing, object detection, image classification, facial recognition, and computer vision applications using OpenCV and deep learning frameworks.
Understand the concepts behind Generative AI, Large Language Models (LLMs), ChatGPT, Gemini, Claude, transformers, embeddings, and modern AI-powered applications.
Learn effective prompt engineering techniques and build intelligent AI agents using frameworks like LangChain to automate business processes and workflows.
Build real-world AI solutions such as chatbots, recommendation systems, resume screening tools, AI assistants, sentiment analysis applications, and automation tools.
Learn how to deploy machine learning and AI models using Flask, FastAPI, REST APIs, cloud platforms, and production-ready deployment techniques.
Work on industry-level AI projects that strengthen practical knowledge, improve problem-solving abilities, and help build a professional AI portfolio.
Prepare for AI and Machine Learning job roles through resume building, GitHub portfolio development, LinkedIn optimization, mock interviews, aptitude training, and career guidance.
Artificial Intelligence (AI) is a branch of computer science that enables machines to simulate human intelligence. AI systems can learn from data, recognize patterns, make decisions, understand language, and solve complex problems with minimal human intervention.
Today, AI powers technologies such as virtual assistants, chatbots, recommendation systems, image recognition, self-driving vehicles, fraud detection systems, and Generative AI tools like ChatGPT and other Large Language Models (LLMs).
Machine Learning is a subset of AI that allows computers to learn from data without being explicitly programmed. ML algorithms identify patterns and make predictions that help businesses automate tasks and improve decision-making processes.
Deep Learning uses artificial neural networks to process large amounts of data and solve complex problems. It is widely used in image recognition, speech recognition, autonomous systems, and advanced AI applications.
Generative AI is a modern AI technology capable of creating text, images, code, videos, and other content. Popular AI tools use Large Language Models (LLMs) to generate human-like responses, automate workflows, and improve productivity across industries.
AI professionals work with technologies such as Python, TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, LangChain, Vector Databases, and cloud platforms. These tools help build, train, deploy, and manage intelligent AI applications.
AI has become one of the fastest-growing career fields worldwide. Organizations actively hire AI Engineers, Machine Learning Engineers, Data Scientists, AI Developers, NLP Engineers, Computer Vision Specialists, and Generative AI Experts to drive innovation and digital transformation.
| Feature | Artificial Intelligence | Machine Learning | Generative AI |
|---|---|---|---|
| Definition | Machines performing tasks that require human intelligence | Systems learning patterns from data | AI that creates new content such as text, images, and code |
| Primary Goal | Decision-making and automation | Predictions and learning from data | Content generation and creativity |
| Data Usage | Uses rules and data | Learns directly from datasets | Learns from massive datasets and generates outputs |
| Popular Technologies | Expert Systems, Robotics | Scikit-learn, TensorFlow | ChatGPT, Gemini, Claude, LLMs |
| Applications | Automation, Decision Support | Fraud Detection, Recommendations | Chatbots, Content Creation, AI Assistants |
| Learning Difficulty | Moderate | Moderate to Advanced | Advanced but highly in-demand |
| Career Opportunities | AI Engineer | Machine Learning Engineer | Generative AI Engineer |
| Industry Demand | Very High | Very High | Rapidly Growing |
Resume Building
AI Placement Training
AI Interview Preparation
AI Internships
Real-Time AI Projects
Get Offer Letter
Interview Scheduling
Mock Interviews
Personality Development
Aptitude Preparation
Create an ATS-friendly AI resume highlighting Machine Learning, Deep Learning, Generative AI skills, certifications, and projects.
Industry-focused training covering AI concepts, coding assessments, case studies, and company-specific hiring requirements.
Comprehensive preparation for Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI interview questions.
Build AI chatbots, recommendation systems, predictive analytics solutions, and Generative AI applications.
Improve communication skills, presentation skills, confidence, and professional behavior for corporate success.
Participate in technical and HR mock interviews conducted by experienced AI industry professionals.
Dedicated placement team assistance for interview coordination and company referrals.
Complete support through selection, salary negotiation guidance, and onboarding preparation.
Engineering students who want to build careers in Artificial Intelligence, Machine Learning, Data Science, or Generative AI can gain industry-relevant skills through practical training and real-world projects.
Students from B.Sc, BCA, B.Com, BA, BBA, MCA, M.Sc, or other academic backgrounds who are interested in AI technologies can learn from beginner to advanced levels.
Graduates looking to enter the rapidly growing AI industry can develop job-ready skills in Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI.
Individuals seeking opportunities in Artificial Intelligence, Machine Learning, Data Analytics, and AI-powered software development can enhance their employability through hands-on training.
IT professionals, software developers, testers, analysts, and engineers who want to upgrade their skills can learn modern AI technologies and advance their careers.
Professionals from non-IT backgrounds who want to transition into AI and technology careers can start with Python fundamentals and gradually move toward advanced AI concepts.
Individuals interested in data analysis, predictive modeling, business intelligence, and machine learning can build a strong foundation for Data Science and AI careers.
Business owners and entrepreneurs who want to understand AI automation, Generative AI, chatbots, and intelligent business solutions can benefit from practical AI training.
Developers looking to integrate AI capabilities into applications can learn AI model development, API integration, AI agents, and Generative AI technologies.
Anyone passionate about AI, Machine Learning, Deep Learning, Generative AI, automation, and emerging technologies can join this course and build a future-ready career.
AI Engineers design, develop, and deploy intelligent systems that automate tasks, improve decision-making, and solve business problems using Artificial Intelligence technologies.
Machine Learning Engineers build, train, evaluate, and optimize machine learning models that power predictive analytics, recommendation systems, and intelligent applications.
Generative AI Engineers develop applications using Large Language Models (LLMs), AI agents, chatbots, and content-generation systems powered by technologies such as ChatGPT and other foundation models.
Data Scientists analyze large datasets, identify patterns, build predictive models, and provide data-driven insights that help organizations make strategic business decisions.
NLP Engineers build systems that understand and process human language, including chatbots, virtual assistants, sentiment analysis tools, and language translation applications.
Computer Vision Engineers develop AI systems that analyze and interpret images and videos for applications such as facial recognition, object detection, and image classification.
AI Application Developers integrate machine learning models, AI APIs, and automation workflows into web, mobile, and enterprise applications to create intelligent user experiences.
Prompt Engineers design and optimize prompts for Large Language Models to improve AI outputs, automate workflows, and enhance the performance of AI-powered solutions.
MLOps Engineers manage the deployment, monitoring, scalability, and maintenance of machine learning models in production environments using modern cloud and DevOps practices.
AI Automation Specialists build intelligent workflows and automation solutions that reduce manual effort and improve business efficiency using AI tools and agents.
Business Intelligence Analysts use data analytics and AI-driven insights to help organizations improve performance, optimize operations, and support strategic planning.
Research professionals explore emerging AI technologies, experiment with advanced models, and contribute to innovation in fields such as healthcare, finance, education, and automation.
Artificial Intelligence is one of the fastest-growing technology domains globally. Organizations across healthcare, finance, e-commerce, manufacturing, education, cybersecurity, and software industries are actively hiring AI professionals to build intelligent systems, automate processes, and drive innovation.
Freshers
₹5 LPA to ₹10 LPA (Depending on AI skills, projects, certifications, and company requirements)
2–5 Years Experience
₹10 LPA to ₹25 LPA
Senior AI Professionals
₹25 LPA+ (Especially in product-based companies, AI startups, and global organizations)
India is rapidly becoming a global hub for Artificial Intelligence innovation. Organizations across multiple industries are investing heavily in AI, Machine Learning, Data Science, and Generative AI solutions to improve efficiency, automate processes, and gain competitive advantages.
The growing adoption of AI technologies has created significant demand for AI Engineers, Machine Learning Engineers, Data Scientists, Generative AI Specialists, and AI Application Developers across the country.
AI is used for disease prediction, medical imaging, patient monitoring, and healthcare automation.
Financial institutions use AI for fraud detection, risk assessment, customer service, and algorithmic trading.
Online businesses use AI-powered recommendation systems, customer analytics, and personalized shopping experiences.
AI helps deliver personalized learning, automated assessments, and intelligent tutoring systems.
Manufacturers use AI for predictive maintenance, quality control, and process automation.
AI enhances threat detection, security monitoring, and automated response systems.
AI powers autonomous driving systems, vehicle safety technologies, and predictive diagnostics.
Technology companies use AI for intelligent applications, chatbots, AI agents, and Generative AI solutions.
Leading technology companies, startups, product-based organizations, consulting firms, and global enterprises are actively hiring AI Engineers, Machine Learning Engineers, Data Scientists, and Generative AI Specialists.
The demand for AI Engineers, Machine Learning Engineers, Data Scientists, and Generative AI Professionals is growing rapidly worldwide. Build future-ready AI skills, work on real-time projects, and prepare yourself for high-paying opportunities in the Artificial Intelligence industry.
Hear what our students have to say about their journey with Innoture Digital Edge.
"The Java Full Stack course was a game-changer for my career. The real-time project experience was invaluable, and the trainers, who are actual industry architects, provided insights I couldn't get anywhere else. I landed my dream job within a month of completion."
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"The UI Full Stack program is top-notch. I went from knowing basic HTML to building complex React applications with confidence. The placement assistance team was incredibly supportive, helping me build my resume and prepare for interviews."
"I joined Innoture Digital Edge to learn Java Full Stack Development and it was one of the best decisions for my career. The trainers explain concepts clearly and the real-time projects helped me understand how companies actually build applications."
"The course structure is excellent for beginners. I started with basic programming and now I can build full web applications using Java, Spring Boot, and React. The placement support is also very helpful."
"What I liked most is the practical training. Instead of only theory, we worked on real projects and GitHub portfolios. This helped me feel confident during interviews."
"The trainers are very supportive and guide students step by step. Even when I had doubts after class, they helped me understand the concepts clearly."
"Great institute for learning full stack development. The mock interviews and resume building sessions helped me prepare for real company interviews."
"I highly recommend this training program for anyone who wants to start a career in software development. The curriculum covers everything from basics to advanced topics."
"The best part of the course is the real-time projects and practical sessions. It helped me gain confidence in coding and application development."
"The learning environment is very good and the trainers explain concepts with real industry examples. It makes learning much easier."
"Good training with updated technologies like Spring Boot, REST APIs, and React. The course content is very relevant to current industry needs."
"This course helped me understand both frontend and backend development. The guidance provided for interviews and career growth is very valuable."
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"A very useful course for learning digital marketing from basics to advanced strategies. The projects helped me understand real marketing campaigns."
"The training is well structured and beginner friendly. I learned how to create content and promote brands online."
"I gained hands-on experience with Google Ads and campaign optimization. The trainer support was excellent."
"The practical examples and assignments helped me understand marketing strategies and analytics tools."
"A great place to learn digital marketing with real-time examples and guidance."
"The course helped me improve my marketing knowledge and understand how businesses grow online."
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"The assignments and projects helped me gain real knowledge and start working on freelance marketing projects."
Get answers to common questions about our courses and learning experience.