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AI Certification Course in Bangalore

AI Mastery: GenAI, Computer Vison & Deep Learning


317
Hours


3.5 Months

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Sign up for demo

21 June

Interactive Live Online

29 Mar

Gurgaon

08 Nov

Noida

08 Nov

Gurgaon

28 Sept

Noida

Learning Modes

Classroom Sessions

INR 86,440/-*
(Pay in Easy Installments)

Interactive Live Online

INR 77,000/-*
(Pay in Easy Installments)

Blended eLearning

INR 71,100/-*
(Pay in Easy Installments)

Learning Modes

Interactive Live Online

TIH at IIT Patna Certification
INR 80,240/-*
(Pay in Easy Installments)
AnalytixLabs Certification
INR 68,440/-*
(Pay in Easy Installments)

Blended eLearning

TIH at IIT Patna Certification
INR 70,800/-*
(Pay in Easy Installments)
AnalytixLabs Certification
INR 53,100/-*
(Pay in Easy Installments)

Program Fees

TIH at IIT Patna Certification
(Program fees starts from)
INR 70,800/-*
Analytixlabs Certification
(Program fees starts from)
INR 53,100/-*

Introduction to AI course in Bangalore

105 Hours Live Training
+ 35 Hours e-learning

Self Study & Practice
Projects & Assignments

Assessments & Projects
19 Hours

Applied AI, as the name suggests, is focused on teaching how to apply AI to enhance software applications and create machine learning models that can offer accurate insights while being scalable over time. Applied AI will teach you to solve business problems with working and deployable AI solutions like a pro. This Artificial Intelligence course in Bangalore will focus more on practical applications while balancing it with theoretical sessions spanning core topics from data science, machine learning, and artificial intelligence.

Why Opt for Artificial Intelligence and Machine Learning Courses in Bangalore?

India is expanding its AI horizons like never before. With various AI-driven initiatives like UPI(fintech) or the very recent ePassport with embedded chips (travel tech), AI is becoming core to everything you see or do. In India, Bangalore is taking the lead in AI growth. It is one of the first cities to have ranked in the top 5 cities in the world of AI.

Bangalore, in fifth place out of the top 50 cities with AI talent worldwide, is growing magnanimously in creating a thriving AI talent pool. The city’s tech ecosystem and pool of AI startups have paved the way for opportunities, and there is an urgent need for certification courses in artificial intelligence in Bangalore. In terms of talent pool, investments, and the evolution of digital foundations, Bangalore remains one of India’s top cities.

What is Applied AI?

Applied AI is an extension of artificial intelligence focusing more on solving real-world problems. It encompasses all the tools and artifacts of AI—from experimentation to production—and delivers real-world results.

Self-help Guide: What is Applied AI?

Applied AI vs. AI: Are they not the same?

As mentioned, Applied AI is an extension of AI, which is a broader term.

Artificial intelligence performs tasks that otherwise require human intelligence. Understanding natural language or recognizing useful patterns in data are classic AI examples.

Applied AI leverages this power to solve business-specific problems. For instance, developing a sophisticated machine learning model and using it to improve customer support is an example of Applied AI.

The distinction between Applied AI and AI is essential because technology alone cannot thrive. It is not worth it unless it is put into meaningful use.

The same philosophy is incorporated into our Applied Artificial Intelligence Course in Bangalore. This artificial intelligence certification course will teach you how to implement technical know-how to solve business problems.

The impact of AI is so pervasive that it is almost impossible to imagine a world without it. As Google DeepMind now explores the possibilities of language models being manipulative and persuasive, there isn’t a better time to start learning AI and match the pace at which it is evolving. Don’t wait; start now and stay ahead of the curve.

Our Full-Stack Applied AI Course is powered by deep industry knowledge and relevance. It is designed to accommodate market demands anytime and offers signature end-to-end mentor guidance through an industry-relevant, extensive, and future-ready curriculum.

Why Learn Artificial Intelligence and Machine Learning Course with AnalytixLabs?

AnalytixLabs has been on the frontline, enabling data enthusiasts with an industry-relevant course curriculum and hands-on training. Our courses are designed to match market demands, recent trends, and a learning pace suitable for students and professionals from varied backgrounds.

Our Applied AI course continues to deliver the core learning objectives signature to AnalytixLabs –

  • To help you master the essential tools and develop an eye for detail, you’ll begin with foundation blocks in data science and analytics, mathematics, and statistics. This will be followed by computer vision and language models, ML Ops and cloud deployment, data science with Python, Statistics, and predictive modeling before moving into machine learning using Python and NLP. The gradual learning process allows ample opportunity to grasp each section thoroughly before advancing to the next phase.

  • Master the artificial intelligence profession. Our online artificial intelligence courses aim to elevate you to expert status. You will develop machine learning and deep learning proficiency, master various skills and tools, and enable your organization to make smart, data-driven decisions confidently.

Our Artificial Intelligence Online Course will teach you how it relates to other predominant fields, such as Data Science and Machine Learning. These interconnected fields leverage advanced algorithms and the power of data to drive decision-making and automate processes, with data science providing the foundational knowledge for AI technologies.

Artificial Intelligence Course Syllabus in Bangalore

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Module 1: Generative AI & No-code Agentic AI
AI Foundations
  • AI vs. Automation vs. Analytics
  • AI, Machine Learning (ML), Deep Learning (DL) – differences & connections
  • Narrow AI vs. General AI vs. Super AI
  • Core AI applications (NLP, CV, Robotics, Predictive Analytics)
  • Traditional AI vs. Gen AI
  • Every day, GenAI applications
  • How does GenAI work?
  • Key models (GPT, Claude, Gemini, LLaMA)
  • Text generation & completion techniques
  • Prompt Engineering basics: role, task, context
  • Core Prompting Tasks (Text generation & completion, Summarization (short & detailed), Rewriting in different tones/styles)
  • Prompt Structures (instructional, role-based)
  • Prompting Techniques (Zero-shot prompting, Few-shot prompting, Chain of Thought (CoT) prompting, Role Prompting, Multi-turn interactions (context retention), etc..
  • Limitations of prompting
  • Evaluating GenAI output quality
  • Introduction to transformers
  • LLMs vs. SLMs
  • Popular LLMs (GPT, Claude, Gemini, LLaMA) – Overview – Strengths & Limitations
  • Introduction to Embeddings
  • No-code AI overview
  • Intro to workflow automation tools
  • Introduction to Zapier basics (triggers & actions), n8n workflow design, Make.com integrations
  • AI-powered productivity with Notion AI for task automation & summarization, Airtable for data storage & automation, Glide for mobile app prototyping, etc.
  • Design & Storytelling Tools
  • Integrating AI into everyday workflows – Linking AI workflows with business processes
  • Prototyping with no-code/low-code tools
  • Agentic AI vs. AI Agents
  • Key components of Agentic AI: memory, planning, tool use, autonomy
  • AI Orchestration with no-code tools
  • Agent frameworks
  • Responsible AI principles: Fairness, Accountability, Transparency, Explainability
  • Global AI Ethics Frameworks
  • Safe & Responsible usage
  • Responsible AI: Guardrails
Module 2: Applied AI: Agentic AI systems using Python
Python for AI & Analytics
  • Essentials of Python Programming
  • Data Types & Operators
  • Data Structures
  • In-Built Functions & Methods
  • Conditional & Control Flow Statements
  • User Defined Functions, Classes
  • Exception Handling
  • Python Packages for Data Analytics
  • Setting up the development environment
  • Installing and configuring tools like VS CODE, JUPYTERLAB, GitHub
  • Best practice for managing dependencies and optimizing the workspace
  • Numpy & Pandas for AI workflows
  • Functions & Classes in Python
  • Working with APIs (REST APIs, JSON handling, requests library)
  • Transformers Architecture Basics(Introduction, attention, multihead attention, encoder-decoder with context)
  • The Main Idea behind the Transformer
  • Coding self-attention in Pytorch
  • Self-attention and Masked Self-attention
  • Hugging Face Transformers basics
  • Pre-trained vs fine-tuned models
  • Fine-tuning pre-trained models (BERT, GPT-style)
  • Parameter-efficient fine-tuning (PEFT, LoRA, adapters)
  • Language modeling concepts
  • Tokenization & embeddings
  • Implementing a simple GPT model step by step
  • Training with a toy dataset
  • Training loop & loss function
  • Text-to-Image models (Stable Diffusion, DALL·E)
  • Image-to-text models (BLIP, CLIP, Flamingo)
  • Text-to-Speech and Speech-to-Text APIs
  • Speech-to-text (Whisper)
  • Combining modalities (vision + text)
  • Multi-modal pipelines (text+image, text+audio)
  • LLM Wrappers & APIs
  • Prompt engineering strategies
  • LangChain components: Memory, Tools, Chains, Agents
  • LangChain wrappers and memory
  • Orchestrating LLM workflows
  • Building basic agents
  • Introduction to embeddings  (SBERT, OpenAI, Cohere)
  • Vector embeddings and similarity search
  • FAISS & Pinecone, Weaviate for vector search
  • Building RAG(Retrieval-Augmented Generation) pipelines
  • Integrating Fusion & Re-ranking (Practical Sketch)
  • Introduction to LLM Agent Systems
  • CrewAI & AutoGen overview
  • Multi-agent coordination
  • Task decomposition & delegation
  • Building workflow-driven AI agents
  • Tools, memory, reasoning
  • Deployment & Use Cases
  • LangGraph introduction
  • Designing agent workflows with graphs
  • State management in multi-agent systems
  • MCP for standardized context sharing
  • Future of agentic AI ecosystems
  • Agent to Agent Protocols (A2A)
  • Testing & Evaluating LLM Apps/outputs (metrics, hallucination checks & frameworks)
  • Monitoring & debugging with LangSmith
  • App deployment with Streamlit, Gradio
  • API deployment with FastAPI
Module 3: Advanced AI: Computer Vision & Reinforcement Learning
  • Introduction to AI & Deep Learning (AI)
  • Artificial Neural Network
  • Introduction to Cloud Keras, Pytorch
  • Computer Vision & Applications
  • Convolution Neural Nets – Architecture – Implémentation
  • Popular ImageNet models & Transfer Learning
  • E2E Custom Data training framework in Pytorch
  • Computer Vision – Object Detection , Encoders
  • Reinforcement Learning

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Who should do the AI course?

This course is specifically designed for:

  • AI/ML Career Aspirants – Build a complete skill set from Generative AI to Computer Vision & Reinforcement Learning.
  • Working Professionals & Data Practitioners – Upskill to applied AI with hands-on python programming , deployment, and advanced systems.
  • Researchers & Enthusiasts – Explore cutting-edge applications of agentic AI, deep RL, and CV.
  • SMBs & Tech Innovators – Leverage scalable AI approaches (from no-code to advanced) without heavy R&D costs.

Learning Objectives

  • Master AI Foundations
  • Develop Prompting & No-Code AI Skills
  • Build Applied AI Solutions with Python
  • Gain Hands-On Experience in Computer Vision
  • Understand Reinforcement Learning
  • Design Integrated AI Systems
  • Deploy & Evaluate AI Models
  • Deliver Real-World Capstone Projects

Learning Outcomes

Graduates of the program will be able to:

  • Communicate AI concepts to both technical and business audiences.
  • Design prompts and no-code workflows for productivity and automation.
  • Build and deploy LLM-based apps with LangChain, RAG, and multi-agent systems.
  • Implement computer vision models for tasks like image classification, surveillance, or defect detection.
  • Apply reinforcement learning for decision-making, optimization, and autonomous systems.
  • Develop advanced AI prototypes — from chatbots to CV-enabled drones.
  • Integrate AI safely and ethically into real-world workflows.
  • Showcase an AI portfolio with capstone projects across Generative, Agentic, and Advanced AI.

Projects

  • Objective: Build an AI assistant that helps with productivity using GenAI + No-Code Automation using tools like zappier, make or n8n etc..
  • Problem Identification: Choose a real productivity pain point (e.g., too many emails, meeting overload, research notes etc..)
  • Workflow Design: Build automation using Zapier/n8n to connect AI with apps (Notion, Google Docs, Slack).
  • Chatbot Assistant: Use ChatGPT/Notion AI for contextual Question & answers.
  • Interface Prototype: Build front-end in Glide/Tome AI.
  • Final Presentation & Demo: Live demo + explanation of workflow + reflection on ethics
  • Should automate at least 3 tasks (e.g., meeting notes → task assignment → daily summary email)
  • End-to-end AI Agentic Workflow integrating multiple modules.

Assignments

  • Add extra features: e.g., voice input, task prioritization, or reminders.
  • Explore alternative integrations (Slack, WhatsApp bots).
  • Document your workflow and share video demo

AI Engineer: AI Engineers utilize artificial intelligence and machine learning techniques to develop systems and applications that enhance business decision-making, reduce costs, and improve overall efficiency. They work on designing, building, and deploying AI models and algorithms.
Machine Learning Engineer: Machine Learning Engineers are integral to data science teams. They research, develop, and deploy machine learning models, and are also responsible for maintaining and improving existing AI systems. Their work involves extensive collaboration with data scientists and other engineers.
Robotics Specialist: Robotics Specialists coordinate and streamline efforts between engineering and programming teams to create and integrate robotic systems. They are responsible for the development, maintenance, and implementation of programming structures, ensuring quality control before system deployment.
Computer Vision Engineer: Computer Vision Engineers specialize in enabling computers to interpret and process visual data. They develop algorithms and systems for object recognition in images and videos, leveraging machine learning and image processing techniques to solve complex visual problems.
Data Scientist: Data Scientists identify critical business queries and locate relevant data to address them. They possess strong business acumen and analytical skills, enabling them to mine, clean, analyze, and present data to stakeholders in a meaningful way.
AI-ML Specialist: AI-ML Specialists design, develop, and modify AI applications, tools, and other solutions to support business objectives. They are experts in computer algorithms, AI design, machine learning models, and cybersecurity principles, playing a crucial role in advancing AI capabilities within an organization.

Skills You Will Learn

This artificial intelligence certification course includes a comprehensive technical and soft skills range.

Technical Skills

Applied AI is not just about contextualizing business models but also involves improving how we interact with everything. The core technical skills that will give you a holistic learning experience include (but are not limited to) –

Large-Scale Analytics on Cloud
Harness cloud computing platforms for efficient handling, processing, and analyzing massive datasets. Build and deploy AI ML models using cloud-native tools. You will be equipped with the skills to design and implement scalable AI solutions on cloud platforms, making you adept at handling big data challenges.

Predictive Modelling using Neural Network
Once trained, neural networks can perform various predictive tasks, like predicting future stock prices or expected values. You will master this skill of building predictive models to predict numbers and perform classification like buses, flowers, vehicles, birds, furniture, etc.

Image Processing Using Deep Learning Techniques
You will learn to identify and remove ancillary noise from images and extract useful information. Convolutional Neural Networks are deep learning neural networks that can help identify patterns occurring naturally in images. Image processing mainly has six techniques: image restoration, linear filtering, pixelation, image generation technique (GAN), independent component analysis, and template machine.

Natural Language Processing & Generation (Chatbots)
Natural Language Processing (NLP) functions on three core pillars –

  • Natural Language Processing (NLP)
  • Natural Language Understanding (NLU)
  • Natural Language Generation (NLG)

This skill will teach you to train chatbots to read human inputs through NLP, understand the meaning of the input/query, and generate the most accurate response using NLG. These bots continue to refine their responses based on available data from previous interactions. You will get familiar with the four-step process of conversational chatbots –

  • Gathering inputs
  • Analyzing the input using NLU
  • Formulate a response using NLG
  • Use previous data to refine chatbot responses (machine learning algorithms)

Deep Learning Modelling for AI Applications
Deep learning leverages artificial neural networks to learn from data and mimic human tasks. Artificial neural networks mimic human brains and can perform various tasks like speech recognition, image recognition, and prediction of the future. You will learn to create deep learning models that will perform all such tasks with the most accuracy, including the process involved in preparing and cleaning data to feed into these models, model maintenance, and monitoring.

Data Science Methods
Data Science methods involve various techniques that will equip you with the knowledge to create, validate, test, and implement AI models. This course teaches you about classification, regression, pattern recognition, neural networks, predictive analysis, decision-making, inferential analysis, statistics, data visualization, EDA, data cleaning, and more.

Supervised Learning Models
Machine learning models are of two categories: supervised and unsupervised. Supervised learning models use labeled datasets and train algorithms. These models predict outcomes and recognize patterns.

You will understand how supervised models can reduce friction for organizations aiming to create complex models that can make accurate predictions. Simultaneously, with this skill, you will be ready to step into fields of your choice, including healthcare, marketing, finance, and more.

Unsupervised Learning Models
As the name suggests, unsupervised models are not trained using labeled datasets. Instead, models independently identify hidden patterns and insights from large datasets. Unsupervised learning models can be helpful when dealing with huge datasets. They are allowed to act on the data without any supervision. However, this is also one of the reasons why unsupervised learning cannot be directly applied to regression or classification, as the outcome is unpredictable.

With this skill, you can contribute to applications like exploratory data analysis, anomaly detection, customer segmentation, big data visualization, and more.

Soft Skills You Will Learn

Our Artificial Intelligence course with placement in Bangalore also focuses on essential soft skills. We also empower you with the following soft skills:

  • Critical Thinking
  • Effective communication
  • Effective Time Management
  • Collaboration and Adaptability

Capstone Projects Included in The Course Module

Our Applied AI course is one of the best artificial intelligence courses in Bangalore due to its extensive assignments and projects. Each assignment and project will help you implement your course learning into action and prepare you for realistic business challenges. These projects will act as your portfolio and affirm your in-depth knowledge of this subject matter.

Assignments included:

  • 10 short exercises on NumPy & Pandas
  • 1 Assignment on basic Python
  • 4 case studies on Pandas for data munging, descriptive & visual analysis
  • 2 exercises for statistical analysis
  • 3 Basic exercises (Excel, SQL & Tableau)

The assignments are integral to each module and are spread across the course duration. To earn the certificate, you must complete the assignments successfully and submit them for review.

Capstone Projects Included:

There are a total of 17 projects in this course module. You must complete the projects as and when assigned to be eligible for the course completion certificate.

  • Image classification for inventory management (AI DL)
  • Machine Language Translation (French to English & Hindi to English)
  • Stock price forecasting (Deep Learning)
  • Image classification project (AI DL)
  • Credit Card fraud detection (Deep Learning)
  • Automated image captioning (AI DL)
  • Age detection using images (AI DL)
  • Toxic comments classification (Deep Learning)
  • Image classification & localization (Using YOLO)
  • Network intrusion detection (Supervised machine learning)
  • Online job posting analysis (Text mining & NLP)
  • Banking customer cluster (Unsupervised machine learning)
  • Retail chain sales forecasting (multivariate time series)
  • Predicting credit card spend (regression methods)
  • E-commerce recommendation engine (MBA)
  • Chatbot creation (Seq2seq Deep Learning)
  • Bank reviews analysis (Text mining & NLP)
Know more about project

Programming Tools and Languages

tools7
tools8
tools9
pandas
python
hadoop
spark
tools5
tools6

Applied Artificial Intelligence Course in Bangalore – Learning Methodology

AnalytixLabs is voted one of the premium data science and analytics institutes in Bangalore, India. We are home to data and AI enthusiasts from various fields, domains, and industries since 2011 and still counting. Our artificial intelligence certification course in Bangalore focuses on practical learning. We offer an experiential learning environment that is designed to transform your career.

Our course curriculums are regularly updated and modified to align with the changing demands of the industries and new trends in the domain. We offer two distinct learning modes to meet our students’ needs and preferences. 

We encourage students to choose from diverse learning modes, including interactive live online sessions, and self-paced e-learning modules. Throughout the course, all students are granted access to a cutting-edge learning system that is continuously updated to meet industry requirements.

Interactive Live Online

Blend the dynamic experience of traditional classroom with engaging, real-time interactive sessions, carefully tailored to meet the demand of busy schedules. This innovative approach ensures effective learning, fostering a deeper understanding and retention of knowledge.

Blended eLearning

Fuse the rich atmosphere of classroom instruction with the flexibility and accessibility of eLearning modules, meticulously integrated to accommodate learning preferences. This unique blend ensures an optimal learning experience, empowering participants to delve into subjects deeply.

In our Applied AI  training in Bangalore, we prioritize a personalized approach with small batch sizes and individualized counseling, fostering high dedication and personal attention.

The curriculum is designed to integrate practical exercises and real-world business datasets into practice assignments, ensuring that knowledge retention is comprehensive and practical.

Artificial Intelligence Course Fees in Bangalore

AI course fees are often perceived as high, but our artificial intelligence course fees are reasonable and in line with industry norms, ensuring accessibility for all.

Interactive Live Online with Blended eLearning

₹ 58,000 + taxes

Blend the dynamic experience of traditional classroom with engaging, real-time interactive sessions, carefully tailored to meet the demand of busy schedules. This innovative approach ensures effective learning, fostering a deeper understanding and retention of knowledge.

  • Fees payable in installment​s
  • 0% Interest EMI – Pay in Easy Installments (though education financing partners)
  • Cost-effective courses with high ROI, making it worth every penny you invest.
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AI Course Certification Details

​AnalytixLabs certifications are highly regarded in the industry due to our extensive domain expertise. As India’s leading Data Science and AI institute, we must maintain the integrity of our certification process.

​Certification will be granted only if the specified requirements within the course timelines are met, which include completing case studies and multiple-choice questions (MCQs), among others. Each candidate will have two attempts to pass each assessment.

​We aim to provide trainees with essential hands-on experience to prepare them for industry challenges.

​Certification must be secured within one year of course registration.

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Full Stack Applied AI Course with Placement Support

AnalytixLabs offers strong placement support as part of its Advanced Certifications in AI, Data Science, and Analytics. A dedicated team provides personalized career guidance and job assistance, aligning with each student’s educational background and prior work experience. This comprehensive support is aimed at helping students successfully launch or transition into careers in data science and analytics.

Placement Readiness Program

The Placement Readiness Program is a 6–8 week, industry-aligned module designed to give you a competitive edge after certification.

It goes beyond technical skills, offering expert guidance on resume building, interview coaching, and real-world simulations. With strong industry referrals, strategic job search planning, and personalized feedback, the program ensures you're not just prepared for the job market—you’re ready to stand out in it.

Diverse Job Opportunities

• Access to job opportunities through direct collaborations with organizations, reputed recruiters, and the extensive AnalytixLabs Alumni network.

• Many students receive multiple interview calls and see a significant boost in career prospects.

• Success, however, depends on a combination of the candidate’s dedication and the institute’s support. Active participation and timely course completion are essential for maximizing placement outcomes.

Continuous Career Support

Your journey with AnalytixLabs doesn’t end after completing the Placement Readiness Program. We offer ongoing placement support to ensure you stay on track until you achieve your career goals.

Our dedicated team continues to assist with job opportunities, interview preparation, and personalized guidance as long as you need it. Many of our students benefit from multiple interview calls and long-term career growth, thanks to the strong foundation and in-demand skills built during the course.

Check your Eligibility

Candidates Trained by Us Are Working in Leading Companies…

Download our Latest Placement Report
Student Journey Highlights: A Peek

What Students Say About Us?

True Stories, Transformative Career Experience

Piyush Ganar, Class of 2012 IIM Ahmedabad

(Director of Operations,  Kenty.AI)

The course material is very easy to understand and the case studies were based on real time business problems. What I love the most about Sumeet and his team is that they never operated the institute like a typical commercial enterprise but more like a temple for learning. The gates of Alabs are always open for students for any kind of help and guidance. I would recommend ALabs to all.

Raajeev Kumar Sahu

(Senior Manager – Data Science, FinTech Startup)

I am from Advance Big Data Science course of Nov 2016 batch. The course was very structured and got real world problems to practice during the final case studies. It has also boosted my skills to start participating in the hackathons. Chandra sir was really helped me in preparing my resume right from very beginning of the course. Also, the placement team was very well organized and connected to industry leaders so that people get the right opportunity right after completing the course. I really recommend this institute, who are interested to transition into analytics field.

Sumit Asthana

(Assistant Manager, Senior Data Scientist)

The rapid pace at which the institutes are mushrooming all over India and Facebook newsfeed being inundated with thousands of options for analytics training, there are only handful of training institutes or rather say only couple of places where they prepare you to foray into rapidly growing analytics vertical. I have been working into legacy systems for past 5 years and was quite apprehensive if I will ever break into data science successfully.

Surbhi Sultania

(Analytics Manager, Mastercard Data & Services)

I took three months Big Data training from Analytix labs. Before joining this course, I had so many questions and doubts that will this course be worthy enough but later I found myself lucky to join this program. All trainers are amazing and always ready to help. Live examples and Case Studies are given which helps in understanding the concept and hands on practice.Not only they help in quality in depth knowledge transfer but also tend to give right direction to your career.

Vibhu Gautam

(Professor of Practice – Computer Science, UPES)

I had been associated with AnalytixLabs since 2012. This has been possible because of the mentor ship and support you get from faculty there specially from Sumeet and Chandra.I did a Business Analytic course with a focus on Marketing Analytic. The course deliver had been great and most importantly you never feel like you are part of formal classroom teaching. You are mentored there at every step, from Code Errors to Understanding Statistics behind it. 

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Frequently Asked Questions

Absolutely, coding skills are often a prerequisite for artificial intelligence (AI) courses. Nonetheless, our best artificial intelligence online course is uniquely designed to accommodate individuals without coding experience.

Whether you’re new to programming or have a limited technical background, our online courses for AI start from the fundamentals. You’ll learn AI concepts step by step, build a solid foundation, and acquire essential artificial intelligence and machine learning skills.

Through our comprehensive approach, you’ll gain confidence and proficiency in applying AI techniques to real-world challenges, empowering you to succeed in this rapidly evolving domain.

Artificial intelligence (AI) and machine learning (ML) are closely intertwined concepts with distinct technological meanings and applications.

Artificial intelligence encompasses machines intelligently performing tasks, resembling various human cognitive functions like learning, problem-solving, and perception. It aims to develop systems that exhibit behaviors typically associated with human intelligence.

On the contrary, machine learning is a specialized area within artificial intelligence that focuses on developing algorithms that can help computers learn from data and make predictions or decisions autonomously.

ML algorithms leverage statistical techniques to improve their performance on specific tasks over time, learning from patterns in the data without explicit programming instructions.

  • AI is designed to build intelligent machines capable of simulating human behavior.
  • ML is a specific technique or approach within AI that involves developing algorithms to enable machines to learn from data and make decisions or predictions.

Read our detailed Data Science vs. ML vs. AI blog for more insights.

Individuals from various technical or quantitative disciplines, such as engineering, mathematics, statistics, and business management, aspire to strengthen their proficiency in advanced analytics, AI, and machine learning. After completing the Machine Learning and AI courses, they excel at leveraging these technologies for advanced applications.

A robust technical foundation and a genuine passion for artificial intelligence will give you a notable edge as you launch your career path after completing our comprehensive applied AI courses.

Our artificial intelligence course in Bangalore balances technical and semi-technical skills learning throughout the curriculum. While the technical aspects are comprehensively covered in our course module, our mentors will equip you with essential soft skills like critical thinking, prompt action, and effective communication so that you stay ahead of the competitive curve.  

We believe a proper balance between technical and domain understanding is extremely important to outshine your competitors in the real world. Both go hand-in-hand, and our course teaching sessions incorporate it perfectly. Our mentors share real-life experiences and offer hands-on training with industry-relevant projects, preparing you thoroughly to win every challenge in the coming days.

Our Applied AI course has three distinct learning modules for you to choose from: 

  • Classroom and Bootcamp Learning: Enroll for an immersive learning experience with our weekend bootcamps, or opt for our artificial intelligence course in Bangalore on weekdays or weekends with our dedicated live sessions. Benefit from the power of in-person mentorship during weekday classroom bootcamps, ensuring a rich and experiential learning environment that enhances practical understanding and application.
  • Classroom experience with ILT: Immerse yourself in the dynamic nature of traditional classroom instruction complemented by engaging, real-time interactive sessions. Carefully designed to cater to busy schedules, this innovative approach ensures effective learning, fostering deeper understanding and long-term knowledge retention.
  • Classroom blended with eLearning: Combine the immersive classroom learning atmosphere with the flexibility and accessibility of eLearning modules seamlessly integrated into the curriculum. This unique blend provides participants with an optimal learning experience, empowering them to explore subjects more comprehensively and at their own pace.

Choosing courses on artificial intelligence in Bangalore is a significant decision. It involves carefully examining curriculum, duration, projects, and more.

Suppose you come from a technical or quantitative background with a degree or experience in Engineering, Mathematics, Statistics, or Business Management, and you’re eager to excel in AI and machine learning. In that case, our course is tailor-made for you. We’ve outlined all the course specifics above.

In our AI and ML courses, you’ll benefit from learning from industry-leading experts with substantial field experience. Our course fee is set according to industry standards. For further information, feel free to explore our brochure for comprehensive details.

Access to LMS and course materials is granted for one year. Additionally, you can retake any classes as needed within the subsequent year following course completion, subject to batch change policies.

Please note that for AnalytixLabs content, the typical access duration to co-branded global certification materials is limited to six months.

For genuine circumstances requiring further access to our artificial intelligence courses, recording access can be extended up to one year after the initial one-year validity period. It’s important to recognize that our courses are continuously updated to reflect industry developments, and older content may become outdated. Therefore, we do not guarantee lifetime access merely for promotional purposes.

While we don’t provide an artificial intelligence free course in Bangalore, we actively engage with learners through informative and interactive webinars. These webinars focus on the latest developments and technologies in the industry, offering valuable insights that you can leverage to enhance your understanding of AI. We encourage you to join these sessions to stay updated and informed.

In addition to our webinars, you can explore a wealth of knowledge on AI-related topics through our AnalytixLabs Blogs and Medium Channel channels. These resources are designed to broaden your horizons and deepen your expertise in the domain, covering various subjects, from basic concepts to advanced applications.

Our expansive and dynamic artificial intelligence courses offered online are thoughtfully designed to accommodate a wide range of learners, including college students, recent graduates, and professionals currently active in their careers.

This comprehensive course is particularly well-suited for individuals with a strong technical or quantitative foundation, such as those with backgrounds in Engineering, Mathematics, Statistics, Business Management, or related fields.

Whether you want to deepen your knowledge, transition to a new career path, or enhance your current skill set, our program provides the ideal opportunity to thrive in the exciting field of artificial intelligence.

Upon completing this course, your skills will be highly receptive to the job market. An array of exciting opportunities and diverse roles await exploration, including positions such as (but not limited to):

  • AI ML Specialist
  • AI Specialist
  • Analytics Consultant
  • Data Science Specialist
  • Data Science Consultant
  • Data Scientist
  • Machine Learning Specialist
  • AI Engineer

These roles represent a glimpse into the many career paths in artificial intelligence, machine learning, analytics, and data science. Each role offers unique challenges and growth prospects tailored to individuals with a strong foundation in these areas.

Yes. Our AnalytixLabs community is a thriving community of data scientists, ML specialists, AI enthusiasts, and deep learning experts. You can be a part of this community from day one without additional cost. From asking basic to complex questions to answering and helping your fellow members, you can participate in all the events and workshops hosted within the community. 

You can keep networking as much as you want, meet new people, and explore exclusive opportunities in this community.

Yes. We understand the traffic challenges in Bangalore, so our blended classroom is a popular option for most students. To combat the traffic challenges, you can opt for complete self-study weekend sessions or fully virtual training. If you are far from our learning center, mention it to our expert on call during the pre-enrollment consultation process so our mentors can guide you with the best available learning mode that offers flexibility while ensuring learning effectiveness.

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