We are making Hands On AI, Hands On Machine Learning simpler for everyone

AI Demystified: Your Passport to a Future-Ready Skillset

Everyone's talking about AI, and it's undoubtedly the future. But how do you actually dive into AI? The internet is flooded with videos, blogs, and papers, yet many aspiring AI enthusiasts struggle to unlock its magic. Is it tough? NEVER!.

Join us, where even with zero programming experience, we'll demystify AI concepts. Through live coding and real implementations, we'll guide you through AI algorithms like Fraud Detection, Prediction Analytics, Forecasting, Recommendation Systems, and more.

What sets us apart? These algorithms and codebases can seamlessly integrate into your organization or serve your professional needs like a Plug-and-Play Service.

But that's not all. After each hands-on session, we'll provide you with real-world business use cases. It's not just about learning; it's about coding what you've learned!"

What people are saying

Plethora of AI Job Opportunities

150 million new Data-AI related jobs will be created in the next two years.

World Economic Forum

2020

This is the age of artificial intelligence. Whether we know it or not, we all interact with AI every day - whether it’s in our social media feeds and smart speakers, or on our online banking. AI, and the data that fuels our algorithms, help protect us from fraud and diagnose serious illness. And this technology is evolving every day.

NADINE DORRIES

SECRETARY OF STATE FOR DIGITAL, CULTURE, MEDIA AND SPORT, UK Gov

40% of organizations have thousands of AI models deployed.

Gartner

Global Spending on AI will double over the next four years, to $110 Billion in 2024.

IDC

The premier global market intelligence firm.

World Economic Forum

NADINE DORRIES

SECRETARY OF STATE FOR DIGITAL, CULTURE, MEDIA AND SPORT, UK Gov

Gartner

Gartner Research

IDC

Dream. Learn. Achieve: Explore AI Opportunities After the Course

Embrace the Power of AI and Machine Learning Elevate your career and seize opportunities in the digital age with our AI upskilling platform. Discover how AI and machine learning are reshaping industries and driving innovation. From understanding the fundamentals to mastering advanced applications, our platform empowers you to harness the true potential of AI.

When you hear news about artificial intelligence , it might be easy to assume it has nothing to do with you. You might imagine that artificial intelligence is only something the big tech giants are focused on, and that AI doesn't impact your everyday life. In reality, artificial intelligence is encountered by most people from morning until night. Stay ahead in a world where AI touches every aspect of life. Join us in shaping the future today.

Healthcare Finance Retail and E-commerce Oil Gas Energy Manufacturing & Transportation IT & Real Estate All

AI Engineer

AI engineers develop, deploy, and maintain AI-powered solutions that solve real-world problems.

Simulation Data Scientist

Applies data-driven simulations to optimize processes and maximize efficiency in the oil and gas sector

Seismic Data Analyst

eismic data analysts in the oil and gas industry use seismic data to identify and characterize oil and gas reservoirs

Geospatial Data Analyst

Geospatial data analysts in the oil and gas industry use spatial data, such as maps and satellite imagery, to identify and characterize oil and gas reservoirs.

Renewable Energy Modeler

Renewable energy modelers in the oil and gas industry use data and mathematical models to predict the output of renewable energy sources, such as solar and wind power.

Credit Scoring Modeler

Credit scoring modelers in the finance industry build and evaluate models that predict the likelihood of loan default, which helps lenders make informed lending decisions.

Fraud analyst

Fraud analysts in the finance industry use data and analytics to identify and prevent fraudulent financial transactions, which helps protect businesses and consumers from financial loss

Supply Chain Analyst

Supply chain analysts in the manufacturing and e-commerce industry use data and analytics to optimize the flow of goods and materials through the supply chain, which helps to improve efficiency, reduce costs, and increase customer satisfaction

Algorithmic Trader

Algorithmic traders in the finance industry use computer algorithms to analyze market data and make trading decisions, which can help to improve trading performance and reduce risk

Computer Vision Engineer

Computer vision engineers develop and apply algorithms to extract meaningful information from digital images and videos.

Financial Data Scientist

Financial data scientists in the finance industry use data science techniques to analyze financial data and make informed business decisions.

Sales Forecasting Analyst

Sales forecasting analysts in the commerce and manufacturing industry use artificial intelligence to develop models that predict future sales, which helps businesses to make informed decisions about inventory, pricing, and marketing.

Clinical Data Analyst

Clinical data analysts in the healthcare industry use artificial intelligence to analyze patient data and improve patient care, such as by identifying diseases earlier, recommending treatments, and predicting patient outcomes

Machine Learning Engineer

Machine learning engineers build and deploy artificial intelligence models to solve real-world problems.

Health AI Researcher

Health AI researchers in the healthcare industry develop artificial intelligence solutions to improve healthcare, such as by developing AI-powered tools to help doctors and nurses make better decisions, analyzing large datasets of patient data to identify patterns and trends, and developing AI models to predict patient outcomes.

Data Scientist

Data scientists use their knowledge of statistics, machine learning, and programming to analyze data and extract insights that can be used to improve decision-making.

Predictive Maintenance Engineer

Predictive maintenance engineers in the manufacturing industry use artificial intelligence to analyze data from equipment sensors and predict when maintenance is needed, which helps to prevent equipment failures and unplanned downtime.

Autonomous Vehicle Engineer

Autonomous vehicle engineers in the manufacturing industry use artificial intelligence to design systems that allow self-driving cars to navigate roads, avoid obstacles, and react to dynamic traffic conditions.

Housing Market Analyst

Housing market analysts in the real estate industry use artificial intelligence to analyze data on housing prices, sales, and demographics to forecast future housing market trends, which helps businesses and individuals make informed decisions about buying, selling, and investing in real estate.

Property Price Prediction Analyst

Property price prediction analysts in the real estate industry use artificial intelligence to analyze data on property characteristics, market conditions, and historical sales prices to predict the future value of properties, which helps businesses and individuals make informed decisions about buying, selling, and investing in real estate.

Risk Management Specialist

Risk management specialists in the retail and commercial finance industry use artificial intelligence to analyze data and identify risks, such as fraud, money laundering, and credit risk. They then use this information to develop and implement mitigation strategies to reduce the likelihood and impact of these risks

Our Syllabus,Projects will keep everyone upskilled in AI, ML

Week 1: Introduction to AI and Python Basics

Objective: Introduce participants to the field of AI, its applications, and lay the foundation of Python programming.

Expected Result: Participants should understand the scope of AI, be familiar with Python basics, and have a working Python environment.

Week 1: Curriculum

Understanding the concept and impact of Artificial Intelligence
Introduction to Python programming and its importance in AI
Setting up Python environment and installing Anaconda
Basic syntax, variables, data types, and operators in Python

Week 1: Project & Quiz

Week 2: Data Manipulation and Visualization with Python

Objective: Equip participants with the ability to manipulate and visualize data effectively using Python libraries.

Expected Result: Participants should be proficient in data cleaning, preprocessing, and creating insightful data visualizations.

Week 2: Curriculum

Introduction to data manipulation and its role in AI projects
Using NumPy for numerical data manipulation
Leveraging Pandas for data cleaning and preprocessing
Data visualization with Matplotlib and Seaborn for clear insights

Week 2: Project & Quiz

Week 3: Machine Learning Fundamentals

Objective: Introduce the fundamental concepts of machine learning and linear regression.

Expected Result: Participants should grasp the principles of machine learning, understand supervised vs. unsupervised learning, and be able to implement linear regression.

Week 3: Curriculum

Exploring the basics of machine learning and its real-world applications
Understanding supervised and unsupervised learning paradigms
Introduction to linear regression theory, equation, and interpretation
Hands-on: Implementing linear regression from scratch in Python

Week 3: Project & Quiz

Week 4: Intermediate Machine Learning Techniques

Objective: Familiarize participants with classification algorithms, model evaluation, and validation.

Expected Result: Participants should be able to apply Decision Trees and Random Forests for classification tasks, and evaluate models effectively.

Week 4: Curriculum

Introduction to classification algorithms: Decision Trees and Random Forests
Evaluating model performance using metrics like accuracy, precision, and recall
Cross-validation and hyperparameter tuning for model optimization
Hands-on: Building a Decision Tree classifier using scikit-learn

Week 4: Project & Quiz

Week 5: Deep Dive into Neural Networks

Objective: Provide a comprehensive understanding of neural networks and their components.

Expected Result: Participants should be capable of constructing basic neural networks and have an understanding of backpropagation.

Week 5: Curriculum

Anatomy of neural networks: layers, neurons, and activation functions
Forward and backward propagation: unraveling the magic of backpropagation
Building a simple feedforward neural network using NumPy
Hands-on: Implementing gradient descent for neural network training

Week 5: Project & Quiz

Week 6: Deep Learning Frameworks (TensorFlow/PyTorch)

Objective: Introduce participants to popular deep learning frameworks and their usage.

Expected Result: Participants should be comfortable building and training neural networks using TensorFlow or PyTorch and have an understanding of CNNs.

Week 6: Curriculum

Introduction to deep learning frameworks: TensorFlow and PyTorch
Constructing neural networks using high-level APIs in TensorFlow
Convolutional Neural Networks (CNNs) for image data and their architecture
Hands-on: Creating a CNN model using TensorFlow or PyTorch

Week 6: Project & Quiz

Week 7: Natural Language Processing (NLP) Basics

Objective: Introduce the realm of NLP and how to preprocess text data for analysis.

Expected Result: Participants should be able to tokenize text, understand the basics of NLP, and create a simple sentiment analysis model.

Week 7: Curriculum

Understanding the foundations of Natural Language Processing
Tokenization, stemming, and stopwords: preprocessing steps for text data
Building a sentiment analysis model using machine learning techniques
Hands-on: Developing a sentiment analysis classifier using NLTK or scikit-learn

Week 7: Project & Quiz

Week 8: Advanced NLP and Language Models

Objective: Dive deeper into NLP techniques, including word embeddings and pre-trained language models.

Expected Result: Participants should be able to work with word embeddings, understand the concept of Language Models (LLMs), and generate basic text using LSTMs.

Week 8: Curriculum

Word embeddings: Word2Vec and GloVe for capturing semantic relationships
Introduction to pre-trained language models like BERT and GPT-3
Building a text generation model using Recurrent Neural Networks (RNNs) and LSTMs
Hands-on: Training an LSTM-based text generator using TensorFlow or PyTorch

Week 8: Project & Quiz

Week 9: Unsupervised Learning and Dimensionality Reduction

Objective: Explore unsupervised learning techniques and dimensionality reduction methods.

Expected Result: Participants should be able to apply clustering algorithms like K-Means, use PCA for feature reduction, and interpret the results.

Week 9: Curriculum

Uncovering patterns with unsupervised learning: Clustering algorithms
K-Means clustering: algorithm, initialization, and finding optimal clusters
Dimensionality reduction using Principal Component Analysis (PCA)
Hands-on: Applying K-Means clustering and PCA on real-world datasets

Week 9: Project & Quiz

Week 10: Model Deployment and Ethics in AI

Objective: Teach participants how to deploy models and address ethical considerations in AI.

Expected Result: Participants should be able to deploy a model using Flask, create APIs, and understand ethical implications in AI.

Week 10: Curriculum

Deploying models to the real world: concepts and challenges
Introduction to Flask: creating APIs for model deployment
Ethical considerations in AI

Week 10: Project & Quiz

Week 11: Generative AI with GANs and LLMs

Objective: Introduce the concept of Generative AI and its applications in image and text generation.

Expected Result: Participants should be able to build basic GANs for image generation, integrate LLMs for text generation, and appreciate the creative potential of Generative AI.

Week 11: Curriculum

The magic of Generative Adversarial Networks (GANs): theory and components
Creating realistic images using GANs: generator and discriminator interplay
Introduction to Language Models (LLMs) and their significance
Text generation with LLMs: basics and practical applications
Hands-on: Generating images with GANs and text with LLMs

Week 11: Project & Quiz

Week 12: Capstone Project and Future of AI

Objective: Apply acquired knowledge to a real-world project, understand AI trends, and explore potential career paths.

Expected Result: Participants should complete a capstone project demonstrating their AI skills, present their project confidently, and have insights into the future of AI.

Week 12: Curriculum

Unleashing creativity in the capstone project: selecting a problem and planning
Guided project work: applying machine learning and AI techniques
Capstone project presentations: showcasing solutions and learnings
Exploring the future of AI: emerging trends, career possibilities, and continuous learning

Week 12: Project & Quiz

Some great, ideal words from our AI Enthusiasts

I've tried other AI courses, but this hands-on training is a league of its own. The live coding sessions made the concepts crystal clear. This is where theory comes to life!

Sushama

Data Scientist, SAP Germany

Perfect for beginners like me! The hands-on approach took away the intimidation factor. Now I'm not just watching – I'm coding and creating. Best way to dive into AI!

Melvin

Student, Germany

Hands-on is the key! This training is a blessing for anyone wanting to step into AI. From zero experience to actually building real projects, it's a journey that sets you up for success.

B Alias

Heidelberg

As a non-techie, the idea of AI was daunting. But the hands-on sessions made me realize it's not just for experts. It's exciting to see my own projects come to life!

Rabita

Nepal

Lets Code AI helped me alot to learn AI and its implementations.

Hari

Absolutely recommend this hands-on training! I'm amazed by how quickly I progressed from basics to creating AI models. It's the confidence boost every aspiring AI enthusiast needs

Muthu G

Lead Architect, India

If you're hesitant about AI, this is your gateway. The hands-on aspect gives you a strong foundation, letting you work on actual projects. It's like learning AI from the inside out!

Ravi

SAP

I've finally found an AI course that's practical and welcoming. Hands-on learning is the magic sauce here. Jumping from theory to real projects has been incredible!

Pottaraickal P

TCS

Cheapest AI, Simplest AI Learning for Everyone

Double the Fun, cut the Cost: Bring 2, Get Yours 50% Off!

AI Pioneers Program

$249/ Course

Mastering Python for AI

Harnessing the Power of Supervised Learning

Exploring the Mysteries of Unsupervised Learning

High level overview of Deep Learning

Bringing Models to Life: Deployment and API Mastery

Turning Knowledge into Action with Hands-On Projects

Join Now

SPECIAL

AI Mastery Quest

the most popular

$349/ Course

Everthing from Pioneers Program +

Delving into Deep Learning: Neural Networks and Architectures

Navigating Natural Language Processing (NLP)

Unlocking Computer Vision: Image and Video Analysis

Creating with Generative AI Models and LLM

Turning Knowledge into Action with Hands-On Projects

Expert Support through Email and Weekly Office Hours

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AI Fusion Accelerator

$1999/ Group*

Building upon Mastery Quest Benefits

Tailored Training Material to Suit Organiastion Requirements.

Acquire Project-Specific Skillsets.

* Min 10 people

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Join Our Team

Marketing Manager

Type: Full-time/Part-time (Remote), Location: Any

Lets Code AI is a cutting-edge AI upskilling platform that offers hands-on training in artificial intelligence and machine learning. Our platform is designed to provide individuals and institutions with practical, real-world experience guided by seasoned research scientists in the field. We are seeking a dedicated and experienced Marketing Manager to join our team and drive the growth of our platform by establishing collaborations with educational institutions and individuals.

Responsibilities:

Partnership Development:
- Identify and target potential partner institutions, universities, colleges, and training centers for collaboration.
- Develop and nurture relationships with key decision-makers in educational institutions to promote our AI education programs.
- Collaborate with institutions to create tailored AI education solutions that align with their needs and objectives.
Market Outreach:
- Develop and execute effective marketing strategies to promote our AI upskilling platform.
- Create compelling marketing campaigns, both online and offline, to reach individuals interested in AI education.
- Utilize social media, email marketing, content marketing, and other relevant channels to engage the target audience.
Lead Generation:
- Generate high-quality leads through targeted marketing efforts, events, and partnerships.
- Develop lead generation strategies to attract individuals seeking to enhance their AI skills and knowledge.
Event Management:
- Plan, coordinate, and participate in events, workshops, and webinars to showcase our platform's benefits and connect with potential partners and learners.
- Represent Lets Code AI at industry conferences and exhibitions to increase brand visibility.
Collaboration and Networking:
- Work closely with the content and technical teams to understand the nuances of our AI courses and effectively communicate their value to potential partners.
- Build a strong network within the AI and education communities to stay updated on industry trends and potential collaboration opportunities.
Analytics and Reporting:
- Track, analyze, and report on the performance of marketing campaigns and initiatives.
- Utilize data to refine strategies, optimize campaigns, and maximize return on investment.
Team Collaboration:
- Collaborate with cross-functional teams to ensure a seamless customer journey, from lead generation to course enrollment.
- Provide input on product positioning, pricing, and messaging based on market feedback.

Qualifications:

Marketing experience would be beneficial, but not mandatory.
Excellent communication and interpersonal skills.
Demonstrated ability to build and maintain partnerships.
Experience in organizing and managing events and workshops.
Experience in using marketing tools and platforms would be an added advtantage
Analytical mindset with the ability to interpret data and make data-driven decisions.
Self-motivated, creative, and resourceful individual who thrives in a fast-paced startup environment.

Application Process:

If you are a dynamic and results-driven marketing professional with a passion for AI education, we invite you to apply. Please submit your resume, a cover letter detailing your relevant experience, and any relevant portfolio materials to with the subject line as: Application for Marketing Manager to admin@letscodeai.com.

Lets Code AI is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.

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We are making Hands On AI, Hands On Machine Learning simpler for everyone

heading

What people are saying

Plethora of AI Job Opportunities

World Economic Forum

NADINE DORRIES

Gartner

IDC

World Economic Forum

NADINE DORRIES

Gartner

IDC

0% Programming Experience

Cheapest

100% Satisfaction

Moneyback Guarantee

OUR PROMISES ARE MEANT TO BE KEPT

What can I Expect, Achieve ?

10+

9+

10+

8+

Dream. Learn. Achieve: Explore AI Opportunities After the Course

AI Engineer

Simulation Data Scientist

Seismic Data Analyst

Geospatial Data Analyst

Renewable Energy Modeler

Credit Scoring Modeler

Fraud analyst

Supply Chain Analyst

Algorithmic Trader

Computer Vision Engineer

Financial Data Scientist

Sales Forecasting Analyst

Clinical Data Analyst

Machine Learning Engineer

Health AI Researcher

Data Scientist

Predictive Maintenance Engineer

Autonomous Vehicle Engineer

Housing Market Analyst

Property Price Prediction Analyst

Risk Management Specialist

Our Syllabus,Projects will keep everyone upskilled in AI, ML

Some great, ideal words from our AI Enthusiasts

Sushama

Melvin

B Alias

Rabita

Hari

Muthu G

Ravi

Pottaraickal P

We have some great, experienced talented Team

San

Christina

Could be You ?

Unlock Opportunities: Start now your , Join the AI Revolution: Propel your Future with Hands On AI

Cheapest AI, Simplest AI Learning for Everyone

AI Pioneers Program

$249/ Course

AI Mastery Quest

$349/ Course

AI Fusion Accelerator

$1999/ Group*

Join Our Team

Qualifications:

Application Process:

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